Module 1: Introduction to SQL Server and Business Intelligence 

• Overview of SQL Server: architecture, components, and editions 

• Introduction to Business Intelligence and its role in decision-making 

• Overview of the Microsoft BI stack (SSIS, SSRS, SSAS) 

• Key concepts: databases, data warehouses, ETL, OLTP vs. OLAP 

Module 2: SQL Server Database Fundamentals 

• Setting up and configuring SQL Server 

• Introduction to relational database concepts (tables, relationships, indexes) 

• Writing basic SQL queries (SELECT, INSERT, UPDATE, DELETE) 

• Data types, constraints, and normalization 

• Creating and managing views, stored procedures, and triggers 

Module 3: Advanced SQL and Query Optimization 

• Advanced SQL queries (JOINS, subqueries, common table expressions) 

• Working with aggregate functions and window functions 

• Query optimization and performance tuning 

• Indexing strategies and execution plans 

• Managing transactions and implementing error handling 

Module 4:  Data Warehousing and ETL Concepts 

• Introduction to data warehousing: star schema, snowflake schema 

• Understanding facts and dimensions in data warehousing 

• The role of ETL in data warehousing 

• Overview of ETL processes and challenges 

• Designing and implementing data warehouses in SQL Server 

Module 5: SQL Server Integration Services (SSIS) 

• Introduction to SSIS: architecture and components 

• Creating SSIS packages for ETL processes 

• Data flow tasks: extracting, transforming, and loading data 

• Control flow tasks: handling workflows and automating ETL jobs 

• Error handling, logging, and performance tuning in SSIS 

Module 6: SQL Server Reporting Services (SSRS) 

• Introduction to SSRS for creating interactive reports 

• Designing and formatting reports with SSRS Report Builder 

• Creating tabular, matrix, and chart-based reports 

• Implementing parameters, filters, and drill-through reports 

• Deploying and managing SSRS reports in a production environment 

Module 7: SQL Server Analysis Services (SSAS) 

• Introduction to SSAS and OLAP cubes 

• Creating multidimensional models in SSAS 

• Defining dimensions, hierarchies, and measures 

• Building cubes for fast data retrieval and analysis 

• Introduction to Data Analysis Expressions (DAX) for querying SSAS cubes 

Module 8: Data Visualization and Business Intelligence Tools 

• Overview of Power BI and its integration with SQL Server 

• Creating interactive dashboards and reports in Power BI 

• Data connectivity: connecting Power BI to SQL Server and other data sources 

• Building real-time data visualizations and sharing reports 

• Best practices for designing BI reports and dashboards 

Module 9: Performance Monitoring and Maintenance in SQL Server 

• Database performance monitoring with SQL Server Profiler and Activity Monitor 

• Implementing backups and disaster recovery plans 

• Automating maintenance tasks with SQL Server Agent 

• Index maintenance and database consistency checks 

• Security best practices: user roles, permissions, and encryption 

Module 10: Implementing Data Security and Compliance in SQL Server 

• Managing data access and security in SQL Server 

• Implementing row-level security and dynamic data masking 

• Auditing and monitoring SQL Server activity 

• Ensuring compliance with data protection regulations (GDPR, HIPAA) 

• Backup strategies and data encryption in SQL Server 

Module 11: Capstone Project: Developing a BI Solution 

• Design and implement a BI solution using SQL Server and the Microsoft BI stack 

• Build a data warehouse and create ETL processes using SSIS 

• Develop SSRS reports and deploy them in a production environment 

• Create an OLAP cube in SSAS for multidimensional analysis 
• Use Power BI to create an interactive dashboard and present insights to stakeholders