This Business Intelligence with SSAS training is designed to help participants build and manage analytical data models using Microsoft SQL Server Analysis Services (SSAS). The course covers SSAS architecture, multidimensional and tabular models, data modeling, measures and calculations, processing, security, and integration with BI tools. Participants will gain hands-on experience to design high-performance analytical models for enterprise business intelligence and reporting solutions.

• Understand the architecture, multidimensional modeling capabilities, and analytical features of SQL Server Analysis Services for  enterprise business intelligence solutions.
• Set up and configure the SQL Server Analysis Services environment, data sources, projects, and analytical components for BI  workflows.
• Design cubes, dimensions, measures, hierarchies, and analytical models using SSAS development approaches.
• Implement data modeling, OLAP analysis, aggregations, calculations, and business reporting workflows effectively.
• Debug, test, and optimize analytical models, queries, and processing performance for scalability and maintainability.
• Build scalable, data-driven, and production-ready business intelligence solutions using SSAS best practices.

 • Business intelligence developers
 • Data warehouse developers
 • BI architects and analysts
 • SQL Server professionals
 • IT professionals working with Microsoft BI stack

 • Basic understanding of SQL Server and relational databases
 • Familiarity with data warehousing concepts is helpful
 • Basic knowledge of business intelligence fundamentals

 • Understanding SSAS architecture and components
 • Designing analytical data models
 • Building tabular and multidimensional cubes
 • Creating measures and calculated fields
 • Implementing data security and roles
 • Processing and deploying SSAS models
 • Integrating SSAS with reporting tools
 • Applying SSAS performance tuning best practices

By the end of this training, participants will be able to design, deploy, and manage SSAS analytical models with confidence. Learners will gain strong fundamentals in tabular and multidimensional modeling, calculations, and security, enabling them to deliver high-performance enterprise BI and analytics solutions.

Introduction to SSAS & BI Architecture
 • What is SSAS and where it is used
 • SSAS architecture and deployment models
 • Multidimensional vs tabular models
 • SSAS development environment overview

Data Modeling Fundamentals
 • Star and snowflake schemas
 • Dimensions and fact tables
 • Relationships and hierarchies
 • Best practices for analytical modeling

Building Tabular Models
 • Creating tabular projects
 • Importing data sources
 • Defining relationships
 • Configuring model properties

DAX Basics for Tabular Models
 • Introduction to DAX
 • Creating basic measures
 • Calculated columns
 • Time intelligence basics

Multidimensional Cubes Fundamentals
 • Cube architecture and components
 • Dimensions and measures
 • Aggregations and hierarchies
 • Calculations and KPIs

Security & Role Management
 • Implementing role-based security
 • Row-level security concepts
 • Securing SSAS models
 • Best practices for BI security

Processing, Deployment & Management
 • Processing SSAS databases
 • Deploying SSAS projects
 • Monitoring processing jobs
 • Managing SSAS environments

Performance Tuning & Optimization
 • Query performance analysis
 • Aggregation design basics
 • Partitioning concepts
 • Memory and processing optimization

SSAS Integration with BI Tools & Workshop
 • Connecting SSAS to Power BI and Excel
 • Creating reports from SSAS models
 • End-to-end BI workflow
 • Final project workshop and best practices

• SQL Server Analysis Services Setup & BI Architecture
• Data Sources, Projects & Analytical Model Configuration
• Cubes, Dimensions & Measure Development
• OLAP Analysis, Calculations & Data Processing
• Testing, Debugging & Performance Optimization
• End-to-End SSAS Business Intelligence Development Project

Participants will be evaluated through hands-on SSAS labs, practical model development exercises, instructor-led reviews, and a final assessment focused on building and deploying a complete SSAS analytical model.

Participants will receive course materials, slides, reference materials, exercises and access to resources for further learning.

Upon successful completion of the training, participants will receive an AcadNXT Certificate of Completion for Business Intelligence with SSAS. This digital, verifiable certification validates practical SSAS modeling, enterprise BI development, and analytical data platform skills and can be shared on LinkedIn and included in professional profiles to enhance Microsoft BI career credibility.