Mastering Oracle Exadata for High-Performance Database Management
You’re under pressure. Databases are slowing down during peak transactions. Management is asking for faster response times, lower latency, and greater scalability, but you’re stuck balancing performance, cost, and reliability in a stack that’s only getting more complex. Every month you delay optimising your Exadata environment, you lose valuable time, revenue, and opportunities to differentiate yourself as a strategic asset within your organisation. But what if you could unlock Exadata’s full potential - not through trial and error, but through a proven, step-by-step methodology used by top-tier DBAs at Fortune 500 companies? Mastering Oracle Exadata for High-Performance Database Management is your direct line to elite-level performance tuning, infrastructure mastery, and intelligent database operations that deliver demonstrable ROI. This is not theory. This is the exact operational blueprint that has enabled senior database engineers to reduce query times by up to 90%, cut I/O bottlenecks by redesigning storage configurations, and increase system uptime to 99.999%. One learner, a Principal DBA at a global financial institution, applied the Smart Scan optimisation protocols from this course to re-engineer his reporting database. Within three weeks, average report generation dropped from 42 seconds to under 4 seconds. His team received executive recognition, and he was fast-tracked for promotion. This course transforms uncertainty into authority. It moves you from reactive troubleshooting to proactive leadership in high-performance database environments. No more guesswork, no more fear during audit season or migration windows. You’ll go from overwhelmed to board-ready, with a deep, hands-on understanding of Exadata’s unique architecture and the tools to wield it like a weapon for speed, resilience, and compliance. Here’s how this course is structured to help you get there.Course Format & Delivery Details Self-Paced. Immediate Online Access. Zero Time Conflicts.
This course is built for professionals who lead demanding schedules but refuse to compromise on growth. As soon as you enrol, you gain full access to the entire program - no waiting for cohorts, no fixed start dates, and no time zone barriers. You decide when, where, and how fast you learn. What You Actually Get
- Self-paced learning designed to fit around your production cycles and critical maintenance windows.
- On-demand access with no deadlines or live sessions to attend. Learn during off-peak hours or between sprints.
- Lifetime access to all course materials, including future updates at no additional cost - because Exadata evolves, and so does this curriculum.
- Mobile-friendly platform with responsive design, allowing you to study on any device, anytime, anywhere.
- 24/7 global access - whether you're in Singapore, Frankfurt, or New York, your progress is always synced and secure.
- Direct instructor support through curated Q&A checkpoints and in-module guidance - not generic forums, but structured expert insights embedded where you need them most.
- A Certificate of Completion issued by The Art of Service, a globally recognised credential that validates your mastery of Exadata performance engineering and is cited by employers across financial services, healthcare, and cloud infrastructure sectors.
Transparent, Risk-Free Enrollment
We understand that investing in training is a decision of trust. That’s why every aspect of your experience is designed to minimise risk and maximise confidence: - No hidden fees - the price you see is the only price you pay, with no upsells or surprise charges.
- Secure checkout with Visa, Mastercard, PayPal - trusted payment methods, encrypted and compliant.
- 90-day money-back guarantee - if you complete the first two modules and don’t feel a measurable increase in confidence and capability, request a full refund. No questions, no friction.
- After enrolment, you’ll receive a confirmation email followed by your access details once the course materials are fully configured - ensuring a smooth, error-free start.
Will This Work for Me?
Yes - even if you’ve struggled with Exadata documentation in the past, even if you're transitioning from traditional Oracle database roles, and even if your current environment lacks full Exadata optimisation. This course is trusted by Lead Performance Engineers at multinational banks, Senior DBAs managing petabyte-scale data warehouses, and Cloud Infrastructure Architects at national telecom providers. The methodology is role-agnostic, outcome-specific, and built on decades of real-world tuning patterns. This works even if: You’ve never managed an Exadata rack directly, your organisation uses hybrid cloud deployments, or you’re returning to Exadata after a long absence. The structured progression from fundamentals to advanced tuning ensures every learner builds competence systematically, not through luck or legacy knowledge. You’re not just buying content - you’re gaining a repeatable, auditable, battle-tested framework for Exadata excellence. That’s the difference between temporary fixes and permanent transformation.
Module 1: Foundations of Oracle Exadata Architecture - Understanding the Exadata stack: database servers, storage servers, and InfiniBand networking
- Key differences between Exadata and traditional Oracle database environments
- Hardware generations overview: X8, X9, and engineered system evolution
- Role of the Exadata Storage Server (Cell) in performance acceleration
- Breakdown of Smart Scans and their impact on full table scans
- Understanding the Exadata Hybrid Columnar Compression (EHCC) mechanism
- Physical vs logical architecture of the Exadata rack
- Zone architecture and security boundaries within the Exadata environment
- How CPU and memory are optimised across database and storage tiers
- Introduction to Intelligent Platform Management Interface (IPMI) for hardware monitoring
Module 2: Exadata Deployment and Provisioning Strategies - Pre-deployment checklist: validating network, power, and rack requirements
- Best practices for Exadata initial configuration and domain setup
- Oracle Grid Infrastructure installation sequence and verification
- Using OEDA (Oracle Exadata Deployment Assistant) for deployment planning
- Network configuration: public, private, and ILOM interfaces
- DNS and NTP setup for cluster synchronisation
- Verifying InfiniBand fabric connectivity and latency benchmarks
- Storage grid activation and cell discovery procedures
- ASM disk group creation and naming conventions for Exadata
- Data and recovery disk group configuration with redundancy levels
- Database home installation and patching strategy pre-deployment
- Validating patch levels using opatch and system inspection tools
- Benchmarking initial I/O performance post-deployment
Module 3: Core Performance Principles and Tuning Concepts - Fundamentals of database latency and throughput in Exadata
- Identifying performance bottlenecks: CPU, memory, network, or I/O
- Understanding the Oracle wait interface in an Exadata context
- How Exadata offloads processing to storage cells for efficiency
- Smart Scan eligibility criteria and diagnostic tools
- Interpreting v$sql views for Exadata-specific wait events
- Using Automatic Workload Repository (AWR) reports for Exadata tuning
- Identifying High Performance statistics in AWR: cell multiblock physical reads
- Active Session History (ASH) analysis for real-time bottleneck detection
- Top SQL identification for Exadata tuning prioritisation
- SQL Plan Directives and their influence on Exadata execution
- Method R analysis for end-to-end response time breakdowns
- Correlating database metrics with Cell metrics for root cause
Module 4: Smart Scans and Offload Processing Deep Dive - How Smart Scans reduce network traffic via column filtering
- Predicate filtering and data elimination at the storage layer
- Projections: returning only necessary columns to the database node
- Batched data transfer and its impact on throughput
- Identifying when Smart Scans are not being used
- Troubleshooting disabled offloading due to compression or index access
- Using cell_offload_processing parameter correctly
- Smart Scan with joins: Bloom filter generation and pruning
- Controlling parallelism to maximise Smart Scan efficiency
- Cluster health monitoring and failure response workflows
- DIAG and CHAD logs review for performance anomalies
- Standby database integration with log transport services
- Failover simulation and RAC redundancy validation
- Using srvctl commands for instance control and status checks
- Cluster-ready services resource management and dependency trees
Module 5: Storage and I/O Optimisation Techniques - Understanding cell metrics: requests, wait times, and service times
- Using CellCLI to monitor storage server performance
- Cell physical read and write latencies: acceptable thresholds
- Flash cache behaviour and hit ratio optimisation
- Flash log and its role in write acceleration
- IORM (I/O Resource Manager) configuration and resource plans
- Database and category plan settings for workload prioritisation
- Managing I/O starvation in multi-tenant environments
- Soft and hard resource limits in IORM policies
- Validating IORM effectiveness using emcli and metrics
- Disk region management: high, medium, low priority regions
- Tuning ASM allocation units for Exadata performance
- ZFS and backup storage integration best practices
- Understanding grid disk vs celldisk relationships
- Proactive cell monitoring using SNMP traps and alerting
Module 6: SQL and Query Optimisation for Exadata - Write consistent cell statistics for reliable analysis
- Monitoring offloaded versus non-offloaded executions
- Impact of indexes on Smart Scan eligibility
- When NOT to use indexes in Exadata full scan scenarios
- Function-based indexes and their offload behaviour
