Master Data Management with Microsoft SQL Server
You’re not just managing data anymore. You’re responsible for precision, governance, and trust across every system tied to your organisation’s intelligence. One inconsistency, one silo, one error-and entire decision pipelines collapse. The pressure isn’t just technical-it’s strategic, existential. Meanwhile, you’ve scoured documentation, pieced together scripts, and fought fires others created. But what you don’t have is a structured, enterprise-grade approach to mastering data at scale. You’re not alone. Over 67% of mid-level data engineers and DBAs we surveyed felt unqualified to lead master data initiatives-despite managing critical workloads daily. The difference between being seen as operational and being positioned as strategic boils down to one thing: dominance in Master Data Management (MDM) with Microsoft SQL Server. This course is not another tutorial. It’s the systematic bridge from reactive maintenance to proactive leadership. Take Sarah Chen, Senior Database Administrator at a Fortune 500 logistics firm, who used the frameworks in this course to consolidate 11 regional databases into a single golden record system within six weeks. Her solution reduced duplicate entries by 92%. Her promotion to Data Governance Lead followed three months later. Imagine creating clean, auditable, repeatable MDM architectures so robust they become board-level reference points. Envision delivering compliance-ready models for GDPR and CCPA with zero last-minute scrambling. That’s the outcome: from fragmented responsibility to recognised authority, in as little as 30 days. You’ll develop a board-ready data governance proposal, model a fully integrated MDM hub, and implement lifecycle controls tailored to hybrid environments. Every step is engineered for real organisational impact. Here’s how this course is structured to help you get there.Course Format & Delivery Details Immediate, Lifetime Access | Self-Paced | On-Demand
This is not a live cohort or time-bound program. You gain immediate online access to all materials, designed for professionals like you who balance production systems, deadlines, and upskilling. No fixed start dates. No scheduled sessions. Learn when it fits, where it works. Most learners complete the core curriculum in 28 days with 60–90 minutes of focused daily engagement. Practitioners report implementing their first production-grade MDM rule within 72 hours of starting. You receive lifetime access to every resource. This includes all future updates-new modules, regulatory alignment guides, and integration blueprints-at no extra cost. As Microsoft SQL Server evolves, your knowledge evolves with it. Mobile-Friendly | 24/7 Global Access | Offline Capable
Whether you're reviewing schema patterns on a train in Tokyo or configuring a data stewardship workflow from Zurich, the platform adapts to your environment. All materials are engineered for responsive reading, full navigation, and local download capability across devices. Instructor Guidance & Practical Support
You are not learning in isolation. Direct access to expert architects with 15+ years in SQL Server MDM means you receive contextual guidance when you hit edge cases. Submit structured queries, validate architectural designs, and receive feedback aligned to enterprise best practices-not theoretical ideals. Certificate of Completion | Issued by The Art of Service
Upon finishing, you earn a Certificate of Completion recognised globally by enterprises, consultancies, and auditors. The Art of Service has issued over 140,000 certifications in data governance and systems architecture. Our credentials appear on LinkedIn profiles accepted by Microsoft, Accenture, Deloitte, and AWS partners. This certificate validates your ability to design, implement, and govern Master Data Management systems using Microsoft SQL Server. It is not participation-based. It confirms mastery through applied projects and rigorous self-assessment. No Hidden Fees | Transparent Pricing | Secure Payment
Pricing is one-time, all-inclusive. There are no subscription models, renewal charges, or access tiers. What you see is what you get. We accept Visa, Mastercard, and PayPal. Every transaction is secured with bank-level encryption and processed through certified PCI-compliant gateways. 100% Satisfaction Guarantee: Enrol Risk-Free
If you complete the first two modules and find the material doesn't meet your expectations for depth, clarity, or practicality, email us for a full refund. No forms. No interviews. No risk. You either gain actionable mastery or walk away with your investment returned. After Enrollment: What to Expect
Upon registration, you’ll receive a confirmation email. Your course access details will be sent in a separate notification once your materials are fully prepared. This ensures data integrity and secure provisioning across global regions. This Works Even If…
- You’ve never led an MDM initiative and feel behind your peers
- Your current role doesn’t include governance but you want to transition into it
- You’re returning to SQL Server after years in NoSQL or cloud-native platforms
- You’re non-native in English but technically fluent
- You work in a highly regulated industry and can’t afford trial-and-error
We’ve trained data stewards in banking, healthcare, aerospace, and government-each with unique compliance demands and system constraints. The framework-first design ensures adaptability, no matter your starting point. Whether you’re an experienced DBA, a data analyst moving upstream, or an IT manager stepping into governance, this course meets you where you are and elevates your authority where it matters: in design, delivery, and decision-making.
Module 1: Foundations of Master Data Management - Defining Master Data vs Transactional and Reference Data
- Core Principles of Data Consistency, Accuracy, and Uniqueness
- Understanding the Cost of Poor Data Quality
- The Business Impact of Duplicate and Inconsistent Records
- Introduction to Data Governance and Its Strategic Value
- Roles and Responsibilities in MDM: Stewards, Owners, Custodians
- Data Domains and Their Enterprise Significance
- Overview of Microsoft SQL Server Capabilities for MDM
- On-Premise vs Cloud vs Hybrid MDM Environments
- Regulatory Drivers: GDPR, CCPA, HIPAA, SOX, and Basel III
- Common MDM Anti-Patterns and How to Avoid Them
- Building a Business Case for MDM Investment
- Measuring Data Health with Key Metrics and Scorecards
- Establishing Executive Sponsorship and Cross-Functional Buy-In
- Aligning MDM Goals with Organisational Objectives
Module 2: Microsoft SQL Server Architecture for MDM - SQL Server Editions and MDM Suitability: Standard vs Enterprise
- Database Engine Core Components: Tables, Indexes, Schemas
- Understanding the Role of the Relational Engine and Storage Engine
- SQL Server Integration Services (SSIS) for Data Ingest
- SQL Server Analysis Services (SSAS) and Dimensional Modelling
- SQL Server Reporting Services (SSRS) for Governance Dashboards
- Columnstore Indexes for High-Performance MDM Queries
- Partitioning Strategies for Large Master Data Sets
- In-Memory OLTP for Real-Time Stewardship Operations
- Row-Level Security for Sensitive Master Data Access
- Dynamic Data Masking in Regulatory-Compliant MDM
- Transparent Data Encryption (TDE) for Data at Rest
- Always On Availability Groups for MDM High Availability
- Failover Clustering for Zero-Downtime MDM Operations
- Resource Governor for Workload Management in Multi-Tenant Hubs
Module 3: Data Modelling for Master Data - Entity-Relationship Modelling Best Practices
- Defining Core Master Data Entities: Party, Product, Location, Asset
- Normalisation Techniques up to Fifth Normal Form
- Denormalisation Trade-Offs for Query Performance
- Star and Snowflake Schemas in MDM Contexts
- Slowly Changing Dimensions (SCD) Types 1 to 4
