Mastering NoSQL Databases for Scalable Web Applications
You’re under pressure. The applications you're building or maintaining need to handle thousands - sometimes millions - of users. Performance is tanking. Downtime is creeping in. Your relational database isn’t cutting it anymore, and you’re being asked to scale fast, without failures. You’ve heard about NoSQL, but diving in feels risky. What if you choose the wrong database type? What if your team can’t adopt it smoothly? What if you invest months and still end up with brittle architecture? That ends now. With Mastering NoSQL Databases for Scalable Web Applications, you’ll gain complete clarity on how to design, implement, and manage NoSQL solutions that grow predictably, perform under load, and eliminate single points of failure. You’ll go from uncertainty to confidence, building data architectures that scale on demand. One engineer at a Fintech startup used this course to redesign their user session system using MongoDB. Within 10 days, they cut latency by 68% and reduced infrastructure costs by 40%. Today, it supports 1.2 million active users daily without fail. This course gives you a repeatable, battle-tested process to go from fragmented data struggles to robust, scalable systems in under 4 weeks - complete with a production-ready implementation strategy and a Certificate of Completion to validate your expertise. Here’s how this course is structured to help you get there.Course Format & Delivery Details Self-paced. Immediate access. Zero long-term commitments. This is not a time-bound bootcamp that forces you to choose between learning and delivering. You take control. Start today, progress at your own speed, and revisit content whenever you need it. What You Get
- On-demand access with no fixed start or end dates - study when it fits your schedule
- Typical completion in 4 to 6 weeks with just 60–90 minutes per day of focused learning
- Many professionals implement core components in under 14 days
- Lifetime access to all course materials, with ongoing updates integrated at no extra cost
- 24/7 global access from any device - fully mobile-friendly and compatible across platforms
- Direct access to expert-curated walkthroughs, real-world use case breakdowns, and implementation templates
- Dedicated instructor guidance through structured support pathways - get your questions answered with clarity
- A verified Certificate of Completion issued by The Art of Service, recognised by technology teams and engineering leaders worldwide
Risk-Free Enrollment With Guaranteed Results
We eliminate every barrier to starting. Our pricing is transparent with no hidden fees, no subscriptions, and no surprise charges. Secure checkout accepts Visa, Mastercard, and PayPal - complete your enrolment in under 60 seconds. You are protected by a full 30-day satisfied-or-refunded guarantee. If the course doesn’t deliver the clarity, practical tools, and confidence you expected, simply reach out for a complete refund. No forms, no hoops, no risk. After enrolment, you’ll receive a confirmation email. Once your course materials are fully prepared, your access details are sent separately - ensuring a polished, seamless learning journey from day one. This Works Even If...
- You’ve only used SQL databases before and feel behind on modern data architecture trends
- You’re overwhelmed by the number of NoSQL options and don’t know where to start
- You work in a regulated industry and need assurance on compliance and data integrity
- You’re not a senior architect but are expected to deliver scalable systems anyway
Real engineers in real roles are getting results: A backend developer at a healthtech startup used our Cosmos DB implementation framework to migrate from PostgreSQL in 3 weeks - now supporting 500,000+ daily API calls with 99.99% uptime. This course is built for adaptability. Whether you're in e-commerce, SaaS, IoT, or fintech, the frameworks apply directly to your stack. You gain not just knowledge, but proven confidence - the kind that earns trust from stakeholders, advances your role, and future-proofs your technical decisions.
Module 1: Foundations of NoSQL Architecture - Understanding data scaling challenges in modern web applications
- Limits of relational databases under high-velocity workloads
- When to use NoSQL vs when to stick with SQL
- Core principles: horizontal scaling, sharding, and eventual consistency
- The CAP theorem and its impact on database selection
- Trade-offs between availability, consistency, and partition tolerance
- Introduction to BASE model principles (Basically Available, Soft state, Eventual consistency)
- Data modeling differences: normalized vs denormalized design
- Use cases requiring real-time performance and global distribution
- Establishing scalability thresholds and key performance indicators
Module 2: Types of NoSQL Databases and Their Use Cases - Key-value stores: architecture, strengths, and ideal applications
- Comparing Redis, DynamoDB, and etcd for caching and session storage
- Document databases: hierarchical data representation
- Deep dive into JSON and BSON data formats
- When to choose MongoDB, Couchbase, or Firebase
- Column-family stores: vertical and horizontal scalability
- Apache Cassandra vs HBase: detailed comparison
- Time-series data handling with column-oriented designs
- Graph databases: managing complex relationships
- Neo4j vs JanusGraph for social networks and recommendation engines
- Wide-column benefits for analytics and large-scale ingestion
- Selecting the right type based on access patterns
- Hybrid NoSQL architectures in enterprise environments
- Multi-model databases: CouchDB, ArangoDB, and OrientDB
- Cost implications of each database type
Module 3: Data Modeling for Scalability and Flexibility - Designing flexible schemas for evolving requirements
- Embedding vs referencing: performance and consistency trade-offs
- Handling versioning in document structures
- Denormalization strategies without sacrificing maintainability
- Polyglot persistence: using multiple data stores in one system
- Schema evolution patterns in production environments
- Indexing strategies to avoid full collection scans
- Compound indexes and their impact on query performance
- TTL indexes for automatic data expiration
- Time-weighted data lifecycle management
- Handling many-to-many relationships in NoSQL
- Modeling hierarchical data with nested documents
- Avoiding anti-patterns: duplicate data, fan-out writes, excessive joins
- Data consistency boundaries and domain-driven design
- Event sourcing fundamentals with NoSQL integration
Module 4: Selecting and Evaluating NoSQL Technologies - Decision matrix: performance, durability, licensing, support
- Evaluating managed vs self-hosted solutions
- Cloud-native benefits with AWS DynamoDB, Google Cloud Firestore, Azure Cosmos DB
- Open-source maturity and community support assessment
- Vendor lock-in risks and mitigation techniques
- Cost comparison across cloud providers and open-source alternatives
- Latency SLAs and geo-replication capabilities
- Security features: encryption, authentication, access control
- Backup and disaster recovery readiness
- Monitoring and observability integration options
- Testing database failover and recovery procedures
- Compliance requirements: GDPR, HIPAA, SOC 2
- Evaluation checklist for enterprise adoption
- Prototyping and PoC best practices
- Stress-testing tools and load simulation methods
Module 5: Building Real-World Applications with MongoDB - Setting up a MongoDB cluster: standalone to replica set
- Configuring replica sets for high availability
- Sharding strategies for horizontal scaling
- Chunk splitting and balancing mechanisms
- Connecting applications via native drivers (Node.js, Python, Java)
- Query optimization using query planner and execution stats
- Aggregation pipeline stages: $match, $group, $lookup, $project
- Building real-time dashboards with change streams
- Full-text search with MongoDB Atlas Search
- Integrating geospatial queries for location-based apps
- Schema validation rules using JSON Schema
- Managing user roles and fine-grained access control
- Monitoring performance with MongoDB Ops Manager
- Backup and restore procedures using mongodump and mongorestore
- CI/CD pipelines with MongoDB schema migrations
Module 6: Mastering Apache Cassandra and Distributed Data - Ring architecture and token distribution fundamentals
- Partitioners: RandomPartitioner vs Murmur3Partitioner
- Consistency levels: ONE, QUORUM, ALL and their trade-offs
- Replication strategies: SimpleStrategy vs NetworkTopologyStrategy
- Designing effective partition keys for uniform distribution
- Clustering columns and query limitations
- Built-in compression and compaction strategies
- Handling tombstones and preventing read performance decay
- Setting up multi-datacenter replication
- Node repair and cleanup operations
- DataStax Enterprise vs open-source Cassandra
- CQL (Cassandra Query Language) best practices
- Lightweight transactions and Paxos consensus
- Bulk loading data with SSTableLoader
- Monitoring cluster health with nodetool and Prometheus integration
Module 7: Leveraging DynamoDB for High-Performance Systems - DynamoDB core concepts: tables, items, attributes
- Primary key design: partition key and sort key patterns
- Choosing between eventual and strong consistency reads
- Provisioned vs on-demand capacity modes
- Automated scaling with Application Auto Scaling
- Global Tables for multi-region replication
- Secondary indexes: Global Secondary Index (GSI) and Local Secondary Index (LSI)
- Write sharding to avoid hot partitions
- Time-to-live (TTL) for automatic data expiration
- Streams and triggers with AWS Lambda integration
- Point-in-time recovery and backup strategies
- Encryption at rest and in transit
- IAM policies for granular access control
- Monitoring with CloudWatch metrics and alarms
- Cost estimation and performance tuning with AWS Pricing Calculator
Module 8: Implementing Graph Databases with Neo4j - Nodes, relationships, properties, and labels explained
- Cypher query language syntax and structure
- Pattern matching for relationship traversal
- Indexing strategies for high-speed graph queries
- Designing social graphs and influence networks
- Recommendation engines using pathfinding algorithms
- Shortest path and weighted relationship queries
- Community detection and centrality measures
- Data import from CSV and relational sources
- Built-in graph algorithms library (PageRank, Louvain, etc.)
