This SSAS Tutorial is a brief introduction to SSAS(SQL Server Analysis Services) and is helpful for anyone who wants to know what exactly SSAS is and why it is used for developing analytical solutions. In this SSAS tutorial, you will learn SSAS features, SSAS Architecture, Languages used in SSAS, etc.
As Technology runs around the data, data is increasing enormously. To store this data, enterprises are using data warehouses. When they have to make decisions, this data must be analyzed. To analyze this vast amount of data, you need a data analytic tool that uses a multi-dimensional approach.
That tool is SSAS. SSAS is one of the MSBI(Microsoft Business Intelligence) suite tools that allow us to perform data analysis across multiple dimensions. SSAS is generally an analytical processing engine in the field of business intelligence. This SSAS tutorial helps you with all the basic concepts of SSAS and gives you a clear understanding of working with SSAS.
|SSAS Tutorial - Table of Contents|
SSAS refers to SQL server analysis services and is a booming technology designed to perform data mining and online analytical processing for operations related to Business intelligence. In simple terms, SSAS is an analytical engine that helps to divide and perform data analysis for massive volumes of data. It also provides accurate outcomes to make precise business decisions. There is increased growth and demand for SSAS, which also helps in cube creation.
SSAS is a popular tool that is capable of providing in-depth data analysis. The SSAS tool will provide you with adequate information from the higher volumes of data. SSAS offers multi-dimensional analysis and also involves efficient schema configuration.
|If you want to enrich your career and become a professional in SSAS, then enroll in "SSAS Training" - This course will help you to achieve excellence in this domain.|
The SSAS technology has been available since ancient times and has become popular with the improvements and versions. Let us get to know more about the history of SSAS and its involvement in the current era.
Generally, organizations hold massive volumes of confidential data that require high security. Also, there is a need where all the required information needs to be retrieved from large volumes of data. The data will be stored in the databases and fetching can be done by running the commands and queries. SSAS is one of the technologies in which we can do anything with the data and helps in the retrieval and data management functionalities.
Let us know some of the key factors that SSAS provides and marked itself as essential in the current world.
1. Security: As the users are allowed to handle large volumes of data, security is one of the key factors to focus on. SSAS maintains security by setting up the permissions to the users for their roles, for accessing and analyzing the data as and when required.
2. Performance and scalability: It is important that the delivery of the outcomes should be faster. Business intelligence completely deals with the data and its analysis and requires high scalability and performance. Within a short span of time, the outcome should come up once the queries are applied to data sets.
3. Version Control: Now-a-days, it has become difficult for organizations to meet the KPI values, even though they maintain a reporting and monitoring tool. SSAS technology helps in defining and determining the targets and their formats, along with the descriptions to gain better understanding.
4. Usability: Everyone within the organization like the stakeholders, users, clients, and developers will need to work on the large volumes of data in different systems which may lead to incorrect outcomes. SSAS provides the flexibility to use and fetch the required data in a small amount of time with the correct results.
Features in each technology are the source to prove its significance. SSAS has come up with unique features which are explained below.
To gain an understanding of how the SSAS tool works, it is essential to learn SsAS architecture. The SSAS tool holds a three-tier based architecture that includes three main components – RDMS, client, and SSAS. Let us gain a clear idea of each of the components now.
All the data from multiple resources like excel, databases, text, and other sources are pulled with the help of the ETL tool into the relational database management system. The relational database management system – RDBMS is responsible for collecting data from a different sets of resources.
In this stage, all the collective data from the relational database management system will be moved to the cubes by using the project services. These cubes in SSAS will be creating a new database that includes analysis. This type of database is known as an analysis database which can be utilized for different purposes.
|Related Article: How to Create Cube in SSAS with Example|
The stakeholders or clients will now have the ability to access the data and also perform the operations as needed. The data access and management can be through the dashboards, portals, etc.
SSAS uses the client-server architecture, hence it is important for you to have an idea of the client and server architecture as well for better knowledge and understanding. Let us learn more about the client architecture and server architecture in detail.
In SSAS, the Msmdsrv.exe application is used as the client component which basically runs in window service. It includes a query processor which performs the below set of tasks. It also maintains security which is one of the key factors needed.
The server is capable of handling all the queries and functionalities. There is a need for a connection to be established between the server and the client for each request, and this communication can be established using the SOAP packets. The SSAS technology also provides its esteemed support to web services as well.
In the client architecture, all the data that is available from multiple resources like excel, text, database, access, and other sets of data will go through the OLAP processing. The cubes will be created, and the data can be accessed through dashboards, portals, reports, etc.
Till now, you had an idea of the architecture and the terminologies used in the SSAS platform. Now it is time to know about the different types of models in SSAS. SSAS includes two types of models
Let us learn more about these models in detail.
Cubes are included in the multi-dimensional models. The cubes hold the data and the operations to be performed. It helps in finding the cell value based on the query type by making use of the dimension numbers and cube as coordinates. The complexity level is high and also uses the file based memory.
The tables are used to represent the data in the tabular model. The tables do not hold any dimensions like the cube in the mult-dimensional model. The tabular model makes use of the memory cache with low complexity. It is considered as the relational model as relational databases uses the tabular models and tables.
SSAS makes use of three different languages. Let us know in detail about the languages used in SSAS.
If you are a beginner and would like to learn SSAS, then you need to follow the below steps.
SSAS is an OLAP processing, data mining, and reporting tool to perform data analysis. It is an analytics engine that helps you manage large volumes of data – slice and dice the vast data, allowing analysis across various dimensions.
|Related Article: SSAS Interview Questions|
Yes, SSAS is an ETL tool that helps in achieving data integration and is a part of business intelligence.
Kyvos is one of the best solutions for SSAS which helps you scale the OLAP cubes on the on-premise data lake, the cloud, or both.
In simple terms, SSAS is a BI tool that helps you create OLAP and data mining functionalities. It is possible to create the OLAP cubes using the SSAS service.
There are three different processing types for each entity – database, table, and proportions. The processing options are
SSAS is one of the booming technologies which has massive demand these days. SSAS is mainly used for analyzing the data stored in the OLAP server. As you now have an idea of its architecture, data models, and languages, you can install it and start working with it. I hope this SSAS tutorial is sufficient for you to get started with SSAS and explore it. If you’re looking forward to learning and master in SSAS, then enroll in this SSAS Course by MindMajix today.
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Madhuri is a Senior Content Creator at MindMajix. She has written about a range of different topics on various technologies, which include, Splunk, Tensorflow, Selenium, and CEH. She spends most of her time researching on technology, and startups. Connect with her via LinkedIn and Twitter .
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