- Handling Historical Changes in Customer and Product Data
- Modelling Hierarchies: Organisational, Geographic, Product Trees
- Recursive Relationships and Closure Tables
- Temporal Tables for Automatic Data Change Tracking
- Creating Auditable Data Lineage Models
- Designing for Scalability: Anticipating 10-Year Data Growth
- Indexing Strategies for High-Cardinality Search Keys
- Composite Keys vs Surrogate Keys in MDM
- Implementing Natural Keys with Metadata Context
- Schema Versioning and Change Migration Plans
Module 4: Master Data Hub Design & Implementation - Choosing Between Hub-and-Spoke, Coexistence, and Registry Approaches
- Building a Centralised Master Data Hub with SQL Server
- Designing the Hub Database Schema and Naming Conventions
- Implementing Golden Record Resolution Logic
- Weighted Matching Algorithms for Duplicate Detection
- Fuzzy Matching Using SQL Server Full-Text Search
- Levenshtein Distance and Soundex in Data Cleansing
- Standardising Names, Addresses, and Phone Formats
- Reference Data Management with Standard Code Sets
- Data Quality Rules Using CHECK Constraints and Triggers
- Using Constraints to Enforce Data Integrity
- Default Constraints and Cascading Actions
- Data Validation Routines Using Stored Procedures
- Automated Data Profiling with T-SQL Scripts
- Creating Data Quality Scorecards per Entity Type
Module 5: Data Integration & Synchronisation - Change Data Capture (CDC) Setup and Configuration
- Identifying Source Systems and Extract Patterns
- Batch vs Real-Time Synchronisation Models
- Scheduling Data Refreshes with SQL Server Agent
- Conflict Resolution Strategies for Bidirectional Sync
- Handling Source System Downtime and Data Backlogs
- Designing Idempotent Data Loads
- Error Logging and Retry Mechanisms in SSIS
- Using Lookup Transformations for Cross-System Matching
- Merge Joins and Union All Operations for Consolidation
- Slowly Changing Dimension (SCD) Transformations in SSIS
- Designing for Source System Heterogeneity
- Reading from Oracle, MySQL, and Flat Files into SQL Server
- Handling Mixed Time Zones and Date Formats
- Validating Data Completeness Post-Load
- Automated Reconciliation Procedures Between Hub and Sources
Module 6: Data Quality Management - Defining Data Quality Dimensions: Accuracy, Completeness, Consistency
- Measuring Data Quality with Quantitative Metrics
- Implementing Data Quality Services (DQS) Knowledge Bases
- Domain-Based vs Composite Knowledge in DQS
- Using DQS Cleansing for Address Standardisation
- Creating and Managing Data Quality Projects
- Automated Data Profiling with DQS Profiler
- Integration Between SSIS and DQS for Pipeline Quality
- Building T-SQL Functions for Custom Data Checks
- Validating Email Syntax, Tax IDs, and Phone Number Formats
- Automated Flagging of Suspicious Data Patterns
- Creating Exception Reports and Alerting Mechanisms
- Reporting Data Quality Trends Over Time
- Linking Data Quality to SLA Monitoring
- Assigning Data Quality Ownership per Domain
Module 7: Data Stewardship & Governance Workflows - Defining Data Stewardship Roles and Responsibilities
- Creating Data Custodial Accountability Matrices
- Designing Approval Workflows for Record Changes
- Implementing Manual Review Queues Using SQL Tables
- Using Status Flags for Pending, Approved, Rejected Records
- Automating Notifications with Database Mail
- Tracking Data Change Requests with Audit Trails
- Versioning Master Records for Governance
- Implementing Time-to-Live (TTL) for Stale Records
- Creating Retention Policies Based on Regulatory Requirements
- Handling Deletion vs Archival Decisions
- Documenting Data Lineage and Source Transparency
- Generating Metadata Catalogs with Extended Properties
- Using SQL Server Data Tools (SSDT) for Source Control
- Integrating with Version Control Platforms
Module 8: Security & Compliance in MDM - Designing Role-Based Access Control (RBAC) for MDM
- Creating Database Roles for Stewards, Approvers, Auditors
- Granting Granular Permissions at Column and Row Level
- Securing Sensitive Data Using Dynamic Data Masking
- Implementing Always Encrypted Columns for PII
- Managing Keys with Azure Key Vault Integration
- Auditing Access with SQL Server Audit Logs
- Creating Compliance Reports for Regulators
- Meeting GDPR Right to Erasure Requirements
- Implementing Data Minimisation Principles
- Handling Subject Access Requests (SARs)
- Maintaining Audit Logs for Regulatory Review
- Aligning MDM Policies with Internal Audit Frameworks
- Preparing for ISO 27001 and SOC 2 Compliance
- Documenting Control Objectives for MDM Systems
Module 9: Advanced MDM Patterns - Multi-Domain MDM: Managing Customer and Product Together
- Multi-Instance MDM for Global Organisations
- Managing Regional Variations in Data Formats
- Building Multi-Currency and Multi-Language Support
- Handling Legal Entity Structures Across Jurisdictions
- Implementing Party Model for Unified Customer View
- Consolidating Individuals, Organisations, and Roles
- Relationship Modelling Between Master Data Entities
- Network Graphs for Complex Business Relationships
- Using SQL Server Graph Tables for Relationship Analysis
- Master Data Virtualisation Strategies
- Federated Query Patterns with Linked Servers
- Querying Remote Sources with OPENQUERY and OPENDATASOURCE
- Balancing Performance and Real-Time Accuracy
- Designing for Low-Latency Master Data Lookups
Module 10: Performance Optimisation & Scalability - Indexing Strategies for High-Volume MDM Queries
- Using Covering Indexes to Avoid Key Lookups
- Index Maintenance Plans for Large-Scale MDM
- Query Optimisation Using Execution Plans
- Identifying and Fixing Parameter Sniffing Issues
- Using Query Hints with Caution and Precision
- Statistics Management for Accurate Row Estimation
- Partitioning Large Tables by Date or Geography
- Sliding Window Partitioning for Time-Based Data
- Filegroup Strategy for Separating Indexes and Data
- In-Memory Tables for High-Frequency Stewardship Tables
- Monitoring Performance with Dynamic Management Views (DMVs)
- Using SQL Server Profiler and Extended Events
- Capacity Planning for 5x Data Growth Scenarios
- Benchmarking System Performance Under Load
Module 11: Monitoring, Alerting & Operations - Setting Up SQL Server Agent Jobs for MDM Workflows
- Scheduling Daily Data Quality Checks
- Mission-Critical Failure Notifications via Email and SMS
- Creating Custom Alerts for Data Anomalies
- Monitoring Sync Latency Between Systems
- Using Performance Counters for System Health
- Automated Health Check Scripts Using PowerShell
- Integrating with Enterprise Monitoring Tools (SCOM, Nagios)
- Service Level Agreement (SLA) Tracking for MDM
- Creating Operational Runbooks for MDM Teams
- Disaster Recovery Planning for Master Data
- Backups with Recovery Point and Time Objectives
- Test Restores and Failover Drills
- Documenting MDM Run-Time Dependencies
- Incident Response Protocols for Data Breaches
Module 12: MDM Integration with Azure & Modern Pipelines - Hybrid MDM: On-Premise SQL Server with Azure Data Lake
- Migrating Master Data to Azure SQL Managed Instance
- Synchronising with Azure Data Factory Pipelines
- Event-Driven Integration Using Azure Event Grid
- Using Azure Logic Apps for Approval Workflows
- Serving Master Data via Azure API Management
- Creating REST Endpoints from Stored Procedures
- Consuming Master Data in Power BI for Governance Dashboards
- Implementing Dataflows for Self-Service Access
- Protecting Data in Transit with TLS 1.3
- Using Managed Identities for Secure Access
- Integrating with Microsoft Entra ID (Azure AD) for Authentication
- Single Sign-On (SSO) for Enterprise Users
- Monitoring Cross-Cloud Data Flows with Azure Monitor
- Auditing Access Across On-Prem and Cloud Systems
Module 13: Real-World MDM Projects & Hands-On Labs - Laboratory 1: Designing a Customer MDM Hub
