SSAS Tutorial for Beginners

This free SSAS tutorial is an introduction to SQL Server Analysis Services and is meant for beginners.It includes the SSAS use cases and practical applications. SSAS is an analytical processing engine in Business Intelligence,This tutorial includes creating cubes from data marts, working with dimensions which are master tables for data analysis, exploring data in data warehouse, data modeling, etc. Acronym for SQL Server Analysis Services, SSAS is a revered BI tool for developing Online Analytical Processing (OLAP) solutions. In more technical terms, it enables users and analysts to create cubes by extracting data from data marts or data warehouses, thereby ensuring profound and swifter analysis.

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Offering multidimensional analysis with powerful data mining capabilities, SSAS involves efficient configuration of schemas in Business Intelligence Development. The demand for SSAS or MDX professionals is increasing among leading IT organizations. Companies are hiring  expert OLAP Cube Developers at excellent salaries in the market.

Key features of SSAS

In order to understand SSAS in a better way its key features should be highlighted at first:

Key features Description
Speed Shorter query response time due to aggregation of facts
Data analysis Allows multi-dimensional analysis facilitated by cubes
Automatic link and display Able to automatically link and display the reports
Good data model Capable of creating a good data model for better business reporting and analysis

Some of the additional functionalities that will give you a clearer view about this concept are:

  • Ensures the integrity of data by automatic back-up
  • A web browser and internet access is sufficient; no additional software required
  • Organizational data is secured with SSAS solutions
  • Accessible anytime and anywhere through internet.

SSAS Tutorial Video

Intellipaat has designed this SSAS tutorial to cater the learning needs of large audience worldwide and help you step ahead in your BI career. It includes expansive description of SSAS features and components, allowing you to implement them on your projects and deliver best OLAP (Online Analytical Processing) solutions.

Check this riveting Intellipaat blog that talks about the top advantages of MSBI of which SSAS is a part.

What will you learn?

  • In the first place, the tutorial provides an introduction to MDX (Multidimensional) Query language to help you retrieve data from multidimensional databases.
  • Focused on providing an interactive learning environment, we have imbued loads of examples in this section so that you can understand the basics better and faster and permanently commit them to your memory.
  • The next segment of this tutorial aims at explaining Data Sources and Data Source Views working with data. It also explains OLE DB data Providers and how to design Data Source Views (DSV) through a step-by-step process.
  • You will also see a detailed description of Data Views – an important section of SSAs. It further includes working with MDX Queries and understanding Cube specifications.

Recommended Audience

  • Software Architects, ETL Developers and Data Specialists
  • Business Reporting Professionals
  • Entry-level developers and advanced data professionals eager to build career in Business Intelligence and Data Analytics

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  • Basic IT and Operating System knowledge
  • A brief idea of reporting capabilities of MicroStrategy Desktop
  • Prior knowledge of any other data analytics and reporting tool can be beneficial

Frequently Asked Questions

What is cube in SSAS?

Cubes in SSAS are multidimensional databases that are optimized for data warehousing and online analytical processing (OLAP) applications. They are pre-summarized across dimensions to improve query time over relational databases. The query language used to interact and perform tasks with OLAP cubes is multidimensional expressions (MDX).


SSIS (SQL Server Integration Service):

  • ETL tool
  • Useful for data warehousing and data pumping

SSRS (SQL Server Reporting Service):

  • The framework of the reporting mechanism
  • Used to generate interactive and printed reports

SSAS (SQL Server Analysis Service):

  • Multi-dimensional analysis tool
  • Used to analyze information across databases

What is SQL Server Analysis Services used for?

Microsoft’s SSAS is an Online Analytical Processing (OLAP) and data mining tool which is used by organizations to analyze information spread across multiple databases and collect valuable information from the same to enhance improved business decision making.

How do you make a cube in SSAS?

To build a new data cube in SSAS, perform these steps:

  • Create a new Analysis Services project
  • Define a data source and define a data source view
  • Invoke the Cube Wizard

What is SSAS tabular model?

These are basically in-memory databases that model data with relational constructs to enhance a faster and efficient way for providing autonomous business intelligence to client applications such as Microsoft Excel and Microsoft Power View. Relational constructs include tables and relationships.

Why do we use cube in SSAS?

Cubes are used to hold data in an optimized form and analyze the same with a faster response. They help in getting quick outputs from multiple dimensions and fact tables.

What is SQL Server used for?

Microsoft SQL Server is a Relational Database Management System (RDBMS) which is used by organizations to support transaction processing, business intelligence, and analytics applications. SQL Server has several components that make data processing extremely convenient.

Course Schedule

Name Date
Power BI Training 2021-12-04 2021-12-05
(Sat-Sun) Weekend batch
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Power BI Training 2021-12-11 2021-12-12
(Sat-Sun) Weekend batch
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Power BI Training 2021-12-18 2021-12-19
(Sat-Sun) Weekend batch
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