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 Duration 14 hours

Course Outline

Introduction to SQL Server Analysis Services (SSAS)

  • Fundamentals of Business Intelligence concepts
  • The role of SSAS within the Microsoft BI ecosystem
  • Examining SSAS architecture and core components
  • The connection between SSAS, SSIS, SSRS, and Power BI

Installation and Configuration of SSAS

  • Setting up SQL Server Analysis Services
  • Configuring the SSAS environment
  • Exploring deployment modes:
    • Multidimensional model
    • Tabular model
  • Administration of SSAS databases and instances

Concepts in Business Intelligence and Data Analytics

  • Analyzing data warehouses and analytical models
  • Converting operational data into strategic business insights
  • Developing analytical solutions to support decision-making
  • An overview of OLAP and analytical processing techniques

Data Modeling with SSAS

  • Introduction to multidimensional data models
  • Designing dimensions and measures
  • Constructing cubes and analytical structures
  • Establishing relationships between data objects
  • Implementing best practices for BI data models

Utilizing SSAS Tabular Models

  • Comprehending tabular model architecture
  • Creation and management of tabular models
  • Querying tabular data structures
  • Handling calculations and analytical expressions
  • Enhancing the performance of tabular models

Querying Multidimensional Data with MDX

  • Basics of MDX (Multidimensional Expressions)
  • Querying cubes and dimensions
  • Developing calculated members and measures
  • Filtering and analyzing multidimensional data

Advanced Features of SSAS

  • Implementation of Columnstore Index technology
  • Improving the speed of analytical queries
  • Advanced integration workflows with SSIS
  • Introduction to Master Data Services (MDS) integration

Deployment of BI Solutions with SSAS

  • Rolling out SSAS solutions to production environments
  • Connecting SSAS models with client-side applications
  • Integration with reporting and visualization tools
  • Supporting complex enterprise BI scenarios

Troubleshooting and Performance Optimization

  • Monitoring the performance of SSAS
  • Identifying and resolving common configuration issues
  • Optimizing queries and data models for efficiency
  • Adhering to SSAS administration best practices

Practical Workshop and Course Summary

  • Constructing analytical models using SSAS
  • Building and querying BI solutions
  • Reviewing real-world SSAS implementation cases
  • Recap of key concepts and recommended next steps

Requirements

  • Familiarity with data analysis concepts
  • Practical experience with Microsoft SQL Server

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