- Using SQL Monitoring reports to observe Exadata offload
- In-Memory column store interaction with Smart Scans
- Navigating execution plans for Exadata-specific access paths
- Understanding TYP=QC statistics in trace files
- Real-time SQL monitoring for long-running Exadata queries
- Binding variables and their effect on offload performance
- Monitoring object-level statistics using DBMS_STATS
- Handling obsolete or stale statistics in data warehouse loads
- Dynamic sampling levels and Exadata optimisation
- SQL Plan Baselines and evolution in Exadata environments
Module 7: Exadata in Oracle Real Application Clusters (RAC) - Integration of Exadata with Oracle RAC architecture
- Understanding Global Cache Service (GCS) in high-throughput clusters
- Cross-instance parallel query coordination on Exadata
- Instance affinity and service placement for performance
- Service-level failover planning and read scalability
- Interconnect tuning for Exadata RAC environments
- Private network latency targets and benchmarks
- CRS and CSS daemon health checks for cluster stability
- OCR and voting disk placement on Exadata storage
- Node eviction troubleshooting and prevention
- Node restart procedures without service interruption
- Instance recovery time benchmarks post-failure
- Global Enqueue Service (GES) tuning for high contention
- GC buffer busy wait event analysis and resolution
Module 8: Exadata Security and Compliance Configuration - Network isolation strategies for Exadata environments
- Firewall configuration for database, storage, and management networks
- Role separation: SYSDBA, SYSOPER, SYSASM, and security implications
- Using OS-based authentication securely in Exadata
- Data encryption at rest using TDE and wallet management
- Transport Layer Security (TLS) for Exadata client connections
- Auditing critical actions: logon, DDL, and privilege usage
- Unified Auditing performance considerations in Exadata
- Retention policies for audit trail in high-volume systems
- Implementing Oracle Key Vault for centralised credential management
- Password complexity enforcement across database homes
- Privilege analysis for reducing over-privileged accounts
- Data masking integration for non-production Exadata clones
- Segregation of duties in Exadata administrative roles
- Compliance reporting for SOX, HIPAA, and GDPR
Module 9: Backup, Recovery, and Disaster Recovery Planning - RMAN architecture optimisations for Exadata
- Configuring RMAN for channel allocation across cluster nodes
- Using backup offload to reduce database node I/O
- Image copy versus incremental backup trade-offs
- FRA (Fast Recovery Area) sizing for Exadata workloads
- Recovery scenarios: instance, media, and complete database
- Testing backup integrity using RESTORE VALIDATE
- Duplicate database creation for UAT and reporting
- Using RMAN with Oracle Secure Backup (OSB)
- Integration with NFS-based backup storage targets
- Cloud backup options: Oracle Cloud Infrastructure Object Storage
- Backup compression levels and CPU trade-offs
- Monitoring RMAN progress and performance bottlenecks
- Standby database creation using RMAN DUPLICATE
- Failover and switchover procedures in Data Guard configurations
- Fast Start Failover (FSFO) setup and testing
- Role transit lag monitoring and diagnostic traces
- Using DGMGRL for broker-managed Data Guard
- Snapshot standby for temporary testing environments
Module 10: Exadata Cloud Integration and Hybrid Deployments - Comparing on-premise Exadata with Exadata Cloud Service (ExaCS)
- Migrating databases from on-prem to Oracle Cloud Exadata
- Using Data Pump with network encryption and compression
- Physical migration using RMAN backup to cloud
- Network bandwidth considerations for cloud migrations
- Hybrid workload management: on-prem and cloud coexistence
- Latency optimisation for cross-cloud distributed queries
- Storage auto-scaling in Oracle Cloud Exadata environments
- Monitoring cloud performance using OCI Console and APIs
- Cost optimisation: right-sizing compute shapes and licenses
- Cloud patching and maintenance windows management
- Access control in cloud: IAM roles and policies
- Integration with on-prem identity providers using federation
- Backup strategies for cloud-based Exadata databases
- Disaster recovery between cloud regions
Module 11: Advanced Diagnostics and Performance Auditing - Using ADRCI for centralised trace file management
- Correlating database, ASM, and cell logs for root cause
- Automatic Diagnostic Repository (ADR) structure and navigation
- Incident packaging and upload to Oracle Support
- Hang Analyser (oradebug hanganalyze) for stuck sessions
- Latch and mutex contention analysis in Exadata RAC
- Library cache locking issues and resolution
- Enqueue waits and global deadlock detection
- System state dumps interpretation and filtering
- AWR delta analysis for performance regression tracking
- Baseline creation and comparison for capacity planning
- SQL Performance Analyser (SPA) for change impact testing
- Database Replay for workload simulation and stress testing
- Explain Plan variance detection using SQL Tuning Sets
- Automatic Database Diagnostic Monitor (ADDM) customisation
- Interpreting ADDM findings specific to Exadata bottlenecks
- Using PL/SQL scripts for automated performance checks
Module 12: Exadata for Data Warehousing and Analytics - Optimising bulk loads using Direct Path Insert and SQL*Loader
- Evaluating EHCC compression levels: query, archive, high, low
- Implementing compression for large fact tables and dimension tables
- Index strategies for star schema queries on Exadata
- Bitmapped indexes versus B-tree in analytical workloads
- Materialised views and their refresh strategies
- Fast refresh mechanisms using materialised view logs
- Partitioning strategies: range, list, hash, and composite
- Partition pruning effectiveness verification
- Indexing partitioned tables for query efficiency
- Parallel execution tuning for analytical queries
- DOP (Degree of Parallelism) management and auto DOP
- Parallel statement queuing to avoid resource exhaustion
- Using PQ hints strategically without overloading cells
- Monitoring parallel server sets and instance groups
- Adaptive execution plans in Exadata analytical environments
- Handling skew in parallel execution
Module 13: Machine Learning and Automation in Exadata Management - Introduction to Oracle Autonomous Database and its Exadata foundation
- Automated indexing: evaluation, implementation, and rollback
- Automatic SQL Tuning Advisor in Exadata settings
- ML-based performance predictions using Oracle Diagnostics
- Implementing SQL Plan Management with evolving workloads
- Automated statistics gathering: schedules and thresholds
- Handling stale object detection and automatic refresh
- Using Oracle Enterprise Manager for Exadata monitoring
- Cloud Control metrics and dashboards for proactive alerts
- Creating custom composite monitoring templates
- Threshold-based alerting for I/O, CPU, and memory
- Automated job scheduling with Oracle Scheduler
- Script automation using DBMS_JOB and PL/SQL wrappers
- Integration with third-party monitoring tools via APIs
- Automated schema refresh for non-production environments
Module 14: Certified Hands-On Implementation Projects - Project 1: Full Exadata performance audit from AWR and cell metrics
- Project 2: Redesigning I/O resource plans using IORM
- Project 3: Migrating a production database with RMAN to Exadata
- Project 4: Implementing EHCC compression on a large transaction table
- Project 5: Optimising a slow analytical query using Smart Scans
- Project 6: Setting up Data Guard with Fast Start Failover
- Project 7: Diagnosing and resolving a high-wait latency scenario
- Project 8: Creating a capacity plan using AWR baseline analysis
- Project 9: Configuring automated backup and restore validation
- Project 10: Tuning parallel execution for a data warehouse ETL job
- Documentation requirements for each implementation
- Peer review criteria for best practices validation
- Self-assessment rubrics for performance outcomes
- Submission format for Certificate of Completion eligibility
- Feedback integration from guided review checklists
Module 15: Career Advancement and Certification Pathways - How to position Exadata expertise on your CV and LinkedIn
- Crafting technical narratives for promotion and leadership roles
- Highlighting ROI-driven results from your hands-on projects
- Preparing for Exadata-focused technical interviews
- Common certification paths: Oracle Certified Professional (OCP)
- Oracle Expert Exadata Administration certification roadmap
- Continuing education with Oracle University recommendations
- Joining Exadata user groups and professional networks
- Presenting case studies at internal and industry events
- Mentoring junior DBAs using your Exadata mastery
- Building a personal brand as a high-performance data specialist
- Negotiating compensation based on certified skill differentiation
- Leveraging The Art of Service certificate in performance reviews
- Access to exclusive alumni resources and updates
- Path to instructor or consultant roles in Exadata performance
- Understanding the Exadata stack: database servers, storage servers, and InfiniBand networking
- Key differences between Exadata and traditional Oracle database environments
- Hardware generations overview: X8, X9, and engineered system evolution
- Role of the Exadata Storage Server (Cell) in performance acceleration
- Breakdown of Smart Scans and their impact on full table scans
- Understanding the Exadata Hybrid Columnar Compression (EHCC) mechanism
- Physical vs logical architecture of the Exadata rack
- Zone architecture and security boundaries within the Exadata environment
- How CPU and memory are optimised across database and storage tiers
- Introduction to Intelligent Platform Management Interface (IPMI) for hardware monitoring