- Neo4j Bloom for visual data exploration
- Integrating Neo4j with REST APIs and web frameworks
- High availability with causal clustering
- Backup and restore procedures in production
- Security model: roles, privileges, and LDAP integration
Module 9: Caching and Session Management with Redis - In-memory data structure server architecture
- Data types: strings, hashes, lists, sets, sorted sets
- Caching strategies: write-through, write-behind, cache-aside
- Eviction policies: LRU, LFU, TTL-based
- Redis Sentinel for high availability
- Redis Cluster for horizontal scaling
- Persistent storage options: RDB and AOF
- Pub/sub messaging for real-time event distribution
- Rate limiting API calls using Redis counters
- Distributed locking with Redlock algorithm
- Session storage in stateless microservices
- Integrating Redis with Express.js, Django, Spring Boot
- Performance benchmarking with redis-benchmark
- Monitoring memory usage and connection pools
- Cost-optimisation in cloud environments
Module 10: Data Consistency and Transaction Patterns - Understanding eventual consistency in distributed systems
- Idempotency in write operations
- Handling partial failures during batch updates
- Two-phase commits vs choreography in NoSQL contexts
- Saga pattern for long-running transactions
- Compensating actions for rollback strategies
- Versioning data records to track changes
- Preconditions and conditional updates
- Distributed locking mechanisms across services
- Idempotent APIs to prevent duplicate processing
- Ensuring data integrity without ACID transactions
- Eventual consistency testing techniques
- Building audit trails and change logs
- Conflict resolution in multi-master setups
- CRDTs (Conflict-Free Replicated Data Types) introduction
Module 11: Security, Compliance, and Operational Integrity - Authentication methods: username/password, tokens, OAuth
- Role-Based Access Control (RBAC) configuration
- Field-level and document-level security policies
- Encryption at rest and in transit (TLS/SSL)
- Private network deployment with VPC and firewall rules
- Secrets management using HashiCorp Vault or AWS Secrets Manager
- Audit logging for compliance reporting
- GDPR data subject rights implementation
- PII redaction and anonymization pipelines
- Disaster recovery planning with geo-redundancy
- Point-in-time recovery configurations
- Backup frequency and retention policies
- Testing failover and recovery runbooks
- Compliance certifications: SOC 2, ISO 27001, HIPAA
- Vendor security questionnaires and third-party audits
Module 12: Performance Optimization at Scale - Profiling query execution time and I/O patterns
- Identifying and eliminating hot partitions
- Preventing full table scans with proper indexing
- Caching query results to reduce database load
- Batching writes and minimizing round trips
- Connection pooling and driver tuning
- Query batching vs pipelining trade-offs
- Data compression techniques to reduce bandwidth
- Network latency reduction with edge placement
- Cold start vs warm path optimisation
- Query plan analysis tools per database engine
- Utilising in-memory layers aggressively
- Read replicas for offloading analytics queries
- Pre-aggregation for dashboards and reports
- Latency budgeting across microservices
Module 13: Monitoring, Observability, and Alerting - Key metrics: read/write latency, error rates, throughput
- Setting up Prometheus and Grafana dashboards
- Logging structured data with OpenTelemetry
- Distributed tracing across microservices
- Integrating with Elasticsearch and Kibana
- Health checks and readiness probes for orchestration
- Custom alert thresholds based on business SLAs
- Prometheus Alertmanager configuration
- Latency heatmaps and percentile tracking (p95, p99)
- Tracking replication lag and node sync status
- Monitoring disk usage and memory pressure
- Automated incident response workflows
- Uptime dashboards for stakeholder reporting
- Correlating database performance with application logs
- Incident post-mortem templates and RCA processes
Module 14: Migration Strategies from Relational to NoSQL - Assessment checklist for migration feasibility
- Identifying candidate tables for migration
- Hybrid approach: dual writes during transition
- Data consistency validation during cutover
- Backfilling historical data in batch jobs
- Testing read and write parity across systems
- MongoDB Connector for BI to maintain SQL access
- Change Data Capture (CDC) with Debezium
- Blackout window planning and rollback strategy
- Performance benchmarking pre and post migration
- Team training and documentation handover
- Monitoring impact on dependent services
- Handling schema differences and data type conversions
- Legacy reporting coexistence strategies
- Post-migration optimisation review cycle
Module 15: Building Scalable APIs and Microservices - Designing stateless services with NoSQL backends
- Request rate limiting with distributed counters
- Idempotent API design for reliability
- GraphQL resolvers backed by NoSQL queries
- Aggregating data from multiple NoSQL sources
- Pagination strategies for large result sets
- Filtering, sorting, and searchable APIs
- ETag and cache-control headers for client caching
- Webhook delivery with retry guarantees
- Background job processing with queues
- Handling fan-out operations in event-driven systems
- Securing endpoints with JWT and scopes
- Rate limiting per user or tenant
- Multi-tenancy patterns in shared databases
- API versioning and backward compatibility
Module 16: Real-World Project: E-Commerce Platform at Scale - Requirements gathering for high-traffic e-commerce
- User profile storage in document database
- Shopping cart persistence with Redis
- Product catalog with faceted search in MongoDB
- Inventory management with DynamoDB atomic counters
- Order processing with eventual consistency
- Customer recommendations powered by Neo4j
- Session management across regions
- Real-time inventory updates with change streams
- Analytics pipeline with time-series data
- Payment state tracking with event sourcing
- Handling returns and refunds in distributed context
- Search autocomplete with Redis Sorted Sets
- Admin dashboard with aggregated metrics
- Disaster recovery scenario testing
Module 17: Real-World Project: IoT Data Pipeline - Ingesting millions of sensor events per hour
- Data ingestion with Kafka and NoSQL sinks
- Time-series data modeling in Cassandra
- Downsampling strategies for cold data
- Device registry with document metadata
- Status tracking with TTL-based expiration
- Real-time alerting with stream processing
- Geospatial queries for device location history
- Data retention policies by regulatory zone
- Edge computing data buffering with local Redis
- Batch export to data lake for ML training
- Dashboarding with live device counts and trends
- Device group management with tags and labels
- Firmware update tracking with event logs
- Security audit trail for device access
Module 18: Certification Preparation and Career Advancement - Review of core NoSQL principles and patterns
- Architecture decision simulation exercises
- Scenario-based problem solving for real systems
- Performance tuning case studies
- Security audit walkthroughs
- Migration planning templates
- Documentation best practices for engineering teams
- Presenting database choices to non-technical stakeholders
- Resume optimisation with NoSQL project highlights
- LinkedIn profile enhancement with certified skills
- Salary negotiation strategies with proven expertise
- Preparing for system design interviews
- Certification exam blueprint breakdown
- Final assessment and project submission
- Receiving your Certificate of Completion issued by The Art of Service
- Understanding data scaling challenges in modern web applications
- Limits of relational databases under high-velocity workloads
- When to use NoSQL vs when to stick with SQL
- Core principles: horizontal scaling, sharding, and eventual consistency
- The CAP theorem and its impact on database selection
- Trade-offs between availability, consistency, and partition tolerance
- Introduction to BASE model principles (Basically Available, Soft state, Eventual consistency)
- Data modeling differences: normalized vs denormalized design
- Use cases requiring real-time performance and global distribution
- Establishing scalability thresholds and key performance indicators
Module 2: Types of NoSQL Databases and Their Use Cases - Key-value stores: architecture, strengths, and ideal applications
- Comparing Redis, DynamoDB, and etcd for caching and session storage
- Document databases: hierarchical data representation
- Deep dive into JSON and BSON data formats
- When to choose MongoDB, Couchbase, or Firebase
- Column-family stores: vertical and horizontal scalability
- Apache Cassandra vs HBase: detailed comparison
- Time-series data handling with column-oriented designs
- Graph databases: managing complex relationships
- Neo4j vs JanusGraph for social networks and recommendation engines
- Wide-column benefits for analytics and large-scale ingestion
- Selecting the right type based on access patterns
- Hybrid NoSQL architectures in enterprise environments
- Multi-model databases: CouchDB, ArangoDB, and OrientDB
- Cost implications of each database type
Module 3: Data Modeling for Scalability and Flexibility - Designing flexible schemas for evolving requirements
- Embedding vs referencing: performance and consistency trade-offs
- Handling versioning in document structures
- Denormalization strategies without sacrificing maintainability
- Polyglot persistence: using multiple data stores in one system
- Schema evolution patterns in production environments
- Indexing strategies to avoid full collection scans
- Compound indexes and their impact on query performance
- TTL indexes for automatic data expiration
- Time-weighted data lifecycle management
- Handling many-to-many relationships in NoSQL
- Modeling hierarchical data with nested documents
- Avoiding anti-patterns: duplicate data, fan-out writes, excessive joins
- Data consistency boundaries and domain-driven design
- Event sourcing fundamentals with NoSQL integration
Module 4: Selecting and Evaluating NoSQL Technologies - Decision matrix: performance, durability, licensing, support
- Evaluating managed vs self-hosted solutions
- Cloud-native benefits with AWS DynamoDB, Google Cloud Firestore, Azure Cosmos DB
- Open-source maturity and community support assessment
- Vendor lock-in risks and mitigation techniques
- Cost comparison across cloud providers and open-source alternatives
- Latency SLAs and geo-replication capabilities
- Security features: encryption, authentication, access control
- Backup and disaster recovery readiness
- Monitoring and observability integration options
- Testing database failover and recovery procedures
- Compliance requirements: GDPR, HIPAA, SOC 2
- Evaluation checklist for enterprise adoption
- Prototyping and PoC best practices
- Stress-testing tools and load simulation methods
Module 5: Building Real-World Applications with MongoDB - Setting up a MongoDB cluster: standalone to replica set
- Configuring replica sets for high availability
- Sharding strategies for horizontal scaling
- Chunk splitting and balancing mechanisms
- Connecting applications via native drivers (Node.js, Python, Java)
- Query optimization using query planner and execution stats
- Aggregation pipeline stages: $match, $group, $lookup, $project
- Building real-time dashboards with change streams
- Full-text search with MongoDB Atlas Search
- Integrating geospatial queries for location-based apps
- Schema validation rules using JSON Schema
- Managing user roles and fine-grained access control
- Monitoring performance with MongoDB Ops Manager
- Backup and restore procedures using mongodump and mongorestore
- CI/CD pipelines with MongoDB schema migrations
Module 6: Mastering Apache Cassandra and Distributed Data - Ring architecture and token distribution fundamentals
- Partitioners: RandomPartitioner vs Murmur3Partitioner
- Consistency levels: ONE, QUORUM, ALL and their trade-offs
- Replication strategies: SimpleStrategy vs NetworkTopologyStrategy
- Designing effective partition keys for uniform distribution
- Clustering columns and query limitations
- Built-in compression and compaction strategies
- Handling tombstones and preventing read performance decay
- Setting up multi-datacenter replication
- Node repair and cleanup operations
- DataStax Enterprise vs open-source Cassandra
- CQL (Cassandra Query Language) best practices
- Lightweight transactions and Paxos consensus
- Bulk loading data with SSTableLoader
- Monitoring cluster health with nodetool and Prometheus integration
Module 7: Leveraging DynamoDB for High-Performance Systems - DynamoDB core concepts: tables, items, attributes
- Primary key design: partition key and sort key patterns
- Choosing between eventual and strong consistency reads
- Provisioned vs on-demand capacity modes
- Automated scaling with Application Auto Scaling
- Global Tables for multi-region replication
- Secondary indexes: Global Secondary Index (GSI) and Local Secondary Index (LSI)
- Write sharding to avoid hot partitions
- Time-to-live (TTL) for automatic data expiration
- Streams and triggers with AWS Lambda integration
- Point-in-time recovery and backup strategies
- Encryption at rest and in transit
- IAM policies for granular access control
- Monitoring with CloudWatch metrics and alarms
- Cost estimation and performance tuning with AWS Pricing Calculator
Module 8: Implementing Graph Databases with Neo4j - Nodes, relationships, properties, and labels explained
- Cypher query language syntax and structure
- Pattern matching for relationship traversal
- Indexing strategies for high-speed graph queries
- Designing social graphs and influence networks
- Recommendation engines using pathfinding algorithms
- Shortest path and weighted relationship queries
- Community detection and centrality measures
- Data import from CSV and relational sources
- Built-in graph algorithms library (PageRank, Louvain, etc.)
