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
What you’ll
learn
Introduction to Business Intelligence and Data Modeling
Multidimensional Databases
Cubes and Dimensions
Measures and Measure Groups
Introduction to MDX
Customizing Cube Functionality
Tabular Data Models
Data Analysis Expressions (DAX)
Data Mining
Analysis Services is composed of two powerful applications – VertiPaq and Data Mining for multidimensional cubes, as well as xVelocity for Tabular Data Models. It provides enterprise-level semantic data modeling abilities to construct business intelligence systems such as Power BI, Excel Reporting Services and other information visualization tools that can make your organization even more successful!
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
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
3.1 Module 3 Introduction
3.2 Dimensions
3.3 Attribute Hierarchies and Relationships
3.4 Sorting and Grouping Attributes
3.5 Slowly Changing Dimensions
4.1 Module 4 Introduction
4.2 Measures
4.3 Measure Groups and Relationships
4.4 Measure Group Storage
5.1 Module 5 Introduction
5.2 MDX Fundamentals
5.3 Adding Calculations to a Cube
5.4 Querying a cube using MDX
6.1 Module 6 Introduction
6.2 Key Performance Indicators
6.3 Actions
6.4 Perspectives
6.5 Translations
7.1 Module 7 Introduction
7.2 Introduction to Tabular Data Models
7.3 Creating a Tabular Data Model
7.4 Configure Relationships and Attributes
7.5 Configuring Data Model for an Enterprise BI Solution
8.1 Module 8 Introduction
8.2 DAX Fundamentals
8.3 Calculated Columns
8.4 Relationships
8.5 Measures
8.6 Time Intelligence
8.7 KPI
8.8 Parent - Child Hierarchies
9.1 Module 9 Introduction
9.2 Overview of Data Mining
9.3 Custom Data Mining Solutions
9.4 Validating a Data Mining Model
9.5 Consuming a Data Mining Model
9.6 Course Wrap Up
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SSAS stands for SQL Server Analysis Services, a part of Microsoft’s SQL Server suite. It is used for advanced analytics and business intelligence. SSAS allows you to create multidimensional cubes and tabular data models, enabling fast and efficient querying and analysis of large datasets. It plays a crucial role in helping businesses make data-driven decisions by providing tools for data modeling, analysis, and visualization.
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ISSAS integrates seamlessly with other Microsoft tools like SQL Server, Excel, and Power BI. You can import data from SQL Server into SSAS to create cubes or tabular models. These can then be easily accessed and visualized using Excel or Power BI, providing a comprehensive business intelligence solution within the Microsoft ecosystem.
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