Module 2: Exadata Deployment and Provisioning Strategies - Pre-deployment checklist: validating network, power, and rack requirements
- Best practices for Exadata initial configuration and domain setup
- Oracle Grid Infrastructure installation sequence and verification
- Using OEDA (Oracle Exadata Deployment Assistant) for deployment planning
- Network configuration: public, private, and ILOM interfaces
- DNS and NTP setup for cluster synchronisation
- Verifying InfiniBand fabric connectivity and latency benchmarks
- Storage grid activation and cell discovery procedures
- ASM disk group creation and naming conventions for Exadata
- Data and recovery disk group configuration with redundancy levels
- Database home installation and patching strategy pre-deployment
- Validating patch levels using opatch and system inspection tools
- Benchmarking initial I/O performance post-deployment
Module 3: Core Performance Principles and Tuning Concepts - Fundamentals of database latency and throughput in Exadata
- Identifying performance bottlenecks: CPU, memory, network, or I/O
- Understanding the Oracle wait interface in an Exadata context
- How Exadata offloads processing to storage cells for efficiency
- Smart Scan eligibility criteria and diagnostic tools
- Interpreting v$sql views for Exadata-specific wait events
- Using Automatic Workload Repository (AWR) reports for Exadata tuning
- Identifying High Performance statistics in AWR: cell multiblock physical reads
- Active Session History (ASH) analysis for real-time bottleneck detection
- Top SQL identification for Exadata tuning prioritisation
- SQL Plan Directives and their influence on Exadata execution
- Method R analysis for end-to-end response time breakdowns
- Correlating database metrics with Cell metrics for root cause
Module 4: Smart Scans and Offload Processing Deep Dive - How Smart Scans reduce network traffic via column filtering
- Predicate filtering and data elimination at the storage layer
- Projections: returning only necessary columns to the database node
- Batched data transfer and its impact on throughput
- Identifying when Smart Scans are not being used
- Troubleshooting disabled offloading due to compression or index access
- Using cell_offload_processing parameter correctly
- Smart Scan with joins: Bloom filter generation and pruning
- Controlling parallelism to maximise Smart Scan efficiency
- Cluster health monitoring and failure response workflows
- DIAG and CHAD logs review for performance anomalies
- Standby database integration with log transport services
- Failover simulation and RAC redundancy validation
- Using srvctl commands for instance control and status checks
- Cluster-ready services resource management and dependency trees
Module 5: Storage and I/O Optimisation Techniques - Understanding cell metrics: requests, wait times, and service times
- Using CellCLI to monitor storage server performance
- Cell physical read and write latencies: acceptable thresholds
- Flash cache behaviour and hit ratio optimisation
- Flash log and its role in write acceleration
- IORM (I/O Resource Manager) configuration and resource plans
- Database and category plan settings for workload prioritisation
- Managing I/O starvation in multi-tenant environments
- Soft and hard resource limits in IORM policies
- Validating IORM effectiveness using emcli and metrics
- Disk region management: high, medium, low priority regions
- Tuning ASM allocation units for Exadata performance
- ZFS and backup storage integration best practices
- Understanding grid disk vs celldisk relationships
- Proactive cell monitoring using SNMP traps and alerting
Module 6: SQL and Query Optimisation for Exadata - Write consistent cell statistics for reliable analysis
- Monitoring offloaded versus non-offloaded executions
- Impact of indexes on Smart Scan eligibility
- When NOT to use indexes in Exadata full scan scenarios
- Function-based indexes and their offload behaviour
- Using SQL Monitoring reports to observe Exadata offload
- In-Memory column store interaction with Smart Scans
- Navigating execution plans for Exadata-specific access paths
- Understanding TYP=QC statistics in trace files
- Real-time SQL monitoring for long-running Exadata queries
- Binding variables and their effect on offload performance
- Monitoring object-level statistics using DBMS_STATS
- Handling obsolete or stale statistics in data warehouse loads
- Dynamic sampling levels and Exadata optimisation
- SQL Plan Baselines and evolution in Exadata environments
Module 7: Exadata in Oracle Real Application Clusters (RAC) - Integration of Exadata with Oracle RAC architecture
- Understanding Global Cache Service (GCS) in high-throughput clusters
- Cross-instance parallel query coordination on Exadata
- Instance affinity and service placement for performance
- Service-level failover planning and read scalability
- Interconnect tuning for Exadata RAC environments
- Private network latency targets and benchmarks
- CRS and CSS daemon health checks for cluster stability
- OCR and voting disk placement on Exadata storage
- Node eviction troubleshooting and prevention
- Node restart procedures without service interruption
- Instance recovery time benchmarks post-failure
- Global Enqueue Service (GES) tuning for high contention
- GC buffer busy wait event analysis and resolution
Module 8: Exadata Security and Compliance Configuration - Network isolation strategies for Exadata environments
- Firewall configuration for database, storage, and management networks
- Role separation: SYSDBA, SYSOPER, SYSASM, and security implications
- Using OS-based authentication securely in Exadata
- Data encryption at rest using TDE and wallet management
- Transport Layer Security (TLS) for Exadata client connections
- Auditing critical actions: logon, DDL, and privilege usage
- Unified Auditing performance considerations in Exadata
- Retention policies for audit trail in high-volume systems
- Implementing Oracle Key Vault for centralised credential management
- Password complexity enforcement across database homes
- Privilege analysis for reducing over-privileged accounts
- Data masking integration for non-production Exadata clones
- Segregation of duties in Exadata administrative roles
- Compliance reporting for SOX, HIPAA, and GDPR
Module 9: Backup, Recovery, and Disaster Recovery Planning - RMAN architecture optimisations for Exadata
- Configuring RMAN for channel allocation across cluster nodes
- Using backup offload to reduce database node I/O
- Image copy versus incremental backup trade-offs
- FRA (Fast Recovery Area) sizing for Exadata workloads
- Recovery scenarios: instance, media, and complete database
- Testing backup integrity using RESTORE VALIDATE
- Duplicate database creation for UAT and reporting
- Using RMAN with Oracle Secure Backup (OSB)
- Integration with NFS-based backup storage targets
- Cloud backup options: Oracle Cloud Infrastructure Object Storage
- Backup compression levels and CPU trade-offs
- Monitoring RMAN progress and performance bottlenecks
- Standby database creation using RMAN DUPLICATE
- Failover and switchover procedures in Data Guard configurations
- Fast Start Failover (FSFO) setup and testing
- Role transit lag monitoring and diagnostic traces
- Using DGMGRL for broker-managed Data Guard
- Snapshot standby for temporary testing environments
Module 10: Exadata Cloud Integration and Hybrid Deployments - Comparing on-premise Exadata with Exadata Cloud Service (ExaCS)
- Migrating databases from on-prem to Oracle Cloud Exadata
- Using Data Pump with network encryption and compression
- Physical migration using RMAN backup to cloud
- Network bandwidth considerations for cloud migrations
- Hybrid workload management: on-prem and cloud coexistence
- Latency optimisation for cross-cloud distributed queries
- Storage auto-scaling in Oracle Cloud Exadata environments
- Monitoring cloud performance using OCI Console and APIs
- Cost optimisation: right-sizing compute shapes and licenses
- Cloud patching and maintenance windows management
- Access control in cloud: IAM roles and policies
- Integration with on-prem identity providers using federation
- Backup strategies for cloud-based Exadata databases
- Disaster recovery between cloud regions
Module 11: Advanced Diagnostics and Performance Auditing - Using ADRCI for centralised trace file management
- Correlating database, ASM, and cell logs for root cause
- Automatic Diagnostic Repository (ADR) structure and navigation
- Incident packaging and upload to Oracle Support
- Hang Analyser (oradebug hanganalyze) for stuck sessions
- Latch and mutex contention analysis in Exadata RAC
- Library cache locking issues and resolution
- Enqueue waits and global deadlock detection
- System state dumps interpretation and filtering
- AWR delta analysis for performance regression tracking
- Baseline creation and comparison for capacity planning
- SQL Performance Analyser (SPA) for change impact testing
- Database Replay for workload simulation and stress testing
- Explain Plan variance detection using SQL Tuning Sets
- Automatic Database Diagnostic Monitor (ADDM) customisation
- Interpreting ADDM findings specific to Exadata bottlenecks
- Using PL/SQL scripts for automated performance checks
Module 12: Exadata for Data Warehousing and Analytics - Optimising bulk loads using Direct Path Insert and SQL*Loader
- Evaluating EHCC compression levels: query, archive, high, low
- Implementing compression for large fact tables and dimension tables
- Index strategies for star schema queries on Exadata
- Bitmapped indexes versus B-tree in analytical workloads
- Materialised views and their refresh strategies
- Fast refresh mechanisms using materialised view logs
- Partitioning strategies: range, list, hash, and composite
- Partition pruning effectiveness verification
- Indexing partitioned tables for query efficiency