- Neo4j Bloom for visual data exploration
- Integrating Neo4j with REST APIs and web frameworks
- High availability with causal clustering
- Backup and restore procedures in production
- Security model: roles, privileges, and LDAP integration
Module 9: Caching and Session Management with Redis - In-memory data structure server architecture
- Data types: strings, hashes, lists, sets, sorted sets
- Caching strategies: write-through, write-behind, cache-aside
- Eviction policies: LRU, LFU, TTL-based
- Redis Sentinel for high availability
- Redis Cluster for horizontal scaling
- Persistent storage options: RDB and AOF
- Pub/sub messaging for real-time event distribution
- Rate limiting API calls using Redis counters
- Distributed locking with Redlock algorithm
- Session storage in stateless microservices
- Integrating Redis with Express.js, Django, Spring Boot
- Performance benchmarking with redis-benchmark
- Monitoring memory usage and connection pools
- Cost-optimisation in cloud environments
Module 10: Data Consistency and Transaction Patterns - Understanding eventual consistency in distributed systems
- Idempotency in write operations
- Handling partial failures during batch updates
- Two-phase commits vs choreography in NoSQL contexts
- Saga pattern for long-running transactions
- Compensating actions for rollback strategies
- Versioning data records to track changes
- Preconditions and conditional updates
- Distributed locking mechanisms across services
- Idempotent APIs to prevent duplicate processing
- Ensuring data integrity without ACID transactions
- Eventual consistency testing techniques
- Building audit trails and change logs
- Conflict resolution in multi-master setups
- CRDTs (Conflict-Free Replicated Data Types) introduction
Module 11: Security, Compliance, and Operational Integrity - Authentication methods: username/password, tokens, OAuth
- Role-Based Access Control (RBAC) configuration
- Field-level and document-level security policies
- Encryption at rest and in transit (TLS/SSL)
- Private network deployment with VPC and firewall rules
- Secrets management using HashiCorp Vault or AWS Secrets Manager
- Audit logging for compliance reporting
- GDPR data subject rights implementation
- PII redaction and anonymization pipelines
- Disaster recovery planning with geo-redundancy
- Point-in-time recovery configurations
- Backup frequency and retention policies
- Testing failover and recovery runbooks
- Compliance certifications: SOC 2, ISO 27001, HIPAA
- Vendor security questionnaires and third-party audits
Module 12: Performance Optimization at Scale - Profiling query execution time and I/O patterns
- Identifying and eliminating hot partitions
- Preventing full table scans with proper indexing
- Caching query results to reduce database load
- Batching writes and minimizing round trips
- Connection pooling and driver tuning
- Query batching vs pipelining trade-offs
- Data compression techniques to reduce bandwidth
- Network latency reduction with edge placement
- Cold start vs warm path optimisation
- Query plan analysis tools per database engine
- Utilising in-memory layers aggressively
- Read replicas for offloading analytics queries
- Pre-aggregation for dashboards and reports
- Latency budgeting across microservices
Module 13: Monitoring, Observability, and Alerting - Key metrics: read/write latency, error rates, throughput
- Setting up Prometheus and Grafana dashboards
- Logging structured data with OpenTelemetry
- Distributed tracing across microservices
- Integrating with Elasticsearch and Kibana
- Health checks and readiness probes for orchestration
- Custom alert thresholds based on business SLAs
- Prometheus Alertmanager configuration
- Latency heatmaps and percentile tracking (p95, p99)
- Tracking replication lag and node sync status
- Monitoring disk usage and memory pressure
- Automated incident response workflows
- Uptime dashboards for stakeholder reporting
- Correlating database performance with application logs
- Incident post-mortem templates and RCA processes
Module 14: Migration Strategies from Relational to NoSQL - Assessment checklist for migration feasibility
- Identifying candidate tables for migration
- Hybrid approach: dual writes during transition
- Data consistency validation during cutover
- Backfilling historical data in batch jobs
- Testing read and write parity across systems
- MongoDB Connector for BI to maintain SQL access
- Change Data Capture (CDC) with Debezium
- Blackout window planning and rollback strategy
- Performance benchmarking pre and post migration
- Team training and documentation handover
- Monitoring impact on dependent services
- Handling schema differences and data type conversions
- Legacy reporting coexistence strategies
- Post-migration optimisation review cycle
Module 15: Building Scalable APIs and Microservices - Designing stateless services with NoSQL backends
- Request rate limiting with distributed counters
- Idempotent API design for reliability
- GraphQL resolvers backed by NoSQL queries
- Aggregating data from multiple NoSQL sources
- Pagination strategies for large result sets
- Filtering, sorting, and searchable APIs
- ETag and cache-control headers for client caching
- Webhook delivery with retry guarantees
- Background job processing with queues
- Handling fan-out operations in event-driven systems
- Securing endpoints with JWT and scopes
- Rate limiting per user or tenant
- Multi-tenancy patterns in shared databases
- API versioning and backward compatibility
Module 16: Real-World Project: E-Commerce Platform at Scale - Requirements gathering for high-traffic e-commerce
- User profile storage in document database
- Shopping cart persistence with Redis
- Product catalog with faceted search in MongoDB
- Inventory management with DynamoDB atomic counters
- Order processing with eventual consistency
- Customer recommendations powered by Neo4j
- Session management across regions
- Real-time inventory updates with change streams
- Analytics pipeline with time-series data
- Payment state tracking with event sourcing
- Handling returns and refunds in distributed context
- Search autocomplete with Redis Sorted Sets
- Admin dashboard with aggregated metrics
- Disaster recovery scenario testing
Module 17: Real-World Project: IoT Data Pipeline - Ingesting millions of sensor events per hour
- Data ingestion with Kafka and NoSQL sinks
- Time-series data modeling in Cassandra
- Downsampling strategies for cold data
- Device registry with document metadata
- Status tracking with TTL-based expiration
- Real-time alerting with stream processing
- Geospatial queries for device location history
- Data retention policies by regulatory zone
- Edge computing data buffering with local Redis
- Batch export to data lake for ML training
- Dashboarding with live device counts and trends
- Device group management with tags and labels
- Firmware update tracking with event logs
- Security audit trail for device access
Module 18: Certification Preparation and Career Advancement - Review of core NoSQL principles and patterns
- Architecture decision simulation exercises
- Scenario-based problem solving for real systems
- Performance tuning case studies
- Security audit walkthroughs
- Migration planning templates
- Documentation best practices for engineering teams
- Presenting database choices to non-technical stakeholders
- Resume optimisation with NoSQL project highlights
- LinkedIn profile enhancement with certified skills
- Salary negotiation strategies with proven expertise
- Preparing for system design interviews
- Certification exam blueprint breakdown
- Final assessment and project submission
- Receiving your Certificate of Completion issued by The Art of Service
- Designing flexible schemas for evolving requirements
- Embedding vs referencing: performance and consistency trade-offs
- Handling versioning in document structures
- Denormalization strategies without sacrificing maintainability
- Polyglot persistence: using multiple data stores in one system
- Schema evolution patterns in production environments
- Indexing strategies to avoid full collection scans
- Compound indexes and their impact on query performance
- TTL indexes for automatic data expiration
- Time-weighted data lifecycle management
- Handling many-to-many relationships in NoSQL
- Modeling hierarchical data with nested documents
- Avoiding anti-patterns: duplicate data, fan-out writes, excessive joins
- Data consistency boundaries and domain-driven design
- Event sourcing fundamentals with NoSQL integration
Module 4: Selecting and Evaluating NoSQL Technologies - Decision matrix: performance, durability, licensing, support
- Evaluating managed vs self-hosted solutions
- Cloud-native benefits with AWS DynamoDB, Google Cloud Firestore, Azure Cosmos DB
- Open-source maturity and community support assessment
- Vendor lock-in risks and mitigation techniques
- Cost comparison across cloud providers and open-source alternatives
- Latency SLAs and geo-replication capabilities
- Security features: encryption, authentication, access control
- Backup and disaster recovery readiness
- Monitoring and observability integration options
- Testing database failover and recovery procedures
- Compliance requirements: GDPR, HIPAA, SOC 2
- Evaluation checklist for enterprise adoption
- Prototyping and PoC best practices
- Stress-testing tools and load simulation methods
Module 5: Building Real-World Applications with MongoDB - Setting up a MongoDB cluster: standalone to replica set
- Configuring replica sets for high availability
- Sharding strategies for horizontal scaling
- Chunk splitting and balancing mechanisms
- Connecting applications via native drivers (Node.js, Python, Java)
- Query optimization using query planner and execution stats
- Aggregation pipeline stages: $match, $group, $lookup, $project
- Building real-time dashboards with change streams
- Full-text search with MongoDB Atlas Search
- Integrating geospatial queries for location-based apps
- Schema validation rules using JSON Schema
- Managing user roles and fine-grained access control
- Monitoring performance with MongoDB Ops Manager
- Backup and restore procedures using mongodump and mongorestore
