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Microsoft SQL Server 2019 Analysis Services (SSAS)

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50 Videos
8.56 Hours
75 Test Questions

Course Description

Microsoft SQL Server 2019 Analysis Services (SSAS)

The Microsoft SQL Server 2019 Analysis Services (SSAS) course provides a deep dive into the powerful data analysis and business intelligence capabilities of SQL Server 2019. Designed for data analysts, BI developers, and IT professionals, this course covers the essentials of building and managing multidimensional and tabular models using SSAS. Participants will learn how to create complex data models, design efficient data cubes, and deploy solutions that drive insightful business decisions.

Key Features:

  • Multidimensional Model Design: Learn to design and deploy multidimensional models with OLAP cubes, including defining dimensions, measures, and hierarchies to analyze data from various perspectives.
  • Tabular Model Development: Explore tabular data models to build scalable and high-performance solutions, utilizing data analysis expressions (DAX) to create complex calculations and business logic.
  • Data Processing and Management: Understand how to process, manage, and refresh data within SSAS models, including scheduling data updates and handling data source changes.
  • Performance Optimization: Discover techniques for optimizing query performance and improving the efficiency of SSAS models through indexing, partitioning, and caching strategies.
  • Security and Permissions: Learn how to implement security measures to protect sensitive data, including configuring role-based security and managing permissions for users and groups.
  • Integration with Power BI: Gain insights into integrating SSAS models with Power BI to enhance data visualization and reporting capabilities, and leverage SSAS as a data source for interactive dashboards.
  • Data Analysis Expressions (DAX): Master DAX language to create advanced calculations, measures, and KPIs, enabling more sophisticated data analysis and reporting.
  • Troubleshooting and Maintenance: Develop skills to troubleshoot common issues, monitor SSAS performance, and perform routine maintenance to ensure reliable and accurate data analysis.

This course is tailored for professionals looking to harness the full potential of SSAS for sophisticated data analysis and business intelligence, providing them with the tools to deliver actionable insights and support data-driven decision-making.


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Step-by-Step Courses List

Chapter One:

Module 1 – Introduction to Business Intelligence and Data Modeling

  • 1.1 Course Introduction
  • 1.2 Module 1 Introduction
  • 1.3 Introduction to Business Intelligence
  • 1.4 The Microsoft Business Intelligence Platform
  • 1.5 Exploring a Data Warehouse
  • 1.6 Exploring a Data Model
Chapter Two:

Module 2 – Multidimensional Databases

  •  2.1 Module 2 Introduction
  •  2.2 Introduction to Multidimensional Analysis
  •  2.3 Overview of Cube Security
  •  2.4 Creating and Configuring a Cube
  •  2.5 Data Sources
  •  2.6 Data Source Views
  •  2.7 Adding a Dimension to a Cube
Chapter Three:

Module 3 – Cubes and Dimensions

  • 1 Module 3 Introduction
  • 2 Dimensions
  • 3 Attribute Hierarchies and Relationships
  • 4 Sorting and Grouping Attributes
  • 5 Slowly Changing Dimensions
Chapter Four:

Module 4 – Measures and Measure Groups

  • 1 Module 4 Introduction
  • 2 Measures
  • 3 Measure Groups and Relationships
  • 4 Measure Group Storage
Chapter Five:

Module 5 – Introduction to MDX

  • 1 Module 5 Introduction
  • 2 MDX Fundamentals
  • 3 Adding Calculations to a Cube
  • 4 Querying a cube using MDX
Chapter Six:

Module 6 – Customizing Cube Functionality

  • 1 Module 6 Introduction
  • 2 Key Performance Indicators
  • 3 Actions
  • 4 Perspectives
  • 5 Translations
Chapter Seven:

Module 7 – Tabular Data Models

  • 1 Module 7 Introduction
  • 2 Introduction to Tabular Data Models
  • 3 Creating a Tabular Data Model
  • 4 Configure Relationships and Attributes
  • 5 Configuring Data Model for an Enterprise BI Solution
Chapter Eight:

Module 8 – Data Analysis Expressions (DAX)

  • 1 Module 8 Introduction
  • 2 DAX Fundamentals
  • 3 Calculated Columns
  • 4 Relationships
  • 5 Measures
  • 6 Time Intelligence
  • 7 KPI
  • 8 Parent – Child Hierarchies
Chapter Nine:

Module 9 – Data Mining

  • 1 Module 9 Introduction
  • 2 Overview of Data Mining
  • 3 Custom Data Mining Solutions
  • 4 Validating a Data Mining Model
  • 5 Consuming a Data Mining Model
  • 6 Course Wrap Up

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Description

Microsoft SQL Server 2019 Analysis Services (SSAS)

The Microsoft SQL Server 2019 Analysis Services (SSAS) course provides a deep dive into the powerful data analysis and business intelligence capabilities of SQL Server 2019. Designed for data analysts, BI developers, and IT professionals, this course covers the essentials of building and managing multidimensional and tabular models using SSAS. Participants will learn how to create complex data models, design efficient data cubes, and deploy solutions that drive insightful business decisions.

Key Features:

  • Multidimensional Model Design: Learn to design and deploy multidimensional models with OLAP cubes, including defining dimensions, measures, and hierarchies to analyze data from various perspectives.
  • Tabular Model Development: Explore tabular data models to build scalable and high-performance solutions, utilizing data analysis expressions (DAX) to create complex calculations and business logic.
  • Data Processing and Management: Understand how to process, manage, and refresh data within SSAS models, including scheduling data updates and handling data source changes.
  • Performance Optimization: Discover techniques for optimizing query performance and improving the efficiency of SSAS models through indexing, partitioning, and caching strategies.
  • Security and Permissions: Learn how to implement security measures to protect sensitive data, including configuring role-based security and managing permissions for users and groups.
  • Integration with Power BI: Gain insights into integrating SSAS models with Power BI to enhance data visualization and reporting capabilities, and leverage SSAS as a data source for interactive dashboards.
  • Data Analysis Expressions (DAX): Master DAX language to create advanced calculations, measures, and KPIs, enabling more sophisticated data analysis and reporting.
  • Troubleshooting and Maintenance: Develop skills to troubleshoot common issues, monitor SSAS performance, and perform routine maintenance to ensure reliable and accurate data analysis.

This course is tailored for professionals looking to harness the full potential of SSAS for sophisticated data analysis and business intelligence, providing them with the tools to deliver actionable insights and support data-driven decision-making.


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7 reviews for Microsoft SQL Server 2019 Analysis Services (SSAS)

  1. Jason K –

    This course gave me a solid understanding of SSAS Tabular and Multidimensional models. The instructor explained complex topics like DAX and KPIs with clarity

  2. Priya D –

    Very practical course. I was able to deploy and manage my first SSAS cube confidently after following the lessons

  3. Michael B –

    Great deep dive into SSAS 2019! From data source configuration to role-based security, everything was covered with hands-on examples

  4. Hannah W –

    Good material, but some sections could use more real-world scenarios. Still helped me improve my understanding of OLAP cubes and data processing

  5. Ahmed S –

    SSAS used to be intimidating, but this course broke it down into manageable pieces. The DAX examples and performance tuning tips were especially useful

  6. Sophia M –

    This course helped me bridge the gap between data analysis and enterprise-level reporting. The cube-building process is now much clearer to me

  7. Carlos R –

    The instructor explained the differences between Tabular and Multidimensional models really well. Great intro to DAX and PowerPivot integration too

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