- Parallel execution tuning for analytical queries
- DOP (Degree of Parallelism) management and auto DOP
- Parallel statement queuing to avoid resource exhaustion
- Using PQ hints strategically without overloading cells
- Monitoring parallel server sets and instance groups
- Adaptive execution plans in Exadata analytical environments
- Handling skew in parallel execution
Module 13: Machine Learning and Automation in Exadata Management - Introduction to Oracle Autonomous Database and its Exadata foundation
- Automated indexing: evaluation, implementation, and rollback
- Automatic SQL Tuning Advisor in Exadata settings
- ML-based performance predictions using Oracle Diagnostics
- Implementing SQL Plan Management with evolving workloads
- Automated statistics gathering: schedules and thresholds
- Handling stale object detection and automatic refresh
- Using Oracle Enterprise Manager for Exadata monitoring
- Cloud Control metrics and dashboards for proactive alerts
- Creating custom composite monitoring templates
- Threshold-based alerting for I/O, CPU, and memory
- Automated job scheduling with Oracle Scheduler
- Script automation using DBMS_JOB and PL/SQL wrappers
- Integration with third-party monitoring tools via APIs
- Automated schema refresh for non-production environments
Module 14: Certified Hands-On Implementation Projects - Project 1: Full Exadata performance audit from AWR and cell metrics
- Project 2: Redesigning I/O resource plans using IORM
- Project 3: Migrating a production database with RMAN to Exadata
- Project 4: Implementing EHCC compression on a large transaction table
- Project 5: Optimising a slow analytical query using Smart Scans
- Project 6: Setting up Data Guard with Fast Start Failover
- Project 7: Diagnosing and resolving a high-wait latency scenario
- Project 8: Creating a capacity plan using AWR baseline analysis
- Project 9: Configuring automated backup and restore validation
- Project 10: Tuning parallel execution for a data warehouse ETL job
- Documentation requirements for each implementation
- Peer review criteria for best practices validation
- Self-assessment rubrics for performance outcomes
- Submission format for Certificate of Completion eligibility
- Feedback integration from guided review checklists
Module 15: Career Advancement and Certification Pathways - How to position Exadata expertise on your CV and LinkedIn
- Crafting technical narratives for promotion and leadership roles
- Highlighting ROI-driven results from your hands-on projects
- Preparing for Exadata-focused technical interviews
- Common certification paths: Oracle Certified Professional (OCP)
- Oracle Expert Exadata Administration certification roadmap
- Continuing education with Oracle University recommendations
- Joining Exadata user groups and professional networks
- Presenting case studies at internal and industry events
- Mentoring junior DBAs using your Exadata mastery
- Building a personal brand as a high-performance data specialist
- Negotiating compensation based on certified skill differentiation
- Leveraging The Art of Service certificate in performance reviews
- Access to exclusive alumni resources and updates
- Path to instructor or consultant roles in Exadata performance
- Fundamentals of database latency and throughput in Exadata
- Identifying performance bottlenecks: CPU, memory, network, or I/O
- Understanding the Oracle wait interface in an Exadata context
- How Exadata offloads processing to storage cells for efficiency
- Smart Scan eligibility criteria and diagnostic tools
- Interpreting v$sql views for Exadata-specific wait events
- Using Automatic Workload Repository (AWR) reports for Exadata tuning
- Identifying High Performance statistics in AWR: cell multiblock physical reads
- Active Session History (ASH) analysis for real-time bottleneck detection
- Top SQL identification for Exadata tuning prioritisation
- SQL Plan Directives and their influence on Exadata execution
- Method R analysis for end-to-end response time breakdowns
- Correlating database metrics with Cell metrics for root cause
Module 4: Smart Scans and Offload Processing Deep Dive - How Smart Scans reduce network traffic via column filtering
- Predicate filtering and data elimination at the storage layer
- Projections: returning only necessary columns to the database node
- Batched data transfer and its impact on throughput
- Identifying when Smart Scans are not being used
- Troubleshooting disabled offloading due to compression or index access
- Using cell_offload_processing parameter correctly
- Smart Scan with joins: Bloom filter generation and pruning
- Controlling parallelism to maximise Smart Scan efficiency
- Cluster health monitoring and failure response workflows
- DIAG and CHAD logs review for performance anomalies
- Standby database integration with log transport services
- Failover simulation and RAC redundancy validation
- Using srvctl commands for instance control and status checks
- Cluster-ready services resource management and dependency trees
Module 5: Storage and I/O Optimisation Techniques - Understanding cell metrics: requests, wait times, and service times
- Using CellCLI to monitor storage server performance
- Cell physical read and write latencies: acceptable thresholds
- Flash cache behaviour and hit ratio optimisation
- Flash log and its role in write acceleration
- IORM (I/O Resource Manager) configuration and resource plans
- Database and category plan settings for workload prioritisation
- Managing I/O starvation in multi-tenant environments
- Soft and hard resource limits in IORM policies
- Validating IORM effectiveness using emcli and metrics
- Disk region management: high, medium, low priority regions
- Tuning ASM allocation units for Exadata performance
- ZFS and backup storage integration best practices
- Understanding grid disk vs celldisk relationships
- Proactive cell monitoring using SNMP traps and alerting
Module 6: SQL and Query Optimisation for Exadata - Write consistent cell statistics for reliable analysis
- Monitoring offloaded versus non-offloaded executions
- Impact of indexes on Smart Scan eligibility
- When NOT to use indexes in Exadata full scan scenarios
- Function-based indexes and their offload behaviour
- Using SQL Monitoring reports to observe Exadata offload
- In-Memory column store interaction with Smart Scans
- Navigating execution plans for Exadata-specific access paths
- Understanding TYP=QC statistics in trace files
- Real-time SQL monitoring for long-running Exadata queries
- Binding variables and their effect on offload performance
- Monitoring object-level statistics using DBMS_STATS
- Handling obsolete or stale statistics in data warehouse loads
- Dynamic sampling levels and Exadata optimisation
- SQL Plan Baselines and evolution in Exadata environments
Module 7: Exadata in Oracle Real Application Clusters (RAC) - Integration of Exadata with Oracle RAC architecture
- Understanding Global Cache Service (GCS) in high-throughput clusters
- Cross-instance parallel query coordination on Exadata
- Instance affinity and service placement for performance
- Service-level failover planning and read scalability
- Interconnect tuning for Exadata RAC environments
- Private network latency targets and benchmarks
- CRS and CSS daemon health checks for cluster stability
- OCR and voting disk placement on Exadata storage
- Node eviction troubleshooting and prevention
- Node restart procedures without service interruption
- Instance recovery time benchmarks post-failure
- Global Enqueue Service (GES) tuning for high contention
- GC buffer busy wait event analysis and resolution
Module 8: Exadata Security and Compliance Configuration - Network isolation strategies for Exadata environments
- Firewall configuration for database, storage, and management networks
- Role separation: SYSDBA, SYSOPER, SYSASM, and security implications
- Using OS-based authentication securely in Exadata
- Data encryption at rest using TDE and wallet management
- Transport Layer Security (TLS) for Exadata client connections
- Auditing critical actions: logon, DDL, and privilege usage
- Unified Auditing performance considerations in Exadata
- Retention policies for audit trail in high-volume systems
- Implementing Oracle Key Vault for centralised credential management
- Password complexity enforcement across database homes
- Privilege analysis for reducing over-privileged accounts
- Data masking integration for non-production Exadata clones
- Segregation of duties in Exadata administrative roles
- Compliance reporting for SOX, HIPAA, and GDPR
Module 9: Backup, Recovery, and Disaster Recovery Planning - RMAN architecture optimisations for Exadata
- Configuring RMAN for channel allocation across cluster nodes
- Using backup offload to reduce database node I/O
- Image copy versus incremental backup trade-offs
- FRA (Fast Recovery Area) sizing for Exadata workloads
- Recovery scenarios: instance, media, and complete database
- Testing backup integrity using RESTORE VALIDATE
- Duplicate database creation for UAT and reporting
- Using RMAN with Oracle Secure Backup (OSB)
- Integration with NFS-based backup storage targets
- Cloud backup options: Oracle Cloud Infrastructure Object Storage
- Backup compression levels and CPU trade-offs
- Monitoring RMAN progress and performance bottlenecks
- Standby database creation using RMAN DUPLICATE
- Failover and switchover procedures in Data Guard configurations
- Fast Start Failover (FSFO) setup and testing
- Role transit lag monitoring and diagnostic traces
- Using DGMGRL for broker-managed Data Guard
- Snapshot standby for temporary testing environments
Module 10: Exadata Cloud Integration and Hybrid Deployments - Comparing on-premise Exadata with Exadata Cloud Service (ExaCS)
- Migrating databases from on-prem to Oracle Cloud Exadata
- Using Data Pump with network encryption and compression