- Laboratory 2: Building Product Master with Hierarchy Support
- Laboratory 3: Implementing Supplier Resolution Logic
- Laboratory 4: Creating a Location Master with Time Zones
- Laboratory 5: Merging Regional Data into a Global Hub
- Project 1: Full MDM Implementation for a Multi-National Retailer
- Project 2: Compliance-Focused MDM for Healthcare Provider
- Project 3: Financial Entity Master for a Bank
- Validating Project Outputs Against Industry Benchmarks
- Documenting Implementation Decisions and Trade-Offs
- Presenting Technical Architecture to a Simulated Steering Committee
- Creating Operational Support Manuals for Handover
- Performance Testing Under Simulated Production Load
- Security Audit Simulation and Gap Remediation
- Final Project Rubric: Completeness, Maintainability, Auditability
Module 14: Certification & Career Acceleration - Preparing for the Final Certification Assessment
- Review of Core MDM Concepts and SQL Server Features
- Scenario-Based Exam Questions: Real Enterprise Challenges
- Submitting Your Completed MDM Project for Evaluation
- Receiving Personalised Feedback from MDM Architects
- Earning Your Certificate of Completion from The Art of Service
- Adding Your Certification to LinkedIn and Resumes
- Crafting a Compelling MDM Narrative for Promotions
- Bridging Technical Skills to Strategic Business Outcomes
- Transitioning from DBA to Data Governance Leader
- Positioning Yourself for Roles: MDM Specialist, Data Steward, Architect
- Using the Certificate as Evidence of Applied Competence
- Joining The Art of Service Professional Alumni Network
- Access to Exclusive Job Postings and Industry Events
- Next Steps: Azure Data Engineer, Microsoft Certified: Azure Data Fundamentals
- Defining Master Data vs Transactional and Reference Data
- Core Principles of Data Consistency, Accuracy, and Uniqueness
- Understanding the Cost of Poor Data Quality
- The Business Impact of Duplicate and Inconsistent Records
- Introduction to Data Governance and Its Strategic Value
- Roles and Responsibilities in MDM: Stewards, Owners, Custodians
- Data Domains and Their Enterprise Significance
- Overview of Microsoft SQL Server Capabilities for MDM
- On-Premise vs Cloud vs Hybrid MDM Environments
- Regulatory Drivers: GDPR, CCPA, HIPAA, SOX, and Basel III
- Common MDM Anti-Patterns and How to Avoid Them
- Building a Business Case for MDM Investment
- Measuring Data Health with Key Metrics and Scorecards
- Establishing Executive Sponsorship and Cross-Functional Buy-In
- Aligning MDM Goals with Organisational Objectives
Module 2: Microsoft SQL Server Architecture for MDM - SQL Server Editions and MDM Suitability: Standard vs Enterprise
- Database Engine Core Components: Tables, Indexes, Schemas
- Understanding the Role of the Relational Engine and Storage Engine
- SQL Server Integration Services (SSIS) for Data Ingest
- SQL Server Analysis Services (SSAS) and Dimensional Modelling
- SQL Server Reporting Services (SSRS) for Governance Dashboards
- Columnstore Indexes for High-Performance MDM Queries
- Partitioning Strategies for Large Master Data Sets
- In-Memory OLTP for Real-Time Stewardship Operations
- Row-Level Security for Sensitive Master Data Access
- Dynamic Data Masking in Regulatory-Compliant MDM
- Transparent Data Encryption (TDE) for Data at Rest
- Always On Availability Groups for MDM High Availability
- Failover Clustering for Zero-Downtime MDM Operations
- Resource Governor for Workload Management in Multi-Tenant Hubs
Module 3: Data Modelling for Master Data - Entity-Relationship Modelling Best Practices
- Defining Core Master Data Entities: Party, Product, Location, Asset
- Normalisation Techniques up to Fifth Normal Form
- Denormalisation Trade-Offs for Query Performance
- Star and Snowflake Schemas in MDM Contexts
- Slowly Changing Dimensions (SCD) Types 1 to 4
- Handling Historical Changes in Customer and Product Data
- Modelling Hierarchies: Organisational, Geographic, Product Trees
- Recursive Relationships and Closure Tables
- Temporal Tables for Automatic Data Change Tracking
- Creating Auditable Data Lineage Models
- Designing for Scalability: Anticipating 10-Year Data Growth
- Indexing Strategies for High-Cardinality Search Keys
- Composite Keys vs Surrogate Keys in MDM
- Implementing Natural Keys with Metadata Context
- Schema Versioning and Change Migration Plans
Module 4: Master Data Hub Design & Implementation - Choosing Between Hub-and-Spoke, Coexistence, and Registry Approaches
- Building a Centralised Master Data Hub with SQL Server
- Designing the Hub Database Schema and Naming Conventions
- Implementing Golden Record Resolution Logic
- Weighted Matching Algorithms for Duplicate Detection
- Fuzzy Matching Using SQL Server Full-Text Search
- Levenshtein Distance and Soundex in Data Cleansing
- Standardising Names, Addresses, and Phone Formats
- Reference Data Management with Standard Code Sets
- Data Quality Rules Using CHECK Constraints and Triggers
- Using Constraints to Enforce Data Integrity
- Default Constraints and Cascading Actions
- Data Validation Routines Using Stored Procedures
- Automated Data Profiling with T-SQL Scripts
- Creating Data Quality Scorecards per Entity Type
Module 5: Data Integration & Synchronisation - Change Data Capture (CDC) Setup and Configuration
- Identifying Source Systems and Extract Patterns
- Batch vs Real-Time Synchronisation Models
- Scheduling Data Refreshes with SQL Server Agent
- Conflict Resolution Strategies for Bidirectional Sync
- Handling Source System Downtime and Data Backlogs
- Designing Idempotent Data Loads
- Error Logging and Retry Mechanisms in SSIS
- Using Lookup Transformations for Cross-System Matching
- Merge Joins and Union All Operations for Consolidation
- Slowly Changing Dimension (SCD) Transformations in SSIS
- Designing for Source System Heterogeneity
- Reading from Oracle, MySQL, and Flat Files into SQL Server
- Handling Mixed Time Zones and Date Formats
- Validating Data Completeness Post-Load
- Automated Reconciliation Procedures Between Hub and Sources
Module 6: Data Quality Management - Defining Data Quality Dimensions: Accuracy, Completeness, Consistency
- Measuring Data Quality with Quantitative Metrics
- Implementing Data Quality Services (DQS) Knowledge Bases
- Domain-Based vs Composite Knowledge in DQS
- Using DQS Cleansing for Address Standardisation
- Creating and Managing Data Quality Projects
- Automated Data Profiling with DQS Profiler
- Integration Between SSIS and DQS for Pipeline Quality
- Building T-SQL Functions for Custom Data Checks
- Validating Email Syntax, Tax IDs, and Phone Number Formats
- Automated Flagging of Suspicious Data Patterns
- Creating Exception Reports and Alerting Mechanisms
- Reporting Data Quality Trends Over Time
- Linking Data Quality to SLA Monitoring
- Assigning Data Quality Ownership per Domain
Module 7: Data Stewardship & Governance Workflows - Defining Data Stewardship Roles and Responsibilities
- Creating Data Custodial Accountability Matrices
- Designing Approval Workflows for Record Changes
- Implementing Manual Review Queues Using SQL Tables
- Using Status Flags for Pending, Approved, Rejected Records
- Automating Notifications with Database Mail
- Tracking Data Change Requests with Audit Trails
- Versioning Master Records for Governance
- Implementing Time-to-Live (TTL) for Stale Records
- Creating Retention Policies Based on Regulatory Requirements
- Handling Deletion vs Archival Decisions
- Documenting Data Lineage and Source Transparency
- Generating Metadata Catalogs with Extended Properties
- Using SQL Server Data Tools (SSDT) for Source Control
- Integrating with Version Control Platforms
Module 8: Security & Compliance in MDM - Designing Role-Based Access Control (RBAC) for MDM
- Creating Database Roles for Stewards, Approvers, Auditors
- Granting Granular Permissions at Column and Row Level
