MSBI Course Syllabus

Complete MSBI course syllabus covering SSIS ETL, SSAS cubes, SSRS reports, SQL Server integration, data warehouse concepts, and BI project delivery.

PragadeeshJuly 24, 2026
MSBI Course Syllabus
Summarize this article in
💡 Quick Answer
  • MSBI jobs need SSIS ETL, SSAS cubes, and SSRS reports together.
  • Expect 15 core modules plus a phased real-time project with hands-on delivery.
  • SQL skills are essential prerequisites.
  • Book Asmorix demo for MSBI lab stack details.

This MSBI course syllabus covers Microsoft BI stack: SSIS for ETL, SSAS for analytics, SSRS for reporting, with data warehouse fundamentals and an integrated project. Use before MSBI Training in Chennai. Related: Power BI Course Syllabus, Microsoft Azure Course Syllabus, SQL Training.

💡 Note
MSBI training must include SSIS package design, SSAS cube development, SSRS paginated reports, and warehouse modeling — not tool menus alone.

Quick Overview

ItemDetails
Course focusEnd-to-end Microsoft BI with SQL Server stack
Modules15 core modules + real-time project guidance
LevelBeginner to job-ready BI/ETL developer
Who it is forSQL developers, report writers, and analytics engineers
Key outcomesBuild ETL packages, OLAP cubes, enterprise reports, and document BI solutions
Training optionsClassroom and live online batches in Chennai with placement support

Who Should Follow This MSBI Syllabus?

Ideal for SQL-aware professionals targeting BI developer or reporting roles in Microsoft-centric enterprises.

Module 1: MSBI Architecture & Toolchain

  • SQL Server BI stack
  • OLTP versus OLAP
  • ETL lifecycle
  • Semantic models
  • Reporting audiences
  • BI project roles
  • Lab: apply this module in a guided SSIS/SSAS/SSRS solution exercise
  • Review common interview and on-the-job scenarios for msbi architecture & toolchain

Module 2: SQL Server for BI Developers

  • SELECT and joins
  • Window functions
  • Common table expressions
  • Stored procedures
  • Query plans
  • Data-quality queries
  • Lab: apply this module in a guided SSIS/SSAS/SSRS solution exercise
  • Review common interview and on-the-job scenarios for sql server for bi developers

Module 3: Data Warehouse Design

  • Fact tables
  • Dimension tables
  • Star schemas
  • Slowly changing dimensions
  • Surrogate keys
  • Grain declaration
  • Lab: apply this module in a guided SSIS/SSAS/SSRS solution exercise
  • Review common interview and on-the-job scenarios for data warehouse design

Module 4: SSIS Fundamentals

  • Control flow
  • Data flow
  • Connection managers
  • Package parameters
  • Precedence constraints
  • SSIS deployment model
  • Lab: apply this module in a guided SSIS/SSAS/SSRS solution exercise
  • Review common interview and on-the-job scenarios for ssis fundamentals

Module 5: SSIS Data Cleansing & Transformations

  • Derived columns
  • Lookup transformations
  • Conditional split
  • Fuzzy matching
  • Error outputs
  • Audit columns
  • Lab: apply this module in a guided SSIS/SSAS/SSRS solution exercise
  • Review common interview and on-the-job scenarios for ssis data cleansing & transformations

Module 6: Incremental ETL & Logging

  • Watermark loading
  • Change data capture
  • Staging tables
  • Package logging
  • Restartability
  • Late-arriving dimensions
  • Lab: apply this module in a guided SSIS/SSAS/SSRS solution exercise
  • Review common interview and on-the-job scenarios for incremental etl & logging

Module 7: SSAS Tabular Models

  • Tabular model design
  • Relationships
  • DAX measures
  • Calculated columns
  • Partitions
  • Role-based security
  • Lab: apply this module in a guided SSIS/SSAS/SSRS solution exercise
  • Review common interview and on-the-job scenarios for ssas tabular models

Module 8: SSAS Multidimensional Concepts

  • Cubes
  • Dimensions and hierarchies
  • Measure groups
  • MDX basics
  • Aggregations
  • Perspectives
  • Lab: apply this module in a guided SSIS/SSAS/SSRS solution exercise
  • Review common interview and on-the-job scenarios for ssas multidimensional concepts

Module 9: DAX for Analytics

  • Filter context
  • CALCULATE
  • Time intelligence
  • Iterator functions
  • Ratio measures
  • DAX debugging
  • Lab: apply this module in a guided SSIS/SSAS/SSRS solution exercise
  • Review common interview and on-the-job scenarios for dax for analytics

