SQL Server Analysis Services Documentation

Introduction to SQL Server Analysis Services

SQL Server Analysis Services (SSAS) is a component of Microsoft SQL Server that provides online analytical processing (OLAP) and data mining functionality for business intelligence applications. Analysis Services is the platform for building sophisticated BI solutions by providing a multidimensional or tabular data model that can support complex calculations, advanced analytics, and interactive reporting.

Key Features and Capabilities

Multidimensional Models: Create cube-based data models for complex analysis and aggregations.
Tabular Models: Develop in-memory data models using DAX (Data Analysis Expressions) for simpler, more intuitive analytics.
Data Mining: Integrate data mining algorithms to discover patterns, forecast trends, and make predictions.
Performance Optimization: Leverages in-memory technology and query optimization for rapid data retrieval.
Integration with Microsoft Tools: Seamlessly integrates with SQL Server Reporting Services (SSRS), Power BI, and Excel.

Getting Started

This documentation provides a comprehensive guide to understanding, developing, and deploying solutions with SQL Server Analysis Services. Whether you are new to OLAP or an experienced BI professional, you will find valuable information here.

Note: SQL Server Analysis Services is available in both on-premises and Azure Analysis Services offerings. This documentation primarily covers concepts applicable to both.

Common Tasks and Scenarios

Designing and building OLAP cubes.
Creating tabular models and writing DAX queries.
Configuring security and roles.
Deploying SSAS projects.
Performance tuning and troubleshooting.
Using SSAS with Power BI and Excel.

Explore the menu on the left to navigate through the various sections of the documentation, including tutorials, architectural overviews, and developer references.

Latest Updates

Stay informed about the latest features and changes in SQL Server Analysis Services. Refer to the release notes for detailed information.

Tip: For hands-on experience, consider starting with the beginner tutorials which guide you through building a simple tabular model.

This section provides a high-level overview. Dive deeper into specific topics by selecting from the navigation pane.