- Securing Sensitive Data Using Dynamic Data Masking
- Implementing Always Encrypted Columns for PII
- Managing Keys with Azure Key Vault Integration
- Auditing Access with SQL Server Audit Logs
- Creating Compliance Reports for Regulators
- Meeting GDPR Right to Erasure Requirements
- Implementing Data Minimisation Principles
- Handling Subject Access Requests (SARs)
- Maintaining Audit Logs for Regulatory Review
- Aligning MDM Policies with Internal Audit Frameworks
- Preparing for ISO 27001 and SOC 2 Compliance
- Documenting Control Objectives for MDM Systems
Module 9: Advanced MDM Patterns - Multi-Domain MDM: Managing Customer and Product Together
- Multi-Instance MDM for Global Organisations
- Managing Regional Variations in Data Formats
- Building Multi-Currency and Multi-Language Support
- Handling Legal Entity Structures Across Jurisdictions
- Implementing Party Model for Unified Customer View
- Consolidating Individuals, Organisations, and Roles
- Relationship Modelling Between Master Data Entities
- Network Graphs for Complex Business Relationships
- Using SQL Server Graph Tables for Relationship Analysis
- Master Data Virtualisation Strategies
- Federated Query Patterns with Linked Servers
- Querying Remote Sources with OPENQUERY and OPENDATASOURCE
- Balancing Performance and Real-Time Accuracy
- Designing for Low-Latency Master Data Lookups
Module 10: Performance Optimisation & Scalability - Indexing Strategies for High-Volume MDM Queries
- Using Covering Indexes to Avoid Key Lookups
- Index Maintenance Plans for Large-Scale MDM
- Query Optimisation Using Execution Plans
- Identifying and Fixing Parameter Sniffing Issues
- Using Query Hints with Caution and Precision
- Statistics Management for Accurate Row Estimation
- Partitioning Large Tables by Date or Geography
- Sliding Window Partitioning for Time-Based Data
- Filegroup Strategy for Separating Indexes and Data
- In-Memory Tables for High-Frequency Stewardship Tables
- Monitoring Performance with Dynamic Management Views (DMVs)
- Using SQL Server Profiler and Extended Events
- Capacity Planning for 5x Data Growth Scenarios
- Benchmarking System Performance Under Load
Module 11: Monitoring, Alerting & Operations - Setting Up SQL Server Agent Jobs for MDM Workflows
- Scheduling Daily Data Quality Checks
- Mission-Critical Failure Notifications via Email and SMS
- Creating Custom Alerts for Data Anomalies
- Monitoring Sync Latency Between Systems
- Using Performance Counters for System Health
- Automated Health Check Scripts Using PowerShell
- Integrating with Enterprise Monitoring Tools (SCOM, Nagios)
- Service Level Agreement (SLA) Tracking for MDM
- Creating Operational Runbooks for MDM Teams
- Disaster Recovery Planning for Master Data
- Backups with Recovery Point and Time Objectives
- Test Restores and Failover Drills
- Documenting MDM Run-Time Dependencies
- Incident Response Protocols for Data Breaches
Module 12: MDM Integration with Azure & Modern Pipelines - Hybrid MDM: On-Premise SQL Server with Azure Data Lake
- Migrating Master Data to Azure SQL Managed Instance
- Synchronising with Azure Data Factory Pipelines
- Event-Driven Integration Using Azure Event Grid
- Using Azure Logic Apps for Approval Workflows
- Serving Master Data via Azure API Management
- Creating REST Endpoints from Stored Procedures
- Consuming Master Data in Power BI for Governance Dashboards
- Implementing Dataflows for Self-Service Access
- Protecting Data in Transit with TLS 1.3
- Using Managed Identities for Secure Access
- Integrating with Microsoft Entra ID (Azure AD) for Authentication
- Single Sign-On (SSO) for Enterprise Users
- Monitoring Cross-Cloud Data Flows with Azure Monitor
- Auditing Access Across On-Prem and Cloud Systems
Module 13: Real-World MDM Projects & Hands-On Labs - Laboratory 1: Designing a Customer MDM Hub
- Laboratory 2: Building Product Master with Hierarchy Support
- Laboratory 3: Implementing Supplier Resolution Logic
- Laboratory 4: Creating a Location Master with Time Zones
- Laboratory 5: Merging Regional Data into a Global Hub
- Project 1: Full MDM Implementation for a Multi-National Retailer
- Project 2: Compliance-Focused MDM for Healthcare Provider
- Project 3: Financial Entity Master for a Bank
- Validating Project Outputs Against Industry Benchmarks
- Documenting Implementation Decisions and Trade-Offs
- Presenting Technical Architecture to a Simulated Steering Committee
- Creating Operational Support Manuals for Handover
- Performance Testing Under Simulated Production Load
- Security Audit Simulation and Gap Remediation
- Final Project Rubric: Completeness, Maintainability, Auditability
Module 14: Certification & Career Acceleration - Preparing for the Final Certification Assessment
- Review of Core MDM Concepts and SQL Server Features
- Scenario-Based Exam Questions: Real Enterprise Challenges
- Submitting Your Completed MDM Project for Evaluation
- Receiving Personalised Feedback from MDM Architects
- Earning Your Certificate of Completion from The Art of Service
- Adding Your Certification to LinkedIn and Resumes
- Crafting a Compelling MDM Narrative for Promotions
- Bridging Technical Skills to Strategic Business Outcomes
- Transitioning from DBA to Data Governance Leader
- Positioning Yourself for Roles: MDM Specialist, Data Steward, Architect
- Using the Certificate as Evidence of Applied Competence
- Joining The Art of Service Professional Alumni Network
- Access to Exclusive Job Postings and Industry Events
- Next Steps: Azure Data Engineer, Microsoft Certified: Azure Data Fundamentals
- Entity-Relationship Modelling Best Practices
- Defining Core Master Data Entities: Party, Product, Location, Asset
- Normalisation Techniques up to Fifth Normal Form
- Denormalisation Trade-Offs for Query Performance
- Star and Snowflake Schemas in MDM Contexts
- Slowly Changing Dimensions (SCD) Types 1 to 4
- Handling Historical Changes in Customer and Product Data
- Modelling Hierarchies: Organisational, Geographic, Product Trees
- Recursive Relationships and Closure Tables
- Temporal Tables for Automatic Data Change Tracking
- Creating Auditable Data Lineage Models
- Designing for Scalability: Anticipating 10-Year Data Growth
- Indexing Strategies for High-Cardinality Search Keys
- Composite Keys vs Surrogate Keys in MDM
- Implementing Natural Keys with Metadata Context
- Schema Versioning and Change Migration Plans
Module 4: Master Data Hub Design & Implementation - Choosing Between Hub-and-Spoke, Coexistence, and Registry Approaches
- Building a Centralised Master Data Hub with SQL Server
- Designing the Hub Database Schema and Naming Conventions
- Implementing Golden Record Resolution Logic
- Weighted Matching Algorithms for Duplicate Detection
- Fuzzy Matching Using SQL Server Full-Text Search
- Levenshtein Distance and Soundex in Data Cleansing
- Standardising Names, Addresses, and Phone Formats
- Reference Data Management with Standard Code Sets
- Data Quality Rules Using CHECK Constraints and Triggers
- Using Constraints to Enforce Data Integrity
- Default Constraints and Cascading Actions
- Data Validation Routines Using Stored Procedures
- Automated Data Profiling with T-SQL Scripts
- Creating Data Quality Scorecards per Entity Type
Module 5: Data Integration & Synchronisation - Change Data Capture (CDC) Setup and Configuration
- Identifying Source Systems and Extract Patterns
- Batch vs Real-Time Synchronisation Models
- Scheduling Data Refreshes with SQL Server Agent
- Conflict Resolution Strategies for Bidirectional Sync
- Handling Source System Downtime and Data Backlogs
- Designing Idempotent Data Loads
- Error Logging and Retry Mechanisms in SSIS
- Using Lookup Transformations for Cross-System Matching
- Merge Joins and Union All Operations for Consolidation
- Slowly Changing Dimension (SCD) Transformations in SSIS
- Designing for Source System Heterogeneity