- Physical migration using RMAN backup to cloud
- Network bandwidth considerations for cloud migrations
- Hybrid workload management: on-prem and cloud coexistence
- Latency optimisation for cross-cloud distributed queries
- Storage auto-scaling in Oracle Cloud Exadata environments
- Monitoring cloud performance using OCI Console and APIs
- Cost optimisation: right-sizing compute shapes and licenses
- Cloud patching and maintenance windows management
- Access control in cloud: IAM roles and policies
- Integration with on-prem identity providers using federation
- Backup strategies for cloud-based Exadata databases
- Disaster recovery between cloud regions
Module 11: Advanced Diagnostics and Performance Auditing - Using ADRCI for centralised trace file management
- Correlating database, ASM, and cell logs for root cause
- Automatic Diagnostic Repository (ADR) structure and navigation
- Incident packaging and upload to Oracle Support
- Hang Analyser (oradebug hanganalyze) for stuck sessions
- Latch and mutex contention analysis in Exadata RAC
- Library cache locking issues and resolution
- Enqueue waits and global deadlock detection
- System state dumps interpretation and filtering
- AWR delta analysis for performance regression tracking
- Baseline creation and comparison for capacity planning
- SQL Performance Analyser (SPA) for change impact testing
- Database Replay for workload simulation and stress testing
- Explain Plan variance detection using SQL Tuning Sets
- Automatic Database Diagnostic Monitor (ADDM) customisation
- Interpreting ADDM findings specific to Exadata bottlenecks
- Using PL/SQL scripts for automated performance checks
Module 12: Exadata for Data Warehousing and Analytics - Optimising bulk loads using Direct Path Insert and SQL*Loader
- Evaluating EHCC compression levels: query, archive, high, low
- Implementing compression for large fact tables and dimension tables
- Index strategies for star schema queries on Exadata
- Bitmapped indexes versus B-tree in analytical workloads
- Materialised views and their refresh strategies
- Fast refresh mechanisms using materialised view logs
- Partitioning strategies: range, list, hash, and composite
- Partition pruning effectiveness verification
- Indexing partitioned tables for query efficiency
- Parallel execution tuning for analytical queries
- DOP (Degree of Parallelism) management and auto DOP
- Parallel statement queuing to avoid resource exhaustion
- Using PQ hints strategically without overloading cells
- Monitoring parallel server sets and instance groups
- Adaptive execution plans in Exadata analytical environments
- Handling skew in parallel execution
Module 13: Machine Learning and Automation in Exadata Management - Introduction to Oracle Autonomous Database and its Exadata foundation
- Automated indexing: evaluation, implementation, and rollback
- Automatic SQL Tuning Advisor in Exadata settings
- ML-based performance predictions using Oracle Diagnostics
- Implementing SQL Plan Management with evolving workloads
- Automated statistics gathering: schedules and thresholds
- Handling stale object detection and automatic refresh
- Using Oracle Enterprise Manager for Exadata monitoring
- Cloud Control metrics and dashboards for proactive alerts
- Creating custom composite monitoring templates
- Threshold-based alerting for I/O, CPU, and memory
- Automated job scheduling with Oracle Scheduler
- Script automation using DBMS_JOB and PL/SQL wrappers
- Integration with third-party monitoring tools via APIs
- Automated schema refresh for non-production environments
Module 14: Certified Hands-On Implementation Projects - Project 1: Full Exadata performance audit from AWR and cell metrics
- Project 2: Redesigning I/O resource plans using IORM
- Project 3: Migrating a production database with RMAN to Exadata
- Project 4: Implementing EHCC compression on a large transaction table
- Project 5: Optimising a slow analytical query using Smart Scans
- Project 6: Setting up Data Guard with Fast Start Failover
- Project 7: Diagnosing and resolving a high-wait latency scenario
- Project 8: Creating a capacity plan using AWR baseline analysis
- Project 9: Configuring automated backup and restore validation
- Project 10: Tuning parallel execution for a data warehouse ETL job
- Documentation requirements for each implementation
- Peer review criteria for best practices validation
- Self-assessment rubrics for performance outcomes
- Submission format for Certificate of Completion eligibility
- Feedback integration from guided review checklists
Module 15: Career Advancement and Certification Pathways - How to position Exadata expertise on your CV and LinkedIn
- Crafting technical narratives for promotion and leadership roles
- Highlighting ROI-driven results from your hands-on projects
- Preparing for Exadata-focused technical interviews
- Common certification paths: Oracle Certified Professional (OCP)
- Oracle Expert Exadata Administration certification roadmap
- Continuing education with Oracle University recommendations
- Joining Exadata user groups and professional networks
- Presenting case studies at internal and industry events
- Mentoring junior DBAs using your Exadata mastery
- Building a personal brand as a high-performance data specialist
- Negotiating compensation based on certified skill differentiation
- Leveraging The Art of Service certificate in performance reviews
- Access to exclusive alumni resources and updates
- Path to instructor or consultant roles in Exadata performance
- Understanding cell metrics: requests, wait times, and service times
- Using CellCLI to monitor storage server performance
- Cell physical read and write latencies: acceptable thresholds
- Flash cache behaviour and hit ratio optimisation
- Flash log and its role in write acceleration
- IORM (I/O Resource Manager) configuration and resource plans
- Database and category plan settings for workload prioritisation
- Managing I/O starvation in multi-tenant environments
- Soft and hard resource limits in IORM policies
- Validating IORM effectiveness using emcli and metrics
- Disk region management: high, medium, low priority regions
- Tuning ASM allocation units for Exadata performance
- ZFS and backup storage integration best practices
- Understanding grid disk vs celldisk relationships
- Proactive cell monitoring using SNMP traps and alerting
Module 6: SQL and Query Optimisation for Exadata - Write consistent cell statistics for reliable analysis
- Monitoring offloaded versus non-offloaded executions
- Impact of indexes on Smart Scan eligibility
- When NOT to use indexes in Exadata full scan scenarios
- Function-based indexes and their offload behaviour
- Using SQL Monitoring reports to observe Exadata offload
- In-Memory column store interaction with Smart Scans
- Navigating execution plans for Exadata-specific access paths
- Understanding TYP=QC statistics in trace files
- Real-time SQL monitoring for long-running Exadata queries
- Binding variables and their effect on offload performance
- Monitoring object-level statistics using DBMS_STATS
- Handling obsolete or stale statistics in data warehouse loads
- Dynamic sampling levels and Exadata optimisation
- SQL Plan Baselines and evolution in Exadata environments
Module 7: Exadata in Oracle Real Application Clusters (RAC) - Integration of Exadata with Oracle RAC architecture
- Understanding Global Cache Service (GCS) in high-throughput clusters
- Cross-instance parallel query coordination on Exadata
- Instance affinity and service placement for performance
- Service-level failover planning and read scalability
- Interconnect tuning for Exadata RAC environments
- Private network latency targets and benchmarks
- CRS and CSS daemon health checks for cluster stability
- OCR and voting disk placement on Exadata storage
- Node eviction troubleshooting and prevention
- Node restart procedures without service interruption
- Instance recovery time benchmarks post-failure
- Global Enqueue Service (GES) tuning for high contention
- GC buffer busy wait event analysis and resolution
Module 8: Exadata Security and Compliance Configuration - Network isolation strategies for Exadata environments
- Firewall configuration for database, storage, and management networks
- Role separation: SYSDBA, SYSOPER, SYSASM, and security implications
- Using OS-based authentication securely in Exadata
- Data encryption at rest using TDE and wallet management
- Transport Layer Security (TLS) for Exadata client connections
- Auditing critical actions: logon, DDL, and privilege usage
- Unified Auditing performance considerations in Exadata
- Retention policies for audit trail in high-volume systems
- Implementing Oracle Key Vault for centralised credential management
- Password complexity enforcement across database homes
- Privilege analysis for reducing over-privileged accounts
- Data masking integration for non-production Exadata clones
- Segregation of duties in Exadata administrative roles
- Compliance reporting for SOX, HIPAA, and GDPR
Module 9: Backup, Recovery, and Disaster Recovery Planning - RMAN architecture optimisations for Exadata
- Configuring RMAN for channel allocation across cluster nodes
- Using backup offload to reduce database node I/O
- Image copy versus incremental backup trade-offs
- FRA (Fast Recovery Area) sizing for Exadata workloads
- Recovery scenarios: instance, media, and complete database
- Testing backup integrity using RESTORE VALIDATE
- Duplicate database creation for UAT and reporting
- Using RMAN with Oracle Secure Backup (OSB)
- Integration with NFS-based backup storage targets
- Cloud backup options: Oracle Cloud Infrastructure Object Storage
- Backup compression levels and CPU trade-offs
- Monitoring RMAN progress and performance bottlenecks
- Standby database creation using RMAN DUPLICATE
- Failover and switchover procedures in Data Guard configurations
- Fast Start Failover (FSFO) setup and testing