- CI/CD pipelines with MongoDB schema migrations
Module 6: Mastering Apache Cassandra and Distributed Data - Ring architecture and token distribution fundamentals
- Partitioners: RandomPartitioner vs Murmur3Partitioner
- Consistency levels: ONE, QUORUM, ALL and their trade-offs
- Replication strategies: SimpleStrategy vs NetworkTopologyStrategy
- Designing effective partition keys for uniform distribution
- Clustering columns and query limitations
- Built-in compression and compaction strategies
- Handling tombstones and preventing read performance decay
- Setting up multi-datacenter replication
- Node repair and cleanup operations
- DataStax Enterprise vs open-source Cassandra
- CQL (Cassandra Query Language) best practices
- Lightweight transactions and Paxos consensus
- Bulk loading data with SSTableLoader
- Monitoring cluster health with nodetool and Prometheus integration
Module 7: Leveraging DynamoDB for High-Performance Systems - DynamoDB core concepts: tables, items, attributes
- Primary key design: partition key and sort key patterns
- Choosing between eventual and strong consistency reads
- Provisioned vs on-demand capacity modes
- Automated scaling with Application Auto Scaling
- Global Tables for multi-region replication
- Secondary indexes: Global Secondary Index (GSI) and Local Secondary Index (LSI)
- Write sharding to avoid hot partitions
- Time-to-live (TTL) for automatic data expiration
- Streams and triggers with AWS Lambda integration
- Point-in-time recovery and backup strategies
- Encryption at rest and in transit
- IAM policies for granular access control
- Monitoring with CloudWatch metrics and alarms
- Cost estimation and performance tuning with AWS Pricing Calculator
Module 8: Implementing Graph Databases with Neo4j - Nodes, relationships, properties, and labels explained
- Cypher query language syntax and structure
- Pattern matching for relationship traversal
- Indexing strategies for high-speed graph queries
- Designing social graphs and influence networks
- Recommendation engines using pathfinding algorithms
- Shortest path and weighted relationship queries
- Community detection and centrality measures
- Data import from CSV and relational sources
- Built-in graph algorithms library (PageRank, Louvain, etc.)
- Neo4j Bloom for visual data exploration
- Integrating Neo4j with REST APIs and web frameworks
- High availability with causal clustering
- Backup and restore procedures in production
- Security model: roles, privileges, and LDAP integration
Module 9: Caching and Session Management with Redis - In-memory data structure server architecture
- Data types: strings, hashes, lists, sets, sorted sets
- Caching strategies: write-through, write-behind, cache-aside
- Eviction policies: LRU, LFU, TTL-based
- Redis Sentinel for high availability
- Redis Cluster for horizontal scaling
- Persistent storage options: RDB and AOF
- Pub/sub messaging for real-time event distribution
- Rate limiting API calls using Redis counters
- Distributed locking with Redlock algorithm
- Session storage in stateless microservices
- Integrating Redis with Express.js, Django, Spring Boot
- Performance benchmarking with redis-benchmark
- Monitoring memory usage and connection pools
- Cost-optimisation in cloud environments
Module 10: Data Consistency and Transaction Patterns - Understanding eventual consistency in distributed systems
- Idempotency in write operations
- Handling partial failures during batch updates
- Two-phase commits vs choreography in NoSQL contexts
- Saga pattern for long-running transactions
- Compensating actions for rollback strategies
- Versioning data records to track changes
- Preconditions and conditional updates
- Distributed locking mechanisms across services
- Idempotent APIs to prevent duplicate processing
- Ensuring data integrity without ACID transactions
- Eventual consistency testing techniques
- Building audit trails and change logs
- Conflict resolution in multi-master setups
- CRDTs (Conflict-Free Replicated Data Types) introduction
Module 11: Security, Compliance, and Operational Integrity - Authentication methods: username/password, tokens, OAuth
- Role-Based Access Control (RBAC) configuration
- Field-level and document-level security policies
- Encryption at rest and in transit (TLS/SSL)
- Private network deployment with VPC and firewall rules
- Secrets management using HashiCorp Vault or AWS Secrets Manager
- Audit logging for compliance reporting
- GDPR data subject rights implementation
- PII redaction and anonymization pipelines
- Disaster recovery planning with geo-redundancy
- Point-in-time recovery configurations
- Backup frequency and retention policies
- Testing failover and recovery runbooks
- Compliance certifications: SOC 2, ISO 27001, HIPAA
- Vendor security questionnaires and third-party audits
Module 12: Performance Optimization at Scale - Profiling query execution time and I/O patterns
- Identifying and eliminating hot partitions
- Preventing full table scans with proper indexing
- Caching query results to reduce database load
- Batching writes and minimizing round trips
- Connection pooling and driver tuning
- Query batching vs pipelining trade-offs
- Data compression techniques to reduce bandwidth
- Network latency reduction with edge placement
- Cold start vs warm path optimisation
- Query plan analysis tools per database engine
- Utilising in-memory layers aggressively
- Read replicas for offloading analytics queries
- Pre-aggregation for dashboards and reports
- Latency budgeting across microservices
Module 13: Monitoring, Observability, and Alerting - Key metrics: read/write latency, error rates, throughput
- Setting up Prometheus and Grafana dashboards
- Logging structured data with OpenTelemetry
- Distributed tracing across microservices
- Integrating with Elasticsearch and Kibana
- Health checks and readiness probes for orchestration
- Custom alert thresholds based on business SLAs
- Prometheus Alertmanager configuration
- Latency heatmaps and percentile tracking (p95, p99)
- Tracking replication lag and node sync status
- Monitoring disk usage and memory pressure
- Automated incident response workflows
- Uptime dashboards for stakeholder reporting
- Correlating database performance with application logs
- Incident post-mortem templates and RCA processes
Module 14: Migration Strategies from Relational to NoSQL - Assessment checklist for migration feasibility
- Identifying candidate tables for migration
- Hybrid approach: dual writes during transition
- Data consistency validation during cutover
- Backfilling historical data in batch jobs
- Testing read and write parity across systems
- MongoDB Connector for BI to maintain SQL access
- Change Data Capture (CDC) with Debezium
- Blackout window planning and rollback strategy
- Performance benchmarking pre and post migration
- Team training and documentation handover
- Monitoring impact on dependent services
- Handling schema differences and data type conversions
- Legacy reporting coexistence strategies
- Post-migration optimisation review cycle
Module 15: Building Scalable APIs and Microservices - Designing stateless services with NoSQL backends
- Request rate limiting with distributed counters
- Idempotent API design for reliability
- GraphQL resolvers backed by NoSQL queries
- Aggregating data from multiple NoSQL sources
- Pagination strategies for large result sets
- Filtering, sorting, and searchable APIs
- ETag and cache-control headers for client caching
- Webhook delivery with retry guarantees
- Background job processing with queues
- Handling fan-out operations in event-driven systems
- Securing endpoints with JWT and scopes
- Rate limiting per user or tenant
- Multi-tenancy patterns in shared databases
- API versioning and backward compatibility
Module 16: Real-World Project: E-Commerce Platform at Scale - Requirements gathering for high-traffic e-commerce
- User profile storage in document database
- Shopping cart persistence with Redis
- Product catalog with faceted search in MongoDB
- Inventory management with DynamoDB atomic counters
- Order processing with eventual consistency
- Customer recommendations powered by Neo4j
- Session management across regions
- Real-time inventory updates with change streams
- Analytics pipeline with time-series data
- Payment state tracking with event sourcing
- Handling returns and refunds in distributed context
- Search autocomplete with Redis Sorted Sets
- Admin dashboard with aggregated metrics
- Disaster recovery scenario testing
Module 17: Real-World Project: IoT Data Pipeline - Ingesting millions of sensor events per hour
- Data ingestion with Kafka and NoSQL sinks
- Time-series data modeling in Cassandra
- Downsampling strategies for cold data
- Device registry with document metadata
- Status tracking with TTL-based expiration
- Real-time alerting with stream processing
- Geospatial queries for device location history
- Data retention policies by regulatory zone
- Edge computing data buffering with local Redis
- Batch export to data lake for ML training
- Dashboarding with live device counts and trends
- Device group management with tags and labels
- Firmware update tracking with event logs
- Security audit trail for device access
Module 18: Certification Preparation and Career Advancement - Review of core NoSQL principles and patterns
- Architecture decision simulation exercises
- Scenario-based problem solving for real systems
- Performance tuning case studies
- Security audit walkthroughs
- Migration planning templates
- Documentation best practices for engineering teams
- Presenting database choices to non-technical stakeholders
- Resume optimisation with NoSQL project highlights
- LinkedIn profile enhancement with certified skills
- Salary negotiation strategies with proven expertise
- Preparing for system design interviews
- Certification exam blueprint breakdown
- Final assessment and project submission
- Receiving your Certificate of Completion issued by The Art of Service
- Setting up a MongoDB cluster: standalone to replica set
- Configuring replica sets for high availability
- Sharding strategies for horizontal scaling
- Chunk splitting and balancing mechanisms