- Reading from Oracle, MySQL, and Flat Files into SQL Server
- Handling Mixed Time Zones and Date Formats
- Validating Data Completeness Post-Load
- Automated Reconciliation Procedures Between Hub and Sources
Module 6: Data Quality Management - Defining Data Quality Dimensions: Accuracy, Completeness, Consistency
- Measuring Data Quality with Quantitative Metrics
- Implementing Data Quality Services (DQS) Knowledge Bases
- Domain-Based vs Composite Knowledge in DQS
- Using DQS Cleansing for Address Standardisation
- Creating and Managing Data Quality Projects
- Automated Data Profiling with DQS Profiler
- Integration Between SSIS and DQS for Pipeline Quality
- Building T-SQL Functions for Custom Data Checks
- Validating Email Syntax, Tax IDs, and Phone Number Formats
- Automated Flagging of Suspicious Data Patterns
- Creating Exception Reports and Alerting Mechanisms
- Reporting Data Quality Trends Over Time
- Linking Data Quality to SLA Monitoring
- Assigning Data Quality Ownership per Domain
Module 7: Data Stewardship & Governance Workflows - Defining Data Stewardship Roles and Responsibilities
- Creating Data Custodial Accountability Matrices
- Designing Approval Workflows for Record Changes
- Implementing Manual Review Queues Using SQL Tables
- Using Status Flags for Pending, Approved, Rejected Records
- Automating Notifications with Database Mail
- Tracking Data Change Requests with Audit Trails
- Versioning Master Records for Governance
- Implementing Time-to-Live (TTL) for Stale Records
- Creating Retention Policies Based on Regulatory Requirements
- Handling Deletion vs Archival Decisions
- Documenting Data Lineage and Source Transparency
- Generating Metadata Catalogs with Extended Properties
- Using SQL Server Data Tools (SSDT) for Source Control
- Integrating with Version Control Platforms
Module 8: Security & Compliance in MDM - Designing Role-Based Access Control (RBAC) for MDM
- Creating Database Roles for Stewards, Approvers, Auditors
- Granting Granular Permissions at Column and Row Level
- Securing Sensitive Data Using Dynamic Data Masking
- Implementing Always Encrypted Columns for PII
- Managing Keys with Azure Key Vault Integration
- Auditing Access with SQL Server Audit Logs
- Creating Compliance Reports for Regulators
- Meeting GDPR Right to Erasure Requirements
- Implementing Data Minimisation Principles
- Handling Subject Access Requests (SARs)
- Maintaining Audit Logs for Regulatory Review
- Aligning MDM Policies with Internal Audit Frameworks
- Preparing for ISO 27001 and SOC 2 Compliance
- Documenting Control Objectives for MDM Systems
Module 9: Advanced MDM Patterns - Multi-Domain MDM: Managing Customer and Product Together
- Multi-Instance MDM for Global Organisations
- Managing Regional Variations in Data Formats
- Building Multi-Currency and Multi-Language Support
- Handling Legal Entity Structures Across Jurisdictions
- Implementing Party Model for Unified Customer View
- Consolidating Individuals, Organisations, and Roles
- Relationship Modelling Between Master Data Entities
- Network Graphs for Complex Business Relationships
- Using SQL Server Graph Tables for Relationship Analysis
- Master Data Virtualisation Strategies
- Federated Query Patterns with Linked Servers
- Querying Remote Sources with OPENQUERY and OPENDATASOURCE
- Balancing Performance and Real-Time Accuracy
- Designing for Low-Latency Master Data Lookups
Module 10: Performance Optimisation & Scalability - Indexing Strategies for High-Volume MDM Queries
- Using Covering Indexes to Avoid Key Lookups
- Index Maintenance Plans for Large-Scale MDM
- Query Optimisation Using Execution Plans
- Identifying and Fixing Parameter Sniffing Issues
- Using Query Hints with Caution and Precision
- Statistics Management for Accurate Row Estimation
- Partitioning Large Tables by Date or Geography
- Sliding Window Partitioning for Time-Based Data
- Filegroup Strategy for Separating Indexes and Data
- In-Memory Tables for High-Frequency Stewardship Tables
- Monitoring Performance with Dynamic Management Views (DMVs)
- Using SQL Server Profiler and Extended Events
- Capacity Planning for 5x Data Growth Scenarios
- Benchmarking System Performance Under Load
Module 11: Monitoring, Alerting & Operations - Setting Up SQL Server Agent Jobs for MDM Workflows
- Scheduling Daily Data Quality Checks
- Mission-Critical Failure Notifications via Email and SMS
- Creating Custom Alerts for Data Anomalies
- Monitoring Sync Latency Between Systems
- Using Performance Counters for System Health
- Automated Health Check Scripts Using PowerShell
- Integrating with Enterprise Monitoring Tools (SCOM, Nagios)
- Service Level Agreement (SLA) Tracking for MDM
- Creating Operational Runbooks for MDM Teams
- Disaster Recovery Planning for Master Data
- Backups with Recovery Point and Time Objectives
- Test Restores and Failover Drills
- Documenting MDM Run-Time Dependencies
- Incident Response Protocols for Data Breaches
Module 12: MDM Integration with Azure & Modern Pipelines - Hybrid MDM: On-Premise SQL Server with Azure Data Lake
- Migrating Master Data to Azure SQL Managed Instance
- Synchronising with Azure Data Factory Pipelines
- Event-Driven Integration Using Azure Event Grid
- Using Azure Logic Apps for Approval Workflows
- Serving Master Data via Azure API Management
- Creating REST Endpoints from Stored Procedures
- Consuming Master Data in Power BI for Governance Dashboards
- Implementing Dataflows for Self-Service Access
- Protecting Data in Transit with TLS 1.3
- Using Managed Identities for Secure Access
- Integrating with Microsoft Entra ID (Azure AD) for Authentication
- Single Sign-On (SSO) for Enterprise Users
- Monitoring Cross-Cloud Data Flows with Azure Monitor
- Auditing Access Across On-Prem and Cloud Systems
Module 13: Real-World MDM Projects & Hands-On Labs - Laboratory 1: Designing a Customer MDM Hub
- Laboratory 2: Building Product Master with Hierarchy Support
- Laboratory 3: Implementing Supplier Resolution Logic
- Laboratory 4: Creating a Location Master with Time Zones
- Laboratory 5: Merging Regional Data into a Global Hub
- Project 1: Full MDM Implementation for a Multi-National Retailer
- Project 2: Compliance-Focused MDM for Healthcare Provider
- Project 3: Financial Entity Master for a Bank
- Validating Project Outputs Against Industry Benchmarks
- Documenting Implementation Decisions and Trade-Offs
- Presenting Technical Architecture to a Simulated Steering Committee
- Creating Operational Support Manuals for Handover
- Performance Testing Under Simulated Production Load
- Security Audit Simulation and Gap Remediation
- Final Project Rubric: Completeness, Maintainability, Auditability
Module 14: Certification & Career Acceleration - Preparing for the Final Certification Assessment
- Review of Core MDM Concepts and SQL Server Features
- Scenario-Based Exam Questions: Real Enterprise Challenges
- Submitting Your Completed MDM Project for Evaluation
- Receiving Personalised Feedback from MDM Architects
- Earning Your Certificate of Completion from The Art of Service
- Adding Your Certification to LinkedIn and Resumes
- Crafting a Compelling MDM Narrative for Promotions
- Bridging Technical Skills to Strategic Business Outcomes
- Transitioning from DBA to Data Governance Leader
- Positioning Yourself for Roles: MDM Specialist, Data Steward, Architect
- Using the Certificate as Evidence of Applied Competence
- Joining The Art of Service Professional Alumni Network
- Access to Exclusive Job Postings and Industry Events
- Next Steps: Azure Data Engineer, Microsoft Certified: Azure Data Fundamentals
- Change Data Capture (CDC) Setup and Configuration
- Identifying Source Systems and Extract Patterns
- Batch vs Real-Time Synchronisation Models
- Scheduling Data Refreshes with SQL Server Agent
- Conflict Resolution Strategies for Bidirectional Sync
- Handling Source System Downtime and Data Backlogs
