What is SSAS?

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 multi-dimensional analysis with powerful data mining capabilities, SSAS involves the 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

 

SSAS Model Types

The following are the types of models in SSAS: 

 

Multi-dimensional Data Model

Multi-Dimensional Data Model is a set of operations that lets you query the cell values with the help of cube and dimension members as coordinates. It is a type of model that has a data cube. This model specifies the principles for rolling up measure values inside hierarchies and computing particular values in a sparse cube.

 

SSAS Tabular Model

Data is organized into tables using a tabular model. Since all associated tables may serve both tasks, the table does not define as “dimensions” or “facts,” and development time is reduced with tabular.

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

 

Exploring More in SSAS

Here are some important terminologies that you need to know in SSAS:

 

Data Source: 

Data Source is a type of connection string. It connects the analytical database to the relational database management system.

 

Data Source View: 

A logical representation of a database is known as a data source view.

 

SSAS Cube: 

A cube is a simple storage container. It’s a collection of data that’s been consolidated so that searches can return results rapidly.

 

MOLAP: 

The MOLAP comprises a data cube that includes measurements and dimensions. It covers all individuals who may have a hierarchical connection with one another.

 

Dimension:

The context of a business process event is provided by dimension. They provide the who, what, and where of a fact in simple terms.

 

Schema: 

The term “schema” refers to the way data is organized as a blueprint for how a database is built.

 

Advantages of SSAS

Check out the advantages of SSAS below:

  • It’s an excellent program for numerical analysis.
  • The detection of data patterns is possible using SSAS.
  • OLAP analysis for many data sources is supported.
  • For visualization, SSAS may be linked to Excel and SSRS.
  • It assists you in avoiding resource conflicts with the source system. 
 

Disadvantages of SSAS

Some major limitations of SSAS are mentioned below: 

  • It is not feasible to switch between Tabular and Multidimensional selections without having to start again.
  • It is not allowed to combine data from two distinct types of cubes.
  • When requirements change midway through the execution, it might be challenging to handle.
 

Become a Business Intelligence Architect

 

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
 

Prerequisites

  • 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 a SSAS cube?

SSAS Cubes 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).

What is SSIS SSRS SSAS?

  1. SSIS (SQL Server Integration Service):
    • ETL tool
    • Useful for data warehousing and data pumping
  2. SSRS (SQL Server Reporting Service):
    • The framework of the reporting mechanism
    • Used to generate interactive and printed reports
  3. 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 a SSAS cube?

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

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Power BI Training 2022-10-01 2022-10-02
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