- Connecting applications via native drivers (Node.js, Python, Java)
- Query optimization using query planner and execution stats
- Aggregation pipeline stages: $match, $group, $lookup, $project
- Building real-time dashboards with change streams
- Full-text search with MongoDB Atlas Search
- Integrating geospatial queries for location-based apps
- Schema validation rules using JSON Schema
- Managing user roles and fine-grained access control
- Monitoring performance with MongoDB Ops Manager
- Backup and restore procedures using mongodump and mongorestore
- CI/CD pipelines with MongoDB schema migrations
Module 6: Mastering Apache Cassandra and Distributed Data - Ring architecture and token distribution fundamentals
- Partitioners: RandomPartitioner vs Murmur3Partitioner
- Consistency levels: ONE, QUORUM, ALL and their trade-offs
- Replication strategies: SimpleStrategy vs NetworkTopologyStrategy
- Designing effective partition keys for uniform distribution
- Clustering columns and query limitations
- Built-in compression and compaction strategies
- Handling tombstones and preventing read performance decay
- Setting up multi-datacenter replication
- Node repair and cleanup operations
- DataStax Enterprise vs open-source Cassandra
- CQL (Cassandra Query Language) best practices
- Lightweight transactions and Paxos consensus
- Bulk loading data with SSTableLoader
- Monitoring cluster health with nodetool and Prometheus integration
Module 7: Leveraging DynamoDB for High-Performance Systems - DynamoDB core concepts: tables, items, attributes
- Primary key design: partition key and sort key patterns
- Choosing between eventual and strong consistency reads
- Provisioned vs on-demand capacity modes
- Automated scaling with Application Auto Scaling
- Global Tables for multi-region replication
- Secondary indexes: Global Secondary Index (GSI) and Local Secondary Index (LSI)
- Write sharding to avoid hot partitions
- Time-to-live (TTL) for automatic data expiration
- Streams and triggers with AWS Lambda integration
- Point-in-time recovery and backup strategies
- Encryption at rest and in transit
- IAM policies for granular access control
- Monitoring with CloudWatch metrics and alarms
- Cost estimation and performance tuning with AWS Pricing Calculator
Module 8: Implementing Graph Databases with Neo4j - Nodes, relationships, properties, and labels explained
- Cypher query language syntax and structure
- Pattern matching for relationship traversal
- Indexing strategies for high-speed graph queries
- Designing social graphs and influence networks
- Recommendation engines using pathfinding algorithms
- Shortest path and weighted relationship queries
- Community detection and centrality measures
- Data import from CSV and relational sources
- Built-in graph algorithms library (PageRank, Louvain, etc.)
- Neo4j Bloom for visual data exploration
- Integrating Neo4j with REST APIs and web frameworks
- High availability with causal clustering
- Backup and restore procedures in production
- Security model: roles, privileges, and LDAP integration
Module 9: Caching and Session Management with Redis - In-memory data structure server architecture
- Data types: strings, hashes, lists, sets, sorted sets
- Caching strategies: write-through, write-behind, cache-aside
- Eviction policies: LRU, LFU, TTL-based
- Redis Sentinel for high availability
- Redis Cluster for horizontal scaling
- Persistent storage options: RDB and AOF
- Pub/sub messaging for real-time event distribution
- Rate limiting API calls using Redis counters
- Distributed locking with Redlock algorithm
- Session storage in stateless microservices
- Integrating Redis with Express.js, Django, Spring Boot
- Performance benchmarking with redis-benchmark
- Monitoring memory usage and connection pools
- Cost-optimisation in cloud environments
Module 10: Data Consistency and Transaction Patterns - Understanding eventual consistency in distributed systems
- Idempotency in write operations
- Handling partial failures during batch updates
- Two-phase commits vs choreography in NoSQL contexts
- Saga pattern for long-running transactions
- Compensating actions for rollback strategies
- Versioning data records to track changes
- Preconditions and conditional updates
- Distributed locking mechanisms across services
- Idempotent APIs to prevent duplicate processing
- Ensuring data integrity without ACID transactions
- Eventual consistency testing techniques
- Building audit trails and change logs
- Conflict resolution in multi-master setups
- CRDTs (Conflict-Free Replicated Data Types) introduction
Module 11: Security, Compliance, and Operational Integrity - Authentication methods: username/password, tokens, OAuth
- Role-Based Access Control (RBAC) configuration
- Field-level and document-level security policies
- Encryption at rest and in transit (TLS/SSL)
- Private network deployment with VPC and firewall rules
- Secrets management using HashiCorp Vault or AWS Secrets Manager
- Audit logging for compliance reporting
- GDPR data subject rights implementation
- PII redaction and anonymization pipelines
- Disaster recovery planning with geo-redundancy
- Point-in-time recovery configurations
- Backup frequency and retention policies
- Testing failover and recovery runbooks
- Compliance certifications: SOC 2, ISO 27001, HIPAA
- Vendor security questionnaires and third-party audits
Module 12: Performance Optimization at Scale - Profiling query execution time and I/O patterns
- Identifying and eliminating hot partitions
- Preventing full table scans with proper indexing
- Caching query results to reduce database load
- Batching writes and minimizing round trips
- Connection pooling and driver tuning
- Query batching vs pipelining trade-offs
- Data compression techniques to reduce bandwidth
- Network latency reduction with edge placement
- Cold start vs warm path optimisation
- Query plan analysis tools per database engine
- Utilising in-memory layers aggressively
- Read replicas for offloading analytics queries
- Pre-aggregation for dashboards and reports
- Latency budgeting across microservices
Module 13: Monitoring, Observability, and Alerting - Key metrics: read/write latency, error rates, throughput
- Setting up Prometheus and Grafana dashboards
- Logging structured data with OpenTelemetry
- Distributed tracing across microservices
- Integrating with Elasticsearch and Kibana
- Health checks and readiness probes for orchestration
- Custom alert thresholds based on business SLAs
- Prometheus Alertmanager configuration
- Latency heatmaps and percentile tracking (p95, p99)
- Tracking replication lag and node sync status
- Monitoring disk usage and memory pressure
- Automated incident response workflows
- Uptime dashboards for stakeholder reporting
- Correlating database performance with application logs
- Incident post-mortem templates and RCA processes
Module 14: Migration Strategies from Relational to NoSQL - Assessment checklist for migration feasibility
- Identifying candidate tables for migration
- Hybrid approach: dual writes during transition
- Data consistency validation during cutover
- Backfilling historical data in batch jobs
- Testing read and write parity across systems
- MongoDB Connector for BI to maintain SQL access
- Change Data Capture (CDC) with Debezium
- Blackout window planning and rollback strategy
- Performance benchmarking pre and post migration
- Team training and documentation handover
- Monitoring impact on dependent services
- Handling schema differences and data type conversions
- Legacy reporting coexistence strategies
- Post-migration optimisation review cycle
Module 15: Building Scalable APIs and Microservices - Designing stateless services with NoSQL backends
- Request rate limiting with distributed counters
- Idempotent API design for reliability
- GraphQL resolvers backed by NoSQL queries
- Aggregating data from multiple NoSQL sources
- Pagination strategies for large result sets
- Filtering, sorting, and searchable APIs
- ETag and cache-control headers for client caching
- Webhook delivery with retry guarantees
- Background job processing with queues
- Handling fan-out operations in event-driven systems
- Securing endpoints with JWT and scopes
- Rate limiting per user or tenant
- Multi-tenancy patterns in shared databases
- API versioning and backward compatibility
Module 16: Real-World Project: E-Commerce Platform at Scale - Requirements gathering for high-traffic e-commerce
- User profile storage in document database
- Shopping cart persistence with Redis
- Product catalog with faceted search in MongoDB
- Inventory management with DynamoDB atomic counters
- Order processing with eventual consistency
- Customer recommendations powered by Neo4j
- Session management across regions
- Real-time inventory updates with change streams
- Analytics pipeline with time-series data
- Payment state tracking with event sourcing
- Handling returns and refunds in distributed context
- Search autocomplete with Redis Sorted Sets
- Admin dashboard with aggregated metrics
- Disaster recovery scenario testing
Module 17: Real-World Project: IoT Data Pipeline - Ingesting millions of sensor events per hour
- Data ingestion with Kafka and NoSQL sinks
- Time-series data modeling in Cassandra
- Downsampling strategies for cold data
- Device registry with document metadata
- Status tracking with TTL-based expiration
- Real-time alerting with stream processing
- Geospatial queries for device location history
- Data retention policies by regulatory zone
- Edge computing data buffering with local Redis
- Batch export to data lake for ML training
- Dashboarding with live device counts and trends
- Device group management with tags and labels
- Firmware update tracking with event logs
- Security audit trail for device access
Module 18: Certification Preparation and Career Advancement - Review of core NoSQL principles and patterns
- Architecture decision simulation exercises
- Scenario-based problem solving for real systems
- Performance tuning case studies
- Security audit walkthroughs
- Migration planning templates
- Documentation best practices for engineering teams
- Presenting database choices to non-technical stakeholders
- Resume optimisation with NoSQL project highlights