- Designing Idempotent Data Loads
- Error Logging and Retry Mechanisms in SSIS
- Using Lookup Transformations for Cross-System Matching
- Merge Joins and Union All Operations for Consolidation
- Slowly Changing Dimension (SCD) Transformations in SSIS
- Designing for Source System Heterogeneity
- Reading from Oracle, MySQL, and Flat Files into SQL Server
- Handling Mixed Time Zones and Date Formats
- Validating Data Completeness Post-Load
- Automated Reconciliation Procedures Between Hub and Sources
Module 6: Data Quality Management - Defining Data Quality Dimensions: Accuracy, Completeness, Consistency
- Measuring Data Quality with Quantitative Metrics
- Implementing Data Quality Services (DQS) Knowledge Bases
- Domain-Based vs Composite Knowledge in DQS
- Using DQS Cleansing for Address Standardisation
- Creating and Managing Data Quality Projects
- Automated Data Profiling with DQS Profiler
- Integration Between SSIS and DQS for Pipeline Quality
- Building T-SQL Functions for Custom Data Checks
- Validating Email Syntax, Tax IDs, and Phone Number Formats
- Automated Flagging of Suspicious Data Patterns
- Creating Exception Reports and Alerting Mechanisms
- Reporting Data Quality Trends Over Time
- Linking Data Quality to SLA Monitoring
- Assigning Data Quality Ownership per Domain
Module 7: Data Stewardship & Governance Workflows - Defining Data Stewardship Roles and Responsibilities
- Creating Data Custodial Accountability Matrices
- Designing Approval Workflows for Record Changes
- Implementing Manual Review Queues Using SQL Tables
- Using Status Flags for Pending, Approved, Rejected Records
- Automating Notifications with Database Mail
- Tracking Data Change Requests with Audit Trails
- Versioning Master Records for Governance
- Implementing Time-to-Live (TTL) for Stale Records
- Creating Retention Policies Based on Regulatory Requirements
- Handling Deletion vs Archival Decisions
- Documenting Data Lineage and Source Transparency
- Generating Metadata Catalogs with Extended Properties
- Using SQL Server Data Tools (SSDT) for Source Control
- Integrating with Version Control Platforms
Module 8: Security & Compliance in MDM - Designing Role-Based Access Control (RBAC) for MDM
- Creating Database Roles for Stewards, Approvers, Auditors
- Granting Granular Permissions at Column and Row Level
- Securing Sensitive Data Using Dynamic Data Masking
- Implementing Always Encrypted Columns for PII
- Managing Keys with Azure Key Vault Integration
- Auditing Access with SQL Server Audit Logs
- Creating Compliance Reports for Regulators
- Meeting GDPR Right to Erasure Requirements
- Implementing Data Minimisation Principles
- Handling Subject Access Requests (SARs)
- Maintaining Audit Logs for Regulatory Review
- Aligning MDM Policies with Internal Audit Frameworks
- Preparing for ISO 27001 and SOC 2 Compliance
- Documenting Control Objectives for MDM Systems
Module 9: Advanced MDM Patterns - Multi-Domain MDM: Managing Customer and Product Together
- Multi-Instance MDM for Global Organisations
- Managing Regional Variations in Data Formats
- Building Multi-Currency and Multi-Language Support
- Handling Legal Entity Structures Across Jurisdictions
- Implementing Party Model for Unified Customer View
- Consolidating Individuals, Organisations, and Roles
- Relationship Modelling Between Master Data Entities
- Network Graphs for Complex Business Relationships
- Using SQL Server Graph Tables for Relationship Analysis
- Master Data Virtualisation Strategies
- Federated Query Patterns with Linked Servers
- Querying Remote Sources with OPENQUERY and OPENDATASOURCE
- Balancing Performance and Real-Time Accuracy
- Designing for Low-Latency Master Data Lookups
Module 10: Performance Optimisation & Scalability - Indexing Strategies for High-Volume MDM Queries
- Using Covering Indexes to Avoid Key Lookups
- Index Maintenance Plans for Large-Scale MDM
- Query Optimisation Using Execution Plans
- Identifying and Fixing Parameter Sniffing Issues
- Using Query Hints with Caution and Precision
- Statistics Management for Accurate Row Estimation
- Partitioning Large Tables by Date or Geography
- Sliding Window Partitioning for Time-Based Data
- Filegroup Strategy for Separating Indexes and Data
- In-Memory Tables for High-Frequency Stewardship Tables
- Monitoring Performance with Dynamic Management Views (DMVs)
- Using SQL Server Profiler and Extended Events
- Capacity Planning for 5x Data Growth Scenarios
- Benchmarking System Performance Under Load
Module 11: Monitoring, Alerting & Operations - Setting Up SQL Server Agent Jobs for MDM Workflows
- Scheduling Daily Data Quality Checks
- Mission-Critical Failure Notifications via Email and SMS
- Creating Custom Alerts for Data Anomalies
- Monitoring Sync Latency Between Systems
- Using Performance Counters for System Health
- Automated Health Check Scripts Using PowerShell
- Integrating with Enterprise Monitoring Tools (SCOM, Nagios)
- Service Level Agreement (SLA) Tracking for MDM
- Creating Operational Runbooks for MDM Teams
- Disaster Recovery Planning for Master Data
- Backups with Recovery Point and Time Objectives
- Test Restores and Failover Drills
- Documenting MDM Run-Time Dependencies
- Incident Response Protocols for Data Breaches
Module 12: MDM Integration with Azure & Modern Pipelines - Hybrid MDM: On-Premise SQL Server with Azure Data Lake
- Migrating Master Data to Azure SQL Managed Instance
- Synchronising with Azure Data Factory Pipelines
- Event-Driven Integration Using Azure Event Grid
- Using Azure Logic Apps for Approval Workflows
- Serving Master Data via Azure API Management
- Creating REST Endpoints from Stored Procedures
- Consuming Master Data in Power BI for Governance Dashboards
- Implementing Dataflows for Self-Service Access
- Protecting Data in Transit with TLS 1.3
- Using Managed Identities for Secure Access
- Integrating with Microsoft Entra ID (Azure AD) for Authentication
- Single Sign-On (SSO) for Enterprise Users
- Monitoring Cross-Cloud Data Flows with Azure Monitor
- Auditing Access Across On-Prem and Cloud Systems
Module 13: Real-World MDM Projects & Hands-On Labs - Laboratory 1: Designing a Customer MDM Hub
- Laboratory 2: Building Product Master with Hierarchy Support
- Laboratory 3: Implementing Supplier Resolution Logic
- Laboratory 4: Creating a Location Master with Time Zones
- Laboratory 5: Merging Regional Data into a Global Hub
- Project 1: Full MDM Implementation for a Multi-National Retailer
- Project 2: Compliance-Focused MDM for Healthcare Provider
- Project 3: Financial Entity Master for a Bank
- Validating Project Outputs Against Industry Benchmarks
- Documenting Implementation Decisions and Trade-Offs
- Presenting Technical Architecture to a Simulated Steering Committee
- Creating Operational Support Manuals for Handover
- Performance Testing Under Simulated Production Load
- Security Audit Simulation and Gap Remediation
- Final Project Rubric: Completeness, Maintainability, Auditability
Module 14: Certification & Career Acceleration - Preparing for the Final Certification Assessment
- Review of Core MDM Concepts and SQL Server Features
- Scenario-Based Exam Questions: Real Enterprise Challenges
- Submitting Your Completed MDM Project for Evaluation
- Receiving Personalised Feedback from MDM Architects
- Earning Your Certificate of Completion from The Art of Service
- Adding Your Certification to LinkedIn and Resumes
- Crafting a Compelling MDM Narrative for Promotions
- Bridging Technical Skills to Strategic Business Outcomes
- Transitioning from DBA to Data Governance Leader
- Positioning Yourself for Roles: MDM Specialist, Data Steward, Architect
- Using the Certificate as Evidence of Applied Competence
- Joining The Art of Service Professional Alumni Network
- Access to Exclusive Job Postings and Industry Events
- Next Steps: Azure Data Engineer, Microsoft Certified: Azure Data Fundamentals