Module 10: SSRS Paginated Reports

  • Report datasets
  • Tablix layouts
  • Parameters
  • Expressions
  • Subreports
  • Report subscriptions
  • Lab: apply this module in a guided SSIS/SSAS/SSRS solution exercise
  • Review common interview and on-the-job scenarios for ssrs paginated reports

Module 11: Power BI Integration

  • Power Query
  • Power BI datasets
  • Gateway refresh
  • Drill-through
  • Row-level security
  • Power BI service sharing
  • Lab: apply this module in a guided SSIS/SSAS/SSRS solution exercise
  • Review common interview and on-the-job scenarios for power bi integration

Module 12: Deployment & Release Management

  • SSIS catalog
  • SSAS deployment
  • SSRS folders
  • Environment configuration
  • Release promotion
  • Rollback evidence
  • Lab: apply this module in a guided SSIS/SSAS/SSRS solution exercise
  • Review common interview and on-the-job scenarios for deployment & release management

Module 13: Data Quality & Governance

  • Data lineage
  • Business glossary
  • Master data concepts
  • Reconciliation controls
  • Access governance
  • Retention requirements
  • Lab: apply this module in a guided SSIS/SSAS/SSRS solution exercise
  • Review common interview and on-the-job scenarios for data quality & governance

Module 14: Performance Tuning

  • ETL bottlenecks
  • Columnstore indexes
  • SSAS processing
  • DAX performance
  • Report rendering
  • Capacity monitoring
  • Lab: apply this module in a guided SSIS/SSAS/SSRS solution exercise
  • Review common interview and on-the-job scenarios for performance tuning

Module 15: MSBI Portfolio & Interview

  • Warehouse case study
  • ETL design defence
  • DAX interview tasks
  • Report walkthrough
  • Production support scenarios
  • Resume portfolio
  • Lab: apply this module in a guided SSIS/SSAS/SSRS solution exercise
  • Review common interview and on-the-job scenarios for msbi portfolio & interview

Module 16: Real-Time Project

Create a SQL Server BI solution that loads transactional sales data into a warehouse and serves managers through tabular and paginated reports.

  • Star-schema design and ETL packages
  • SSAS model with documented DAX measures
  • SSRS and Power BI management reports

Phase 1

  • Profile source sales tables
  • Design dimensions and fact grain
  • Create staging and audit schema

Phase 2

  • Build incremental SSIS packages
  • Process tabular model
  • Author parameterised SSRS report

Phase 3

  • Publish dashboard and reconcile totals
  • Tune load and query performance
  • Present release documentation

How to Use This Syllabus

Verify SSIS, SSAS, and SSRS are all lab-backed. Visit MSBI Training in Chennai with Placement.

Frequently Asked Questions

What does the MSBI course syllabus cover?

It covers data warehouse modeling, SSIS ETL packages, SSAS multidimensional and Tabular cubes, SSRS reports, SQL Server integration, deployment, and Power BI migration awareness.

How many modules are in this MSBI syllabus?

This reference plan has 15 core modules plus a phased real-time project. Institutes may combine or split modules depending on batch duration and lab hours.

Who should follow this MSBI syllabus and what prerequisites apply?

This syllabus suits BI developers and SQL professionals moving into Microsoft stack reporting. Analytical SQL skills are essential before SSIS and SSAS modules.

Is SSAS Tabular modeling included in the syllabus?

Yes. Introductory Tabular modeling is included alongside multidimensional cube concepts, with documented DAX measures and deployment steps.

What projects should be part of MSBI training?

An integrated ETL pipeline, SSAS cube, and SSRS report suite on a star-schema data warehouse is a strong capstone deliverable.

Is this MSBI syllabus suitable for beginners and career switchers?

Freshers with SQL foundations can enter BI roles with structured labs. Career switchers from reporting or SQL backgrounds often progress faster through ETL and cube modules.

How does this MSBI syllabus relate to Power BI or Azure training?

This syllabus covers the classic SSIS/SSAS/SSRS stack. The Power BI syllabus focuses on modern self-service analytics, and Azure training adds cloud data platform skills.

Where can I join MSBI training in Chennai?

Asmorix offers mentor-led MSBI training with placement support. Book a free demo to match this syllabus to your background and batch timing.

Pragadeesh

Pragadeesh is a software professional and technical mentor at Asmorix. He specializes in AI, Full Stack, Python, Java, .NET, Data Science, Cloud, Testing, DevOps, Cyber Security, and Digital Marketing training guidance for learners in Chennai.

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