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Course Outline

Introduction to SQL Server Analysis Services (SSAS)

  • Foundational concepts of Business Intelligence
  • The function of SSAS within the broader Microsoft BI landscape
  • Comprehending SSAS architecture and its core components
  • The synergy between SSAS, SSIS, SSRS, and Power BI

Installation and Configuration of SSAS

  • Setting up SQL Server Analysis Services
  • Configuring the SSAS operational environment
  • Distinguishing between deployment modes:
    • Multidimensional models
    • Tabular models
  • Administration of SSAS databases and instances

Core Concepts in Business Intelligence and Data Analytics

  • An overview of data warehouses and analytical frameworks
  • Converting operational data into strategic business insights
  • Structuring analytical solutions to support informed decision-making
  • Introduction to OLAP and analytical processing techniques

Data Modeling with SSAS

  • Basics of multidimensional data models
  • Structuring dimensions and measures
  • Building cubes and analytical structures
  • Establishing connections between various data objects
  • Adhering to best practices for BI data modeling

Managing SSAS Tabular Models

  • Understanding the underlying architecture of tabular models
  • Creation and maintenance of tabular models
  • Executing queries on tabular data
  • Utilizing calculations and analytical expressions
  • Optimizing performance in tabular models

Querying Multidimensional Data via MDX

  • Introduction to MDX (Multidimensional Expressions)
  • Retrieving data from cubes and dimensions
  • Developing calculated members and measures
  • Filtering and analyzing multidimensional data sets

Advanced Capabilities of SSAS

  • Leveraging Columnstore Index technology
  • Enhancing the performance of analytical queries
  • Strengthened integration with SSIS
  • Insights into Master Data Services (MDS) integration

Implementation of BI Solutions with SSAS

  • Rolling out SSAS solutions in production settings
  • Linking SSAS models with client-side applications
  • Integration with reporting and visualization platforms
  • Addressing enterprise-level BI scenarios

Troubleshooting and Performance Tuning

  • Monitoring SSAS system performance
  • Diagnosing typical configuration challenges
  • Refining queries and data models
  • Implementing best practices for SSAS administration

Hands-on Workshop and Course Summary

  • Constructing analytical models with SSAS
  • Developing and querying BI solutions
  • Analyzing real-world SSAS deployment cases
  • Recap of essential concepts and recommended next steps

Requirements

  • Familiarity with data analysis principles
  • Proficiency with Microsoft SQL Server
 14 Hours

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