- LinkedIn profile enhancement with certified skills
- Salary negotiation strategies with proven expertise
- Preparing for system design interviews
- Certification exam blueprint breakdown
- Final assessment and project submission
- Receiving your Certificate of Completion issued by The Art of Service
- DynamoDB core concepts: tables, items, attributes
- Primary key design: partition key and sort key patterns
- Choosing between eventual and strong consistency reads
- Provisioned vs on-demand capacity modes
- Automated scaling with Application Auto Scaling
- Global Tables for multi-region replication
- Secondary indexes: Global Secondary Index (GSI) and Local Secondary Index (LSI)
- Write sharding to avoid hot partitions
- Time-to-live (TTL) for automatic data expiration
- Streams and triggers with AWS Lambda integration
- Point-in-time recovery and backup strategies
- Encryption at rest and in transit
- IAM policies for granular access control
- Monitoring with CloudWatch metrics and alarms
- Cost estimation and performance tuning with AWS Pricing Calculator
Module 8: Implementing Graph Databases with Neo4j - Nodes, relationships, properties, and labels explained
- Cypher query language syntax and structure
- Pattern matching for relationship traversal
- Indexing strategies for high-speed graph queries
- Designing social graphs and influence networks
- Recommendation engines using pathfinding algorithms
- Shortest path and weighted relationship queries
- Community detection and centrality measures
- Data import from CSV and relational sources
- Built-in graph algorithms library (PageRank, Louvain, etc.)
- Neo4j Bloom for visual data exploration
- Integrating Neo4j with REST APIs and web frameworks
- High availability with causal clustering
- Backup and restore procedures in production
- Security model: roles, privileges, and LDAP integration
Module 9: Caching and Session Management with Redis - In-memory data structure server architecture
- Data types: strings, hashes, lists, sets, sorted sets
- Caching strategies: write-through, write-behind, cache-aside
- Eviction policies: LRU, LFU, TTL-based
- Redis Sentinel for high availability
- Redis Cluster for horizontal scaling
- Persistent storage options: RDB and AOF
- Pub/sub messaging for real-time event distribution
- Rate limiting API calls using Redis counters
- Distributed locking with Redlock algorithm
- Session storage in stateless microservices
- Integrating Redis with Express.js, Django, Spring Boot
- Performance benchmarking with redis-benchmark
- Monitoring memory usage and connection pools
- Cost-optimisation in cloud environments
Module 10: Data Consistency and Transaction Patterns - Understanding eventual consistency in distributed systems
- Idempotency in write operations
- Handling partial failures during batch updates
- Two-phase commits vs choreography in NoSQL contexts
- Saga pattern for long-running transactions
- Compensating actions for rollback strategies
- Versioning data records to track changes
- Preconditions and conditional updates
- Distributed locking mechanisms across services
- Idempotent APIs to prevent duplicate processing
- Ensuring data integrity without ACID transactions
- Eventual consistency testing techniques
- Building audit trails and change logs
- Conflict resolution in multi-master setups
- CRDTs (Conflict-Free Replicated Data Types) introduction
Module 11: Security, Compliance, and Operational Integrity - Authentication methods: username/password, tokens, OAuth
- Role-Based Access Control (RBAC) configuration
- Field-level and document-level security policies
- Encryption at rest and in transit (TLS/SSL)
- Private network deployment with VPC and firewall rules
- Secrets management using HashiCorp Vault or AWS Secrets Manager
- Audit logging for compliance reporting
- GDPR data subject rights implementation
- PII redaction and anonymization pipelines
- Disaster recovery planning with geo-redundancy
- Point-in-time recovery configurations
- Backup frequency and retention policies
- Testing failover and recovery runbooks
- Compliance certifications: SOC 2, ISO 27001, HIPAA
- Vendor security questionnaires and third-party audits
Module 12: Performance Optimization at Scale - Profiling query execution time and I/O patterns
- Identifying and eliminating hot partitions
- Preventing full table scans with proper indexing
- Caching query results to reduce database load
- Batching writes and minimizing round trips
- Connection pooling and driver tuning
- Query batching vs pipelining trade-offs
- Data compression techniques to reduce bandwidth
- Network latency reduction with edge placement
- Cold start vs warm path optimisation
- Query plan analysis tools per database engine
- Utilising in-memory layers aggressively
- Read replicas for offloading analytics queries
- Pre-aggregation for dashboards and reports
- Latency budgeting across microservices
Module 13: Monitoring, Observability, and Alerting - Key metrics: read/write latency, error rates, throughput
- Setting up Prometheus and Grafana dashboards
- Logging structured data with OpenTelemetry
- Distributed tracing across microservices
- Integrating with Elasticsearch and Kibana
- Health checks and readiness probes for orchestration
- Custom alert thresholds based on business SLAs
- Prometheus Alertmanager configuration
- Latency heatmaps and percentile tracking (p95, p99)
- Tracking replication lag and node sync status
- Monitoring disk usage and memory pressure
- Automated incident response workflows
- Uptime dashboards for stakeholder reporting
- Correlating database performance with application logs
- Incident post-mortem templates and RCA processes
Module 14: Migration Strategies from Relational to NoSQL - Assessment checklist for migration feasibility
- Identifying candidate tables for migration
- Hybrid approach: dual writes during transition
- Data consistency validation during cutover
- Backfilling historical data in batch jobs
- Testing read and write parity across systems
- MongoDB Connector for BI to maintain SQL access
- Change Data Capture (CDC) with Debezium
- Blackout window planning and rollback strategy
- Performance benchmarking pre and post migration
- Team training and documentation handover
- Monitoring impact on dependent services
- Handling schema differences and data type conversions
- Legacy reporting coexistence strategies
- Post-migration optimisation review cycle
Module 15: Building Scalable APIs and Microservices - Designing stateless services with NoSQL backends
- Request rate limiting with distributed counters
- Idempotent API design for reliability
- GraphQL resolvers backed by NoSQL queries
- Aggregating data from multiple NoSQL sources
- Pagination strategies for large result sets
- Filtering, sorting, and searchable APIs
- ETag and cache-control headers for client caching
- Webhook delivery with retry guarantees
- Background job processing with queues
- Handling fan-out operations in event-driven systems
- Securing endpoints with JWT and scopes
- Rate limiting per user or tenant
- Multi-tenancy patterns in shared databases
- API versioning and backward compatibility
Module 16: Real-World Project: E-Commerce Platform at Scale - Requirements gathering for high-traffic e-commerce
- User profile storage in document database
- Shopping cart persistence with Redis
- Product catalog with faceted search in MongoDB
- Inventory management with DynamoDB atomic counters
- Order processing with eventual consistency
- Customer recommendations powered by Neo4j
- Session management across regions
- Real-time inventory updates with change streams
- Analytics pipeline with time-series data
- Payment state tracking with event sourcing
- Handling returns and refunds in distributed context
- Search autocomplete with Redis Sorted Sets
- Admin dashboard with aggregated metrics
- Disaster recovery scenario testing
Module 17: Real-World Project: IoT Data Pipeline - Ingesting millions of sensor events per hour
- Data ingestion with Kafka and NoSQL sinks
- Time-series data modeling in Cassandra
- Downsampling strategies for cold data
- Device registry with document metadata
- Status tracking with TTL-based expiration
- Real-time alerting with stream processing
- Geospatial queries for device location history
- Data retention policies by regulatory zone
- Edge computing data buffering with local Redis
- Batch export to data lake for ML training
- Dashboarding with live device counts and trends
- Device group management with tags and labels
- Firmware update tracking with event logs
- Security audit trail for device access
Module 18: Certification Preparation and Career Advancement - Review of core NoSQL principles and patterns
- Architecture decision simulation exercises
- Scenario-based problem solving for real systems
- Performance tuning case studies
- Security audit walkthroughs
- Migration planning templates
- Documentation best practices for engineering teams
- Presenting database choices to non-technical stakeholders
- Resume optimisation with NoSQL project highlights
- LinkedIn profile enhancement with certified skills
- Salary negotiation strategies with proven expertise
- Preparing for system design interviews
- Certification exam blueprint breakdown
- Final assessment and project submission
- Receiving your Certificate of Completion issued by The Art of Service
- In-memory data structure server architecture
- Data types: strings, hashes, lists, sets, sorted sets
- Caching strategies: write-through, write-behind, cache-aside
- Eviction policies: LRU, LFU, TTL-based
- Redis Sentinel for high availability
- Redis Cluster for horizontal scaling
- Persistent storage options: RDB and AOF
- Pub/sub messaging for real-time event distribution
- Rate limiting API calls using Redis counters
- Distributed locking with Redlock algorithm
- Session storage in stateless microservices
- Integrating Redis with Express.js, Django, Spring Boot
- Performance benchmarking with redis-benchmark
- Monitoring memory usage and connection pools
- Cost-optimisation in cloud environments
Module 10: Data Consistency and Transaction Patterns - Understanding eventual consistency in distributed systems
- Idempotency in write operations
