If you're looking for SSAS Interview Questions for Experienced or Freshers, you are at right place. There are lot of opportunities from many reputed companies in the world. According to research SSAS has a market share of about 26.35%. So, You still have opportunity to move ahead in your career in SSAS certification guide. Mindmajix offers Advanced SSAS