- Role transit lag monitoring and diagnostic traces
- Using DGMGRL for broker-managed Data Guard
- Snapshot standby for temporary testing environments
Module 10: Exadata Cloud Integration and Hybrid Deployments - Comparing on-premise Exadata with Exadata Cloud Service (ExaCS)
- Migrating databases from on-prem to Oracle Cloud Exadata
- Using Data Pump with network encryption and compression
- Physical migration using RMAN backup to cloud
- Network bandwidth considerations for cloud migrations
- Hybrid workload management: on-prem and cloud coexistence
- Latency optimisation for cross-cloud distributed queries
- Storage auto-scaling in Oracle Cloud Exadata environments
- Monitoring cloud performance using OCI Console and APIs
- Cost optimisation: right-sizing compute shapes and licenses
- Cloud patching and maintenance windows management
- Access control in cloud: IAM roles and policies
- Integration with on-prem identity providers using federation
- Backup strategies for cloud-based Exadata databases
- Disaster recovery between cloud regions
Module 11: Advanced Diagnostics and Performance Auditing - Using ADRCI for centralised trace file management
- Correlating database, ASM, and cell logs for root cause
- Automatic Diagnostic Repository (ADR) structure and navigation
- Incident packaging and upload to Oracle Support
- Hang Analyser (oradebug hanganalyze) for stuck sessions
- Latch and mutex contention analysis in Exadata RAC
- Library cache locking issues and resolution
- Enqueue waits and global deadlock detection
- System state dumps interpretation and filtering
- AWR delta analysis for performance regression tracking
- Baseline creation and comparison for capacity planning
- SQL Performance Analyser (SPA) for change impact testing
- Database Replay for workload simulation and stress testing
- Explain Plan variance detection using SQL Tuning Sets
- Automatic Database Diagnostic Monitor (ADDM) customisation
- Interpreting ADDM findings specific to Exadata bottlenecks
- Using PL/SQL scripts for automated performance checks
Module 12: Exadata for Data Warehousing and Analytics - Optimising bulk loads using Direct Path Insert and SQL*Loader
- Evaluating EHCC compression levels: query, archive, high, low
- Implementing compression for large fact tables and dimension tables
- Index strategies for star schema queries on Exadata
- Bitmapped indexes versus B-tree in analytical workloads
- Materialised views and their refresh strategies
- Fast refresh mechanisms using materialised view logs
- Partitioning strategies: range, list, hash, and composite
- Partition pruning effectiveness verification
- Indexing partitioned tables for query efficiency
- Parallel execution tuning for analytical queries
- DOP (Degree of Parallelism) management and auto DOP
- Parallel statement queuing to avoid resource exhaustion
- Using PQ hints strategically without overloading cells
- Monitoring parallel server sets and instance groups
- Adaptive execution plans in Exadata analytical environments
- Handling skew in parallel execution
Module 13: Machine Learning and Automation in Exadata Management - Introduction to Oracle Autonomous Database and its Exadata foundation
- Automated indexing: evaluation, implementation, and rollback
- Automatic SQL Tuning Advisor in Exadata settings
- ML-based performance predictions using Oracle Diagnostics
- Implementing SQL Plan Management with evolving workloads
- Automated statistics gathering: schedules and thresholds
- Handling stale object detection and automatic refresh
- Using Oracle Enterprise Manager for Exadata monitoring
- Cloud Control metrics and dashboards for proactive alerts
- Creating custom composite monitoring templates
- Threshold-based alerting for I/O, CPU, and memory
- Automated job scheduling with Oracle Scheduler
- Script automation using DBMS_JOB and PL/SQL wrappers
- Integration with third-party monitoring tools via APIs
- Automated schema refresh for non-production environments
Module 14: Certified Hands-On Implementation Projects - Project 1: Full Exadata performance audit from AWR and cell metrics
- Project 2: Redesigning I/O resource plans using IORM
- Project 3: Migrating a production database with RMAN to Exadata
- Project 4: Implementing EHCC compression on a large transaction table
- Project 5: Optimising a slow analytical query using Smart Scans
- Project 6: Setting up Data Guard with Fast Start Failover
- Project 7: Diagnosing and resolving a high-wait latency scenario
- Project 8: Creating a capacity plan using AWR baseline analysis
- Project 9: Configuring automated backup and restore validation
- Project 10: Tuning parallel execution for a data warehouse ETL job
- Documentation requirements for each implementation
- Peer review criteria for best practices validation
- Self-assessment rubrics for performance outcomes
- Submission format for Certificate of Completion eligibility
- Feedback integration from guided review checklists
Module 15: Career Advancement and Certification Pathways - How to position Exadata expertise on your CV and LinkedIn
- Crafting technical narratives for promotion and leadership roles
- Highlighting ROI-driven results from your hands-on projects
- Preparing for Exadata-focused technical interviews
- Common certification paths: Oracle Certified Professional (OCP)
- Oracle Expert Exadata Administration certification roadmap
- Continuing education with Oracle University recommendations
- Joining Exadata user groups and professional networks
- Presenting case studies at internal and industry events
- Mentoring junior DBAs using your Exadata mastery
- Building a personal brand as a high-performance data specialist
- Negotiating compensation based on certified skill differentiation
- Leveraging The Art of Service certificate in performance reviews
- Access to exclusive alumni resources and updates
- Path to instructor or consultant roles in Exadata performance
- Integration of Exadata with Oracle RAC architecture
- Understanding Global Cache Service (GCS) in high-throughput clusters
- Cross-instance parallel query coordination on Exadata
- Instance affinity and service placement for performance
- Service-level failover planning and read scalability
- Interconnect tuning for Exadata RAC environments
- Private network latency targets and benchmarks
- CRS and CSS daemon health checks for cluster stability
- OCR and voting disk placement on Exadata storage
- Node eviction troubleshooting and prevention
- Node restart procedures without service interruption
- Instance recovery time benchmarks post-failure
- Global Enqueue Service (GES) tuning for high contention
- GC buffer busy wait event analysis and resolution
Module 8: Exadata Security and Compliance Configuration - Network isolation strategies for Exadata environments
- Firewall configuration for database, storage, and management networks
- Role separation: SYSDBA, SYSOPER, SYSASM, and security implications
- Using OS-based authentication securely in Exadata
- Data encryption at rest using TDE and wallet management
- Transport Layer Security (TLS) for Exadata client connections
- Auditing critical actions: logon, DDL, and privilege usage
- Unified Auditing performance considerations in Exadata
- Retention policies for audit trail in high-volume systems
- Implementing Oracle Key Vault for centralised credential management
- Password complexity enforcement across database homes
- Privilege analysis for reducing over-privileged accounts
- Data masking integration for non-production Exadata clones
- Segregation of duties in Exadata administrative roles
- Compliance reporting for SOX, HIPAA, and GDPR
Module 9: Backup, Recovery, and Disaster Recovery Planning - RMAN architecture optimisations for Exadata
- Configuring RMAN for channel allocation across cluster nodes
- Using backup offload to reduce database node I/O
- Image copy versus incremental backup trade-offs
- FRA (Fast Recovery Area) sizing for Exadata workloads
- Recovery scenarios: instance, media, and complete database
- Testing backup integrity using RESTORE VALIDATE
- Duplicate database creation for UAT and reporting
- Using RMAN with Oracle Secure Backup (OSB)
- Integration with NFS-based backup storage targets
- Cloud backup options: Oracle Cloud Infrastructure Object Storage
- Backup compression levels and CPU trade-offs
- Monitoring RMAN progress and performance bottlenecks
- Standby database creation using RMAN DUPLICATE
- Failover and switchover procedures in Data Guard configurations
- Fast Start Failover (FSFO) setup and testing
- Role transit lag monitoring and diagnostic traces
- Using DGMGRL for broker-managed Data Guard
- Snapshot standby for temporary testing environments
Module 10: Exadata Cloud Integration and Hybrid Deployments - Comparing on-premise Exadata with Exadata Cloud Service (ExaCS)
- Migrating databases from on-prem to Oracle Cloud Exadata
- Using Data Pump with network encryption and compression
- Physical migration using RMAN backup to cloud
- Network bandwidth considerations for cloud migrations
- Hybrid workload management: on-prem and cloud coexistence
- Latency optimisation for cross-cloud distributed queries
- Storage auto-scaling in Oracle Cloud Exadata environments
- Monitoring cloud performance using OCI Console and APIs
- Cost optimisation: right-sizing compute shapes and licenses
- Cloud patching and maintenance windows management
- Access control in cloud: IAM roles and policies
- Integration with on-prem identity providers using federation
- Backup strategies for cloud-based Exadata databases
- Disaster recovery between cloud regions
Module 11: Advanced Diagnostics and Performance Auditing - Using ADRCI for centralised trace file management
- Correlating database, ASM, and cell logs for root cause
- Automatic Diagnostic Repository (ADR) structure and navigation
- Incident packaging and upload to Oracle Support
- Hang Analyser (oradebug hanganalyze) for stuck sessions