- Handling partial failures during batch updates
- Two-phase commits vs choreography in NoSQL contexts
- Saga pattern for long-running transactions
- Compensating actions for rollback strategies
- Versioning data records to track changes
- Preconditions and conditional updates
- Distributed locking mechanisms across services
- Idempotent APIs to prevent duplicate processing
- Ensuring data integrity without ACID transactions
- Eventual consistency testing techniques
- Building audit trails and change logs
- Conflict resolution in multi-master setups
- CRDTs (Conflict-Free Replicated Data Types) introduction
Module 11: Security, Compliance, and Operational Integrity - Authentication methods: username/password, tokens, OAuth
- Role-Based Access Control (RBAC) configuration
- Field-level and document-level security policies
- Encryption at rest and in transit (TLS/SSL)
- Private network deployment with VPC and firewall rules
- Secrets management using HashiCorp Vault or AWS Secrets Manager
- Audit logging for compliance reporting
- GDPR data subject rights implementation
- PII redaction and anonymization pipelines
- Disaster recovery planning with geo-redundancy
- Point-in-time recovery configurations
- Backup frequency and retention policies
- Testing failover and recovery runbooks
- Compliance certifications: SOC 2, ISO 27001, HIPAA
- Vendor security questionnaires and third-party audits
Module 12: Performance Optimization at Scale - Profiling query execution time and I/O patterns
- Identifying and eliminating hot partitions
- Preventing full table scans with proper indexing
- Caching query results to reduce database load
- Batching writes and minimizing round trips
- Connection pooling and driver tuning
- Query batching vs pipelining trade-offs
- Data compression techniques to reduce bandwidth
- Network latency reduction with edge placement
- Cold start vs warm path optimisation
- Query plan analysis tools per database engine
- Utilising in-memory layers aggressively
- Read replicas for offloading analytics queries
- Pre-aggregation for dashboards and reports
- Latency budgeting across microservices
Module 13: Monitoring, Observability, and Alerting - Key metrics: read/write latency, error rates, throughput
- Setting up Prometheus and Grafana dashboards
- Logging structured data with OpenTelemetry
- Distributed tracing across microservices
- Integrating with Elasticsearch and Kibana
- Health checks and readiness probes for orchestration
- Custom alert thresholds based on business SLAs
- Prometheus Alertmanager configuration
- Latency heatmaps and percentile tracking (p95, p99)
- Tracking replication lag and node sync status
- Monitoring disk usage and memory pressure
- Automated incident response workflows
- Uptime dashboards for stakeholder reporting
- Correlating database performance with application logs
- Incident post-mortem templates and RCA processes
Module 14: Migration Strategies from Relational to NoSQL - Assessment checklist for migration feasibility
- Identifying candidate tables for migration
- Hybrid approach: dual writes during transition
- Data consistency validation during cutover
- Backfilling historical data in batch jobs
- Testing read and write parity across systems
- MongoDB Connector for BI to maintain SQL access
- Change Data Capture (CDC) with Debezium
- Blackout window planning and rollback strategy
- Performance benchmarking pre and post migration
- Team training and documentation handover
- Monitoring impact on dependent services
- Handling schema differences and data type conversions
- Legacy reporting coexistence strategies
- Post-migration optimisation review cycle
Module 15: Building Scalable APIs and Microservices - Designing stateless services with NoSQL backends
- Request rate limiting with distributed counters
- Idempotent API design for reliability
- GraphQL resolvers backed by NoSQL queries
- Aggregating data from multiple NoSQL sources
- Pagination strategies for large result sets
- Filtering, sorting, and searchable APIs
- ETag and cache-control headers for client caching
- Webhook delivery with retry guarantees
- Background job processing with queues
- Handling fan-out operations in event-driven systems
- Securing endpoints with JWT and scopes
- Rate limiting per user or tenant
- Multi-tenancy patterns in shared databases
- API versioning and backward compatibility
Module 16: Real-World Project: E-Commerce Platform at Scale - Requirements gathering for high-traffic e-commerce
- User profile storage in document database
- Shopping cart persistence with Redis
- Product catalog with faceted search in MongoDB
- Inventory management with DynamoDB atomic counters
- Order processing with eventual consistency
- Customer recommendations powered by Neo4j
- Session management across regions
- Real-time inventory updates with change streams
- Analytics pipeline with time-series data
- Payment state tracking with event sourcing
- Handling returns and refunds in distributed context
- Search autocomplete with Redis Sorted Sets
- Admin dashboard with aggregated metrics
- Disaster recovery scenario testing
Module 17: Real-World Project: IoT Data Pipeline - Ingesting millions of sensor events per hour
- Data ingestion with Kafka and NoSQL sinks
- Time-series data modeling in Cassandra
- Downsampling strategies for cold data
- Device registry with document metadata
- Status tracking with TTL-based expiration
- Real-time alerting with stream processing
- Geospatial queries for device location history
- Data retention policies by regulatory zone
- Edge computing data buffering with local Redis
- Batch export to data lake for ML training
- Dashboarding with live device counts and trends
- Device group management with tags and labels
- Firmware update tracking with event logs
- Security audit trail for device access
Module 18: Certification Preparation and Career Advancement - Review of core NoSQL principles and patterns
- Architecture decision simulation exercises
- Scenario-based problem solving for real systems
- Performance tuning case studies
- Security audit walkthroughs
- Migration planning templates
- Documentation best practices for engineering teams
- Presenting database choices to non-technical stakeholders
- Resume optimisation with NoSQL project highlights
- LinkedIn profile enhancement with certified skills
- Salary negotiation strategies with proven expertise
- Preparing for system design interviews
- Certification exam blueprint breakdown
- Final assessment and project submission
- Receiving your Certificate of Completion issued by The Art of Service
- Authentication methods: username/password, tokens, OAuth
- Role-Based Access Control (RBAC) configuration
- Field-level and document-level security policies
- Encryption at rest and in transit (TLS/SSL)
- Private network deployment with VPC and firewall rules
- Secrets management using HashiCorp Vault or AWS Secrets Manager
- Audit logging for compliance reporting
- GDPR data subject rights implementation
- PII redaction and anonymization pipelines
- Disaster recovery planning with geo-redundancy
- Point-in-time recovery configurations
- Backup frequency and retention policies
- Testing failover and recovery runbooks
- Compliance certifications: SOC 2, ISO 27001, HIPAA
- Vendor security questionnaires and third-party audits
Module 12: Performance Optimization at Scale - Profiling query execution time and I/O patterns
- Identifying and eliminating hot partitions
- Preventing full table scans with proper indexing
- Caching query results to reduce database load
- Batching writes and minimizing round trips
- Connection pooling and driver tuning
- Query batching vs pipelining trade-offs
- Data compression techniques to reduce bandwidth
- Network latency reduction with edge placement
- Cold start vs warm path optimisation
- Query plan analysis tools per database engine
- Utilising in-memory layers aggressively
- Read replicas for offloading analytics queries
- Pre-aggregation for dashboards and reports
- Latency budgeting across microservices
Module 13: Monitoring, Observability, and Alerting - Key metrics: read/write latency, error rates, throughput
- Setting up Prometheus and Grafana dashboards
- Logging structured data with OpenTelemetry
- Distributed tracing across microservices
- Integrating with Elasticsearch and Kibana
- Health checks and readiness probes for orchestration
- Custom alert thresholds based on business SLAs
- Prometheus Alertmanager configuration
- Latency heatmaps and percentile tracking (p95, p99)
- Tracking replication lag and node sync status
- Monitoring disk usage and memory pressure
- Automated incident response workflows
- Uptime dashboards for stakeholder reporting
- Correlating database performance with application logs
- Incident post-mortem templates and RCA processes
Module 14: Migration Strategies from Relational to NoSQL - Assessment checklist for migration feasibility
- Identifying candidate tables for migration
- Hybrid approach: dual writes during transition
- Data consistency validation during cutover
- Backfilling historical data in batch jobs
- Testing read and write parity across systems
- MongoDB Connector for BI to maintain SQL access
- Change Data Capture (CDC) with Debezium
- Blackout window planning and rollback strategy
- Performance benchmarking pre and post migration
- Team training and documentation handover
- Monitoring impact on dependent services
- Handling schema differences and data type conversions
- Legacy reporting coexistence strategies
- Post-migration optimisation review cycle
Module 15: Building Scalable APIs and Microservices - Designing stateless services with NoSQL backends
- Request rate limiting with distributed counters
- Idempotent API design for reliability
- GraphQL resolvers backed by NoSQL queries
- Aggregating data from multiple NoSQL sources
- Pagination strategies for large result sets
- Filtering, sorting, and searchable APIs
- ETag and cache-control headers for client caching
- Webhook delivery with retry guarantees
- Background job processing with queues
- Handling fan-out operations in event-driven systems
- Securing endpoints with JWT and scopes
- Rate limiting per user or tenant
- Multi-tenancy patterns in shared databases
