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Course Outline

Introduction to SQL Server Analysis Services (SSAS)

  • Core concepts of Business Intelligence
  • The role of SSAS within the Microsoft BI ecosystem
  • Deep dive into SSAS architecture and key components
  • The interplay between SSAS, SSIS, SSRS, and Power BI

Installing and Configuring SSAS

  • Step-by-step installation of SQL Server Analysis Services
  • Configuring SSAS environments for optimal performance
  • Exploring deployment modes:
    • Multidimensional model
    • Tabular model
  • Managing SSAS databases and instances effectively

Business Intelligence and Data Analytics Concepts

  • Understanding data warehouses and analytical frameworks
  • Transforming raw operational data into actionable business insights
  • Designing analytical solutions to support decision-making
  • Overview of OLAP and analytical processing techniques

SSAS Data Modeling

  • Introduction to multidimensional data models
  • Strategies for designing dimensions and measures
  • Building cubes and analytical structures
  • Implementing relationships between various data objects
  • Adhering to best practices for BI data modeling

Working with SSAS Tabular Models

  • Understanding the architecture of tabular models
  • Creating and managing tabular models efficiently
  • Techniques for querying tabular data
  • Developing calculations and analytical expressions
  • Optimizing performance for tabular models

Querying Multidimensional Data with MDX

  • Introduction to MDX (Multidimensional Expressions)
  • Querying cubes and dimensions
  • Creating calculated members and measures
  • Filtering and analyzing multidimensional data sets

Advanced SSAS Features

  • Leveraging Columnstore Index technology
  • Enhancing analytical query performance
  • Seamless integration with SSIS
  • Overview of Master Data Services (MDS) integration

Deploying BI Solutions with SSAS

  • Deploying SSAS solutions to production environments
  • Connecting SSAS models with client applications
  • Integrating with reporting and visualization tools
  • Supporting enterprise-level BI scenarios

Troubleshooting and Performance Optimization

  • Monitoring SSAS performance metrics
  • Identifying and resolving common configuration issues
  • Optimizing queries and data models for efficiency
  • Applying administration best practices for SSAS

Practical Workshop and Course Review

  • Building analytical models using SSAS
  • Creating and querying BI solutions in practice
  • Reviewing real-world SSAS implementation scenarios
  • Summary of key concepts and next steps for further learning

Requirements

  • Familiarity with data analysis principles
  • Hands-on experience with Microsoft SQL Server
 14 Hours

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