- Latch and mutex contention analysis in Exadata RAC
- Library cache locking issues and resolution
- Enqueue waits and global deadlock detection
- System state dumps interpretation and filtering
- AWR delta analysis for performance regression tracking
- Baseline creation and comparison for capacity planning
- SQL Performance Analyser (SPA) for change impact testing
- Database Replay for workload simulation and stress testing
- Explain Plan variance detection using SQL Tuning Sets
- Automatic Database Diagnostic Monitor (ADDM) customisation
- Interpreting ADDM findings specific to Exadata bottlenecks
- Using PL/SQL scripts for automated performance checks
Module 12: Exadata for Data Warehousing and Analytics - Optimising bulk loads using Direct Path Insert and SQL*Loader
- Evaluating EHCC compression levels: query, archive, high, low
- Implementing compression for large fact tables and dimension tables
- Index strategies for star schema queries on Exadata
- Bitmapped indexes versus B-tree in analytical workloads
- Materialised views and their refresh strategies
- Fast refresh mechanisms using materialised view logs
- Partitioning strategies: range, list, hash, and composite
- Partition pruning effectiveness verification
- Indexing partitioned tables for query efficiency
- Parallel execution tuning for analytical queries
- DOP (Degree of Parallelism) management and auto DOP
- Parallel statement queuing to avoid resource exhaustion
- Using PQ hints strategically without overloading cells
- Monitoring parallel server sets and instance groups
- Adaptive execution plans in Exadata analytical environments
- Handling skew in parallel execution
Module 13: Machine Learning and Automation in Exadata Management - Introduction to Oracle Autonomous Database and its Exadata foundation
- Automated indexing: evaluation, implementation, and rollback
- Automatic SQL Tuning Advisor in Exadata settings
- ML-based performance predictions using Oracle Diagnostics
- Implementing SQL Plan Management with evolving workloads
- Automated statistics gathering: schedules and thresholds
- Handling stale object detection and automatic refresh
- Using Oracle Enterprise Manager for Exadata monitoring
- Cloud Control metrics and dashboards for proactive alerts
- Creating custom composite monitoring templates
- Threshold-based alerting for I/O, CPU, and memory
- Automated job scheduling with Oracle Scheduler
- Script automation using DBMS_JOB and PL/SQL wrappers
- Integration with third-party monitoring tools via APIs
- Automated schema refresh for non-production environments
Module 14: Certified Hands-On Implementation Projects - Project 1: Full Exadata performance audit from AWR and cell metrics
- Project 2: Redesigning I/O resource plans using IORM
- Project 3: Migrating a production database with RMAN to Exadata
- Project 4: Implementing EHCC compression on a large transaction table
- Project 5: Optimising a slow analytical query using Smart Scans
- Project 6: Setting up Data Guard with Fast Start Failover
- Project 7: Diagnosing and resolving a high-wait latency scenario
- Project 8: Creating a capacity plan using AWR baseline analysis
- Project 9: Configuring automated backup and restore validation
- Project 10: Tuning parallel execution for a data warehouse ETL job
- Documentation requirements for each implementation
- Peer review criteria for best practices validation
- Self-assessment rubrics for performance outcomes
- Submission format for Certificate of Completion eligibility
- Feedback integration from guided review checklists
Module 15: Career Advancement and Certification Pathways - How to position Exadata expertise on your CV and LinkedIn
- Crafting technical narratives for promotion and leadership roles
- Highlighting ROI-driven results from your hands-on projects
- Preparing for Exadata-focused technical interviews
- Common certification paths: Oracle Certified Professional (OCP)
- Oracle Expert Exadata Administration certification roadmap
- Continuing education with Oracle University recommendations
- Joining Exadata user groups and professional networks
- Presenting case studies at internal and industry events
- Mentoring junior DBAs using your Exadata mastery
- Building a personal brand as a high-performance data specialist
- Negotiating compensation based on certified skill differentiation
- Leveraging The Art of Service certificate in performance reviews
- Access to exclusive alumni resources and updates
- Path to instructor or consultant roles in Exadata performance
- RMAN architecture optimisations for Exadata
- Configuring RMAN for channel allocation across cluster nodes
- Using backup offload to reduce database node I/O
- Image copy versus incremental backup trade-offs
- FRA (Fast Recovery Area) sizing for Exadata workloads
- Recovery scenarios: instance, media, and complete database
- Testing backup integrity using RESTORE VALIDATE
- Duplicate database creation for UAT and reporting
- Using RMAN with Oracle Secure Backup (OSB)
- Integration with NFS-based backup storage targets
- Cloud backup options: Oracle Cloud Infrastructure Object Storage
- Backup compression levels and CPU trade-offs
- Monitoring RMAN progress and performance bottlenecks
- Standby database creation using RMAN DUPLICATE
- Failover and switchover procedures in Data Guard configurations
- Fast Start Failover (FSFO) setup and testing
- Role transit lag monitoring and diagnostic traces
- Using DGMGRL for broker-managed Data Guard
- Snapshot standby for temporary testing environments
Module 10: Exadata Cloud Integration and Hybrid Deployments - Comparing on-premise Exadata with Exadata Cloud Service (ExaCS)
- Migrating databases from on-prem to Oracle Cloud Exadata
- Using Data Pump with network encryption and compression
- Physical migration using RMAN backup to cloud
- Network bandwidth considerations for cloud migrations
- Hybrid workload management: on-prem and cloud coexistence
- Latency optimisation for cross-cloud distributed queries
- Storage auto-scaling in Oracle Cloud Exadata environments
- Monitoring cloud performance using OCI Console and APIs
- Cost optimisation: right-sizing compute shapes and licenses
- Cloud patching and maintenance windows management
- Access control in cloud: IAM roles and policies
- Integration with on-prem identity providers using federation
- Backup strategies for cloud-based Exadata databases
- Disaster recovery between cloud regions
Module 11: Advanced Diagnostics and Performance Auditing - Using ADRCI for centralised trace file management
- Correlating database, ASM, and cell logs for root cause
- Automatic Diagnostic Repository (ADR) structure and navigation
- Incident packaging and upload to Oracle Support
- Hang Analyser (oradebug hanganalyze) for stuck sessions
- Latch and mutex contention analysis in Exadata RAC
- Library cache locking issues and resolution
- Enqueue waits and global deadlock detection
- System state dumps interpretation and filtering
- AWR delta analysis for performance regression tracking
- Baseline creation and comparison for capacity planning
- SQL Performance Analyser (SPA) for change impact testing
- Database Replay for workload simulation and stress testing
- Explain Plan variance detection using SQL Tuning Sets
- Automatic Database Diagnostic Monitor (ADDM) customisation
- Interpreting ADDM findings specific to Exadata bottlenecks
- Using PL/SQL scripts for automated performance checks
Module 12: Exadata for Data Warehousing and Analytics - Optimising bulk loads using Direct Path Insert and SQL*Loader
- Evaluating EHCC compression levels: query, archive, high, low
- Implementing compression for large fact tables and dimension tables
- Index strategies for star schema queries on Exadata
- Bitmapped indexes versus B-tree in analytical workloads
- Materialised views and their refresh strategies
- Fast refresh mechanisms using materialised view logs
- Partitioning strategies: range, list, hash, and composite
- Partition pruning effectiveness verification
- Indexing partitioned tables for query efficiency
- Parallel execution tuning for analytical queries
- DOP (Degree of Parallelism) management and auto DOP
- Parallel statement queuing to avoid resource exhaustion
- Using PQ hints strategically without overloading cells
- Monitoring parallel server sets and instance groups
- Adaptive execution plans in Exadata analytical environments
- Handling skew in parallel execution
Module 13: Machine Learning and Automation in Exadata Management - Introduction to Oracle Autonomous Database and its Exadata foundation
- Automated indexing: evaluation, implementation, and rollback
- Automatic SQL Tuning Advisor in Exadata settings
- ML-based performance predictions using Oracle Diagnostics
- Implementing SQL Plan Management with evolving workloads
- Automated statistics gathering: schedules and thresholds
- Handling stale object detection and automatic refresh
- Using Oracle Enterprise Manager for Exadata monitoring
- Cloud Control metrics and dashboards for proactive alerts
- Creating custom composite monitoring templates
- Threshold-based alerting for I/O, CPU, and memory
- Automated job scheduling with Oracle Scheduler
- Script automation using DBMS_JOB and PL/SQL wrappers
- Integration with third-party monitoring tools via APIs
- Automated schema refresh for non-production environments
Module 14: Certified Hands-On Implementation Projects - Project 1: Full Exadata performance audit from AWR and cell metrics
- Project 2: Redesigning I/O resource plans using IORM
- Project 3: Migrating a production database with RMAN to Exadata
- Project 4: Implementing EHCC compression on a large transaction table
- Project 5: Optimising a slow analytical query using Smart Scans
- Project 6: Setting up Data Guard with Fast Start Failover
- Project 7: Diagnosing and resolving a high-wait latency scenario
