The course covers SSAS architecture, multidimensional and tabular models, data modeling, measures and calculations, processing, security, and integration with BI tools.
Overview
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.
Learning Outcomes
• 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.
Duration & Delivery Mode
14 hours
Target Audience
• Business intelligence developers
• Data warehouse developers
• BI architects and analysts
• SQL Server professionals
• IT professionals working with Microsoft BI stack
Pre-requisites
• Basic understanding of SQL Server and relational databases
• Familiarity with data warehousing concepts is helpful
• Basic knowledge of business intelligence fundamentals
Skillset Achieved
• 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
Course Outcome
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.
Course Outline
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
Assessment Topics
• 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
Evaluation
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.
Course Materials
Participants will receive course materials, slides, reference materials, exercises and access to resources for further learning.
Certification
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.
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WHO WILL BE FUNDING THE COURSE?
What Our Students Say
Says this SSAS training helped him design high-performance analytical models for enterprise reporting.
Highlights AcadNXT’s SSAS course as an excellent program for mastering tabular and cube-based BI solutions.
Shares that the training improved his team’s ability to deliver scalable SSAS-based analytics.
States that this course provided strong practical guidance for implementing SSAS in enterprise BI environments.
Recommends AcadNXT’s Business Intelligence with SSAS training for professionals building enterprise analytics platforms.