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.
Proudly Display Your Achievement
Upon completion of your training, you will receive a personalized certificate of completion to help validate your new skills.
Step-by-Step Courses List
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
Module 2 - Multidimensional Databases
- Â 2.1 Module 2 Introduction
- Â 2.2 Introduction to Multidimensional Analysis
- Â 2.3 Overview of Cube Security
- Â 2.4 Creating and Configuring a Cube
- Â 2.5 Data Sources
- Â 2.6 Data Source Views
- Â 2.7 Adding a Dimension to a Cube
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
Module 4 - Measures and Measure Groups
- 1 Module 4 Introduction
- 2 Measures
- 3 Measure Groups and Relationships
- 4 Measure Group Storage
Module 5 - Introduction to MDX
- 1 Module 5 Introduction
- 2 MDX Fundamentals
- 3 Adding Calculations to a Cube
- 4 Querying a cube using MDX
Module 6 - Customizing Cube Functionality
- 1 Module 6 Introduction
- 2 Key Performance Indicators
- 3 Actions
- 4 Perspectives
- 5 Translations
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
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
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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What is Included
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Professional Certification
Exam-focused prep and certification guidance aligned to your learning path.
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ATS-Optimized Resume
Build a resume that highlights your new skills for recruiters and hiring systems.
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Mock Interviews
Practice real interview scenarios with structured feedback from career coaches.
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LinkedIn Optimization
Polish your profile so employers discover your credentials and achievements.
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Job Placement Support
Career guidance and placement resources on eligible programs.
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Practical Labs
Hands-on labs and exercises to reinforce concepts from your courses.
A well-organized course that strengthened both my theoretical and practical knowledge.
A well-organized course that strengthened both my theoretical and practical knowledge.
I liked the hands-on labs and real-world scenarios included in the lessons.
Very detailed and well-structured — perfect for certification preparation.
This course enhanced my understanding and boosted my confidence for the exam.
Very detailed and well-structured — perfect for certification preparation.
Excellent course with clear explanations and practical examples.
Comprehensive training that improved my SQL and data modeling skills.
Easy to follow and great for beginners to learn database fundamentals.
Easy to follow and great for beginners to learn database fundamentals.