- Project 8: Creating a capacity plan using AWR baseline analysis
- Project 9: Configuring automated backup and restore validation
- Project 10: Tuning parallel execution for a data warehouse ETL job
- Documentation requirements for each implementation
- Peer review criteria for best practices validation
- Self-assessment rubrics for performance outcomes
- Submission format for Certificate of Completion eligibility
- Feedback integration from guided review checklists
Module 15: Career Advancement and Certification Pathways - How to position Exadata expertise on your CV and LinkedIn
- Crafting technical narratives for promotion and leadership roles
- Highlighting ROI-driven results from your hands-on projects
- Preparing for Exadata-focused technical interviews
- Common certification paths: Oracle Certified Professional (OCP)
- Oracle Expert Exadata Administration certification roadmap
- Continuing education with Oracle University recommendations
- Joining Exadata user groups and professional networks
- Presenting case studies at internal and industry events
- Mentoring junior DBAs using your Exadata mastery
- Building a personal brand as a high-performance data specialist
- Negotiating compensation based on certified skill differentiation
- Leveraging The Art of Service certificate in performance reviews
- Access to exclusive alumni resources and updates
- Path to instructor or consultant roles in Exadata performance
- Using ADRCI for centralised trace file management
- Correlating database, ASM, and cell logs for root cause
- Automatic Diagnostic Repository (ADR) structure and navigation
- Incident packaging and upload to Oracle Support
- Hang Analyser (oradebug hanganalyze) for stuck sessions
- Latch and mutex contention analysis in Exadata RAC
- Library cache locking issues and resolution
- Enqueue waits and global deadlock detection
- System state dumps interpretation and filtering
- AWR delta analysis for performance regression tracking
- Baseline creation and comparison for capacity planning
- SQL Performance Analyser (SPA) for change impact testing
- Database Replay for workload simulation and stress testing
- Explain Plan variance detection using SQL Tuning Sets
- Automatic Database Diagnostic Monitor (ADDM) customisation
- Interpreting ADDM findings specific to Exadata bottlenecks
- Using PL/SQL scripts for automated performance checks
Module 12: Exadata for Data Warehousing and Analytics - Optimising bulk loads using Direct Path Insert and SQL*Loader
- Evaluating EHCC compression levels: query, archive, high, low
- Implementing compression for large fact tables and dimension tables
- Index strategies for star schema queries on Exadata
- Bitmapped indexes versus B-tree in analytical workloads
- Materialised views and their refresh strategies
- Fast refresh mechanisms using materialised view logs
- Partitioning strategies: range, list, hash, and composite
- Partition pruning effectiveness verification
- Indexing partitioned tables for query efficiency
- Parallel execution tuning for analytical queries
- DOP (Degree of Parallelism) management and auto DOP
- Parallel statement queuing to avoid resource exhaustion
- Using PQ hints strategically without overloading cells
- Monitoring parallel server sets and instance groups
- Adaptive execution plans in Exadata analytical environments
- Handling skew in parallel execution
Module 13: Machine Learning and Automation in Exadata Management - Introduction to Oracle Autonomous Database and its Exadata foundation
- Automated indexing: evaluation, implementation, and rollback
- Automatic SQL Tuning Advisor in Exadata settings
- ML-based performance predictions using Oracle Diagnostics
- Implementing SQL Plan Management with evolving workloads
- Automated statistics gathering: schedules and thresholds
- Handling stale object detection and automatic refresh
- Using Oracle Enterprise Manager for Exadata monitoring
- Cloud Control metrics and dashboards for proactive alerts
- Creating custom composite monitoring templates
- Threshold-based alerting for I/O, CPU, and memory
- Automated job scheduling with Oracle Scheduler
- Script automation using DBMS_JOB and PL/SQL wrappers
- Integration with third-party monitoring tools via APIs
- Automated schema refresh for non-production environments
Module 14: Certified Hands-On Implementation Projects - Project 1: Full Exadata performance audit from AWR and cell metrics
- Project 2: Redesigning I/O resource plans using IORM
- Project 3: Migrating a production database with RMAN to Exadata
- Project 4: Implementing EHCC compression on a large transaction table
- Project 5: Optimising a slow analytical query using Smart Scans
- Project 6: Setting up Data Guard with Fast Start Failover
- Project 7: Diagnosing and resolving a high-wait latency scenario
- Project 8: Creating a capacity plan using AWR baseline analysis
- Project 9: Configuring automated backup and restore validation
- Project 10: Tuning parallel execution for a data warehouse ETL job
- Documentation requirements for each implementation
- Peer review criteria for best practices validation
- Self-assessment rubrics for performance outcomes
- Submission format for Certificate of Completion eligibility
- Feedback integration from guided review checklists
Module 15: Career Advancement and Certification Pathways - How to position Exadata expertise on your CV and LinkedIn
- Crafting technical narratives for promotion and leadership roles
- Highlighting ROI-driven results from your hands-on projects
- Preparing for Exadata-focused technical interviews
- Common certification paths: Oracle Certified Professional (OCP)
- Oracle Expert Exadata Administration certification roadmap
- Continuing education with Oracle University recommendations
- Joining Exadata user groups and professional networks
- Presenting case studies at internal and industry events
- Mentoring junior DBAs using your Exadata mastery
- Building a personal brand as a high-performance data specialist
- Negotiating compensation based on certified skill differentiation
- Leveraging The Art of Service certificate in performance reviews
- Access to exclusive alumni resources and updates
- Path to instructor or consultant roles in Exadata performance
- Introduction to Oracle Autonomous Database and its Exadata foundation
- Automated indexing: evaluation, implementation, and rollback
- Automatic SQL Tuning Advisor in Exadata settings
- ML-based performance predictions using Oracle Diagnostics
- Implementing SQL Plan Management with evolving workloads
- Automated statistics gathering: schedules and thresholds
- Handling stale object detection and automatic refresh
- Using Oracle Enterprise Manager for Exadata monitoring
- Cloud Control metrics and dashboards for proactive alerts
- Creating custom composite monitoring templates
- Threshold-based alerting for I/O, CPU, and memory
- Automated job scheduling with Oracle Scheduler
- Script automation using DBMS_JOB and PL/SQL wrappers
- Integration with third-party monitoring tools via APIs
- Automated schema refresh for non-production environments
Module 14: Certified Hands-On Implementation Projects - Project 1: Full Exadata performance audit from AWR and cell metrics
- Project 2: Redesigning I/O resource plans using IORM
- Project 3: Migrating a production database with RMAN to Exadata
- Project 4: Implementing EHCC compression on a large transaction table
- Project 5: Optimising a slow analytical query using Smart Scans
- Project 6: Setting up Data Guard with Fast Start Failover
- Project 7: Diagnosing and resolving a high-wait latency scenario
- Project 8: Creating a capacity plan using AWR baseline analysis
- Project 9: Configuring automated backup and restore validation
- Project 10: Tuning parallel execution for a data warehouse ETL job
- Documentation requirements for each implementation
- Peer review criteria for best practices validation
- Self-assessment rubrics for performance outcomes
- Submission format for Certificate of Completion eligibility
- Feedback integration from guided review checklists
Module 15: Career Advancement and Certification Pathways - How to position Exadata expertise on your CV and LinkedIn
- Crafting technical narratives for promotion and leadership roles
- Highlighting ROI-driven results from your hands-on projects
- Preparing for Exadata-focused technical interviews
- Common certification paths: Oracle Certified Professional (OCP)
- Oracle Expert Exadata Administration certification roadmap
- Continuing education with Oracle University recommendations
- Joining Exadata user groups and professional networks
- Presenting case studies at internal and industry events
- Mentoring junior DBAs using your Exadata mastery
- Building a personal brand as a high-performance data specialist
- Negotiating compensation based on certified skill differentiation
- Leveraging The Art of Service certificate in performance reviews
- Access to exclusive alumni resources and updates
- Path to instructor or consultant roles in Exadata performance
- How to position Exadata expertise on your CV and LinkedIn
- Crafting technical narratives for promotion and leadership roles
- Highlighting ROI-driven results from your hands-on projects
- Preparing for Exadata-focused technical interviews
- Common certification paths: Oracle Certified Professional (OCP)
- Oracle Expert Exadata Administration certification roadmap
- Continuing education with Oracle University recommendations
- Joining Exadata user groups and professional networks
- Presenting case studies at internal and industry events
- Mentoring junior DBAs using your Exadata mastery
- Building a personal brand as a high-performance data specialist
- Negotiating compensation based on certified skill differentiation
- Leveraging The Art of Service certificate in performance reviews
- Access to exclusive alumni resources and updates
- Path to instructor or consultant roles in Exadata performance