- API versioning and backward compatibility
Module 16: Real-World Project: E-Commerce Platform at Scale - Requirements gathering for high-traffic e-commerce
- User profile storage in document database
- Shopping cart persistence with Redis
- Product catalog with faceted search in MongoDB
- Inventory management with DynamoDB atomic counters
- Order processing with eventual consistency
- Customer recommendations powered by Neo4j
- Session management across regions
- Real-time inventory updates with change streams
- Analytics pipeline with time-series data
- Payment state tracking with event sourcing
- Handling returns and refunds in distributed context
- Search autocomplete with Redis Sorted Sets
- Admin dashboard with aggregated metrics
- Disaster recovery scenario testing
Module 17: Real-World Project: IoT Data Pipeline - Ingesting millions of sensor events per hour
- Data ingestion with Kafka and NoSQL sinks
- Time-series data modeling in Cassandra
- Downsampling strategies for cold data
- Device registry with document metadata
- Status tracking with TTL-based expiration
- Real-time alerting with stream processing
- Geospatial queries for device location history
- Data retention policies by regulatory zone
- Edge computing data buffering with local Redis
- Batch export to data lake for ML training
- Dashboarding with live device counts and trends
- Device group management with tags and labels
- Firmware update tracking with event logs
- Security audit trail for device access
Module 18: Certification Preparation and Career Advancement - Review of core NoSQL principles and patterns
- Architecture decision simulation exercises
- Scenario-based problem solving for real systems
- Performance tuning case studies
- Security audit walkthroughs
- Migration planning templates
- Documentation best practices for engineering teams
- Presenting database choices to non-technical stakeholders
- Resume optimisation with NoSQL project highlights
- LinkedIn profile enhancement with certified skills
- Salary negotiation strategies with proven expertise
- Preparing for system design interviews
- Certification exam blueprint breakdown
- Final assessment and project submission
- Receiving your Certificate of Completion issued by The Art of Service
- Key metrics: read/write latency, error rates, throughput
- Setting up Prometheus and Grafana dashboards
- Logging structured data with OpenTelemetry
- Distributed tracing across microservices
- Integrating with Elasticsearch and Kibana
- Health checks and readiness probes for orchestration
- Custom alert thresholds based on business SLAs
- Prometheus Alertmanager configuration
- Latency heatmaps and percentile tracking (p95, p99)
- Tracking replication lag and node sync status
- Monitoring disk usage and memory pressure
- Automated incident response workflows
- Uptime dashboards for stakeholder reporting
- Correlating database performance with application logs
- Incident post-mortem templates and RCA processes
Module 14: Migration Strategies from Relational to NoSQL - Assessment checklist for migration feasibility
- Identifying candidate tables for migration
- Hybrid approach: dual writes during transition
- Data consistency validation during cutover
- Backfilling historical data in batch jobs
- Testing read and write parity across systems
- MongoDB Connector for BI to maintain SQL access
- Change Data Capture (CDC) with Debezium
- Blackout window planning and rollback strategy
- Performance benchmarking pre and post migration
- Team training and documentation handover
- Monitoring impact on dependent services
- Handling schema differences and data type conversions
- Legacy reporting coexistence strategies
- Post-migration optimisation review cycle
Module 15: Building Scalable APIs and Microservices - Designing stateless services with NoSQL backends
- Request rate limiting with distributed counters
- Idempotent API design for reliability
- GraphQL resolvers backed by NoSQL queries
- Aggregating data from multiple NoSQL sources
- Pagination strategies for large result sets
- Filtering, sorting, and searchable APIs
- ETag and cache-control headers for client caching
- Webhook delivery with retry guarantees
- Background job processing with queues
- Handling fan-out operations in event-driven systems
- Securing endpoints with JWT and scopes
- Rate limiting per user or tenant
- Multi-tenancy patterns in shared databases
- API versioning and backward compatibility
Module 16: Real-World Project: E-Commerce Platform at Scale - Requirements gathering for high-traffic e-commerce
- User profile storage in document database
- Shopping cart persistence with Redis
- Product catalog with faceted search in MongoDB
- Inventory management with DynamoDB atomic counters
- Order processing with eventual consistency
- Customer recommendations powered by Neo4j
- Session management across regions
- Real-time inventory updates with change streams
- Analytics pipeline with time-series data
- Payment state tracking with event sourcing
- Handling returns and refunds in distributed context
- Search autocomplete with Redis Sorted Sets
- Admin dashboard with aggregated metrics
- Disaster recovery scenario testing
Module 17: Real-World Project: IoT Data Pipeline - Ingesting millions of sensor events per hour
- Data ingestion with Kafka and NoSQL sinks
- Time-series data modeling in Cassandra
- Downsampling strategies for cold data
- Device registry with document metadata
- Status tracking with TTL-based expiration
- Real-time alerting with stream processing
- Geospatial queries for device location history
- Data retention policies by regulatory zone
- Edge computing data buffering with local Redis
- Batch export to data lake for ML training
- Dashboarding with live device counts and trends
- Device group management with tags and labels
- Firmware update tracking with event logs
- Security audit trail for device access
Module 18: Certification Preparation and Career Advancement - Review of core NoSQL principles and patterns
- Architecture decision simulation exercises
- Scenario-based problem solving for real systems
- Performance tuning case studies
- Security audit walkthroughs
- Migration planning templates
- Documentation best practices for engineering teams
- Presenting database choices to non-technical stakeholders
- Resume optimisation with NoSQL project highlights
- LinkedIn profile enhancement with certified skills
- Salary negotiation strategies with proven expertise
- Preparing for system design interviews
- Certification exam blueprint breakdown
- Final assessment and project submission
- Receiving your Certificate of Completion issued by The Art of Service
- Designing stateless services with NoSQL backends
- Request rate limiting with distributed counters
- Idempotent API design for reliability
- GraphQL resolvers backed by NoSQL queries
- Aggregating data from multiple NoSQL sources
- Pagination strategies for large result sets
- Filtering, sorting, and searchable APIs
- ETag and cache-control headers for client caching
- Webhook delivery with retry guarantees
- Background job processing with queues
- Handling fan-out operations in event-driven systems
- Securing endpoints with JWT and scopes
- Rate limiting per user or tenant
- Multi-tenancy patterns in shared databases
- API versioning and backward compatibility
Module 16: Real-World Project: E-Commerce Platform at Scale - Requirements gathering for high-traffic e-commerce
- User profile storage in document database
- Shopping cart persistence with Redis
- Product catalog with faceted search in MongoDB
- Inventory management with DynamoDB atomic counters
- Order processing with eventual consistency
- Customer recommendations powered by Neo4j
- Session management across regions
- Real-time inventory updates with change streams
- Analytics pipeline with time-series data
- Payment state tracking with event sourcing
- Handling returns and refunds in distributed context
- Search autocomplete with Redis Sorted Sets
- Admin dashboard with aggregated metrics
- Disaster recovery scenario testing
Module 17: Real-World Project: IoT Data Pipeline - Ingesting millions of sensor events per hour
- Data ingestion with Kafka and NoSQL sinks
- Time-series data modeling in Cassandra
- Downsampling strategies for cold data
- Device registry with document metadata
- Status tracking with TTL-based expiration
- Real-time alerting with stream processing
- Geospatial queries for device location history
- Data retention policies by regulatory zone
- Edge computing data buffering with local Redis
- Batch export to data lake for ML training
- Dashboarding with live device counts and trends
- Device group management with tags and labels
- Firmware update tracking with event logs
- Security audit trail for device access
Module 18: Certification Preparation and Career Advancement - Review of core NoSQL principles and patterns
- Architecture decision simulation exercises
- Scenario-based problem solving for real systems
- Performance tuning case studies
- Security audit walkthroughs
- Migration planning templates
- Documentation best practices for engineering teams
- Presenting database choices to non-technical stakeholders
- Resume optimisation with NoSQL project highlights
- LinkedIn profile enhancement with certified skills
- Salary negotiation strategies with proven expertise
- Preparing for system design interviews
- Certification exam blueprint breakdown
- Final assessment and project submission
- Receiving your Certificate of Completion issued by The Art of Service
- Ingesting millions of sensor events per hour
- Data ingestion with Kafka and NoSQL sinks
- Time-series data modeling in Cassandra
- Downsampling strategies for cold data
- Device registry with document metadata
- Status tracking with TTL-based expiration
- Real-time alerting with stream processing
- Geospatial queries for device location history
- Data retention policies by regulatory zone
- Edge computing data buffering with local Redis
- Batch export to data lake for ML training
- Dashboarding with live device counts and trends
- Device group management with tags and labels
- Firmware update tracking with event logs
- Security audit trail for device access