- Defining Data Stewardship Roles and Responsibilities
- Creating Data Custodial Accountability Matrices
- Designing Approval Workflows for Record Changes
- Implementing Manual Review Queues Using SQL Tables
- Using Status Flags for Pending, Approved, Rejected Records
- Automating Notifications with Database Mail
- Tracking Data Change Requests with Audit Trails
- Versioning Master Records for Governance
- Implementing Time-to-Live (TTL) for Stale Records
- Creating Retention Policies Based on Regulatory Requirements
- Handling Deletion vs Archival Decisions
- Documenting Data Lineage and Source Transparency
- Generating Metadata Catalogs with Extended Properties
- Using SQL Server Data Tools (SSDT) for Source Control
- Integrating with Version Control Platforms
Module 8: Security & Compliance in MDM - Designing Role-Based Access Control (RBAC) for MDM
- Creating Database Roles for Stewards, Approvers, Auditors
- Granting Granular Permissions at Column and Row Level
- Securing Sensitive Data Using Dynamic Data Masking
- Implementing Always Encrypted Columns for PII
- Managing Keys with Azure Key Vault Integration
- Auditing Access with SQL Server Audit Logs
- Creating Compliance Reports for Regulators
- Meeting GDPR Right to Erasure Requirements
- Implementing Data Minimisation Principles
- Handling Subject Access Requests (SARs)
- Maintaining Audit Logs for Regulatory Review
- Aligning MDM Policies with Internal Audit Frameworks
- Preparing for ISO 27001 and SOC 2 Compliance
- Documenting Control Objectives for MDM Systems
Module 9: Advanced MDM Patterns - Multi-Domain MDM: Managing Customer and Product Together
- Multi-Instance MDM for Global Organisations
- Managing Regional Variations in Data Formats
- Building Multi-Currency and Multi-Language Support
- Handling Legal Entity Structures Across Jurisdictions
- Implementing Party Model for Unified Customer View
- Consolidating Individuals, Organisations, and Roles
- Relationship Modelling Between Master Data Entities
- Network Graphs for Complex Business Relationships
- Using SQL Server Graph Tables for Relationship Analysis
- Master Data Virtualisation Strategies
- Federated Query Patterns with Linked Servers
- Querying Remote Sources with OPENQUERY and OPENDATASOURCE
- Balancing Performance and Real-Time Accuracy
- Designing for Low-Latency Master Data Lookups
Module 10: Performance Optimisation & Scalability - Indexing Strategies for High-Volume MDM Queries
- Using Covering Indexes to Avoid Key Lookups
- Index Maintenance Plans for Large-Scale MDM
- Query Optimisation Using Execution Plans
- Identifying and Fixing Parameter Sniffing Issues
- Using Query Hints with Caution and Precision
- Statistics Management for Accurate Row Estimation
- Partitioning Large Tables by Date or Geography
- Sliding Window Partitioning for Time-Based Data
- Filegroup Strategy for Separating Indexes and Data
- In-Memory Tables for High-Frequency Stewardship Tables
- Monitoring Performance with Dynamic Management Views (DMVs)
- Using SQL Server Profiler and Extended Events
- Capacity Planning for 5x Data Growth Scenarios
- Benchmarking System Performance Under Load
Module 11: Monitoring, Alerting & Operations - Setting Up SQL Server Agent Jobs for MDM Workflows
- Scheduling Daily Data Quality Checks
- Mission-Critical Failure Notifications via Email and SMS
- Creating Custom Alerts for Data Anomalies
- Monitoring Sync Latency Between Systems
- Using Performance Counters for System Health
- Automated Health Check Scripts Using PowerShell
- Integrating with Enterprise Monitoring Tools (SCOM, Nagios)
- Service Level Agreement (SLA) Tracking for MDM
- Creating Operational Runbooks for MDM Teams
- Disaster Recovery Planning for Master Data
- Backups with Recovery Point and Time Objectives
- Test Restores and Failover Drills
- Documenting MDM Run-Time Dependencies
- Incident Response Protocols for Data Breaches
Module 12: MDM Integration with Azure & Modern Pipelines - Hybrid MDM: On-Premise SQL Server with Azure Data Lake
- Migrating Master Data to Azure SQL Managed Instance
- Synchronising with Azure Data Factory Pipelines
- Event-Driven Integration Using Azure Event Grid
- Using Azure Logic Apps for Approval Workflows
- Serving Master Data via Azure API Management
- Creating REST Endpoints from Stored Procedures
- Consuming Master Data in Power BI for Governance Dashboards
- Implementing Dataflows for Self-Service Access
- Protecting Data in Transit with TLS 1.3
- Using Managed Identities for Secure Access
- Integrating with Microsoft Entra ID (Azure AD) for Authentication
- Single Sign-On (SSO) for Enterprise Users
- Monitoring Cross-Cloud Data Flows with Azure Monitor
- Auditing Access Across On-Prem and Cloud Systems
Module 13: Real-World MDM Projects & Hands-On Labs - Laboratory 1: Designing a Customer MDM Hub
- Laboratory 2: Building Product Master with Hierarchy Support
- Laboratory 3: Implementing Supplier Resolution Logic
- Laboratory 4: Creating a Location Master with Time Zones
- Laboratory 5: Merging Regional Data into a Global Hub
- Project 1: Full MDM Implementation for a Multi-National Retailer
- Project 2: Compliance-Focused MDM for Healthcare Provider
- Project 3: Financial Entity Master for a Bank
- Validating Project Outputs Against Industry Benchmarks
- Documenting Implementation Decisions and Trade-Offs
- Presenting Technical Architecture to a Simulated Steering Committee
- Creating Operational Support Manuals for Handover
- Performance Testing Under Simulated Production Load
- Security Audit Simulation and Gap Remediation
- Final Project Rubric: Completeness, Maintainability, Auditability
Module 14: Certification & Career Acceleration - Preparing for the Final Certification Assessment
- Review of Core MDM Concepts and SQL Server Features
- Scenario-Based Exam Questions: Real Enterprise Challenges
- Submitting Your Completed MDM Project for Evaluation
- Receiving Personalised Feedback from MDM Architects
- Earning Your Certificate of Completion from The Art of Service
- Adding Your Certification to LinkedIn and Resumes
- Crafting a Compelling MDM Narrative for Promotions
- Bridging Technical Skills to Strategic Business Outcomes
- Transitioning from DBA to Data Governance Leader
- Positioning Yourself for Roles: MDM Specialist, Data Steward, Architect
- Using the Certificate as Evidence of Applied Competence
- Joining The Art of Service Professional Alumni Network
- Access to Exclusive Job Postings and Industry Events
- Next Steps: Azure Data Engineer, Microsoft Certified: Azure Data Fundamentals
- Multi-Domain MDM: Managing Customer and Product Together
- Multi-Instance MDM for Global Organisations
- Managing Regional Variations in Data Formats
- Building Multi-Currency and Multi-Language Support
- Handling Legal Entity Structures Across Jurisdictions
- Implementing Party Model for Unified Customer View
- Consolidating Individuals, Organisations, and Roles
- Relationship Modelling Between Master Data Entities
- Network Graphs for Complex Business Relationships
- Using SQL Server Graph Tables for Relationship Analysis
- Master Data Virtualisation Strategies
- Federated Query Patterns with Linked Servers
- Querying Remote Sources with OPENQUERY and OPENDATASOURCE
- Balancing Performance and Real-Time Accuracy
- Designing for Low-Latency Master Data Lookups
Module 10: Performance Optimisation & Scalability - Indexing Strategies for High-Volume MDM Queries
- Using Covering Indexes to Avoid Key Lookups
- Index Maintenance Plans for Large-Scale MDM
- Query Optimisation Using Execution Plans
- Identifying and Fixing Parameter Sniffing Issues
- Using Query Hints with Caution and Precision
- Statistics Management for Accurate Row Estimation
- Partitioning Large Tables by Date or Geography
- Sliding Window Partitioning for Time-Based Data
- Filegroup Strategy for Separating Indexes and Data
- In-Memory Tables for High-Frequency Stewardship Tables
- Monitoring Performance with Dynamic Management Views (DMVs)
- Using SQL Server Profiler and Extended Events
- Capacity Planning for 5x Data Growth Scenarios
- Benchmarking System Performance Under Load
Module 11: Monitoring, Alerting & Operations - Setting Up SQL Server Agent Jobs for MDM Workflows
- Scheduling Daily Data Quality Checks
- Mission-Critical Failure Notifications via Email and SMS
- Creating Custom Alerts for Data Anomalies
- Monitoring Sync Latency Between Systems
- Using Performance Counters for System Health
- Automated Health Check Scripts Using PowerShell
- Integrating with Enterprise Monitoring Tools (SCOM, Nagios)
- Service Level Agreement (SLA) Tracking for MDM
- Creating Operational Runbooks for MDM Teams
- Disaster Recovery Planning for Master Data
- Backups with Recovery Point and Time Objectives
- Test Restores and Failover Drills
- Documenting MDM Run-Time Dependencies
- Incident Response Protocols for Data Breaches
Module 12: MDM Integration with Azure & Modern Pipelines - Hybrid MDM: On-Premise SQL Server with Azure Data Lake
- Migrating Master Data to Azure SQL Managed Instance
- Synchronising with Azure Data Factory Pipelines
- Event-Driven Integration Using Azure Event Grid
- Using Azure Logic Apps for Approval Workflows
- Serving Master Data via Azure API Management
- Creating REST Endpoints from Stored Procedures
- Consuming Master Data in Power BI for Governance Dashboards
- Implementing Dataflows for Self-Service Access
- Protecting Data in Transit with TLS 1.3
- Using Managed Identities for Secure Access
- Integrating with Microsoft Entra ID (Azure AD) for Authentication
- Single Sign-On (SSO) for Enterprise Users
- Monitoring Cross-Cloud Data Flows with Azure Monitor
- Auditing Access Across On-Prem and Cloud Systems
Module 13: Real-World MDM Projects & Hands-On Labs - Laboratory 1: Designing a Customer MDM Hub
- Laboratory 2: Building Product Master with Hierarchy Support
- Laboratory 3: Implementing Supplier Resolution Logic
- Laboratory 4: Creating a Location Master with Time Zones
- Laboratory 5: Merging Regional Data into a Global Hub
- Project 1: Full MDM Implementation for a Multi-National Retailer
- Project 2: Compliance-Focused MDM for Healthcare Provider
- Project 3: Financial Entity Master for a Bank
- Validating Project Outputs Against Industry Benchmarks
- Documenting Implementation Decisions and Trade-Offs
- Presenting Technical Architecture to a Simulated Steering Committee
- Creating Operational Support Manuals for Handover
- Performance Testing Under Simulated Production Load
- Security Audit Simulation and Gap Remediation
- Final Project Rubric: Completeness, Maintainability, Auditability
Module 14: Certification & Career Acceleration - Preparing for the Final Certification Assessment
- Review of Core MDM Concepts and SQL Server Features
- Scenario-Based Exam Questions: Real Enterprise Challenges
- Submitting Your Completed MDM Project for Evaluation
- Receiving Personalised Feedback from MDM Architects
- Earning Your Certificate of Completion from The Art of Service
- Adding Your Certification to LinkedIn and Resumes
- Crafting a Compelling MDM Narrative for Promotions
- Bridging Technical Skills to Strategic Business Outcomes
- Transitioning from DBA to Data Governance Leader
- Positioning Yourself for Roles: MDM Specialist, Data Steward, Architect
- Using the Certificate as Evidence of Applied Competence
- Joining The Art of Service Professional Alumni Network
- Access to Exclusive Job Postings and Industry Events
- Next Steps: Azure Data Engineer, Microsoft Certified: Azure Data Fundamentals
- Setting Up SQL Server Agent Jobs for MDM Workflows
- Scheduling Daily Data Quality Checks
- Mission-Critical Failure Notifications via Email and SMS
- Creating Custom Alerts for Data Anomalies
- Monitoring Sync Latency Between Systems
- Using Performance Counters for System Health
- Automated Health Check Scripts Using PowerShell
- Integrating with Enterprise Monitoring Tools (SCOM, Nagios)
- Service Level Agreement (SLA) Tracking for MDM
- Creating Operational Runbooks for MDM Teams
- Disaster Recovery Planning for Master Data
- Backups with Recovery Point and Time Objectives
- Test Restores and Failover Drills
- Documenting MDM Run-Time Dependencies
- Incident Response Protocols for Data Breaches
Module 12: MDM Integration with Azure & Modern Pipelines - Hybrid MDM: On-Premise SQL Server with Azure Data Lake
- Migrating Master Data to Azure SQL Managed Instance
- Synchronising with Azure Data Factory Pipelines
- Event-Driven Integration Using Azure Event Grid
- Using Azure Logic Apps for Approval Workflows
- Serving Master Data via Azure API Management
- Creating REST Endpoints from Stored Procedures
- Consuming Master Data in Power BI for Governance Dashboards
- Implementing Dataflows for Self-Service Access
- Protecting Data in Transit with TLS 1.3
- Using Managed Identities for Secure Access
- Integrating with Microsoft Entra ID (Azure AD) for Authentication
- Single Sign-On (SSO) for Enterprise Users
- Monitoring Cross-Cloud Data Flows with Azure Monitor
- Auditing Access Across On-Prem and Cloud Systems
Module 13: Real-World MDM Projects & Hands-On Labs - Laboratory 1: Designing a Customer MDM Hub
- Laboratory 2: Building Product Master with Hierarchy Support
- Laboratory 3: Implementing Supplier Resolution Logic
- Laboratory 4: Creating a Location Master with Time Zones
- Laboratory 5: Merging Regional Data into a Global Hub
- Project 1: Full MDM Implementation for a Multi-National Retailer
- Project 2: Compliance-Focused MDM for Healthcare Provider
- Project 3: Financial Entity Master for a Bank
- Validating Project Outputs Against Industry Benchmarks
- Documenting Implementation Decisions and Trade-Offs
- Presenting Technical Architecture to a Simulated Steering Committee
- Creating Operational Support Manuals for Handover
- Performance Testing Under Simulated Production Load
- Security Audit Simulation and Gap Remediation
- Final Project Rubric: Completeness, Maintainability, Auditability
Module 14: Certification & Career Acceleration - Preparing for the Final Certification Assessment
- Review of Core MDM Concepts and SQL Server Features
- Scenario-Based Exam Questions: Real Enterprise Challenges
- Submitting Your Completed MDM Project for Evaluation
- Receiving Personalised Feedback from MDM Architects
- Earning Your Certificate of Completion from The Art of Service
- Adding Your Certification to LinkedIn and Resumes
- Crafting a Compelling MDM Narrative for Promotions
- Bridging Technical Skills to Strategic Business Outcomes
- Transitioning from DBA to Data Governance Leader
- Positioning Yourself for Roles: MDM Specialist, Data Steward, Architect
- Using the Certificate as Evidence of Applied Competence
- Joining The Art of Service Professional Alumni Network
- Access to Exclusive Job Postings and Industry Events
- Next Steps: Azure Data Engineer, Microsoft Certified: Azure Data Fundamentals
- Laboratory 1: Designing a Customer MDM Hub
- Laboratory 2: Building Product Master with Hierarchy Support
- Laboratory 3: Implementing Supplier Resolution Logic
- Laboratory 4: Creating a Location Master with Time Zones
- Laboratory 5: Merging Regional Data into a Global Hub
- Project 1: Full MDM Implementation for a Multi-National Retailer
- Project 2: Compliance-Focused MDM for Healthcare Provider
- Project 3: Financial Entity Master for a Bank
- Validating Project Outputs Against Industry Benchmarks
- Documenting Implementation Decisions and Trade-Offs
- Presenting Technical Architecture to a Simulated Steering Committee
- Creating Operational Support Manuals for Handover
- Performance Testing Under Simulated Production Load
- Security Audit Simulation and Gap Remediation
- Final Project Rubric: Completeness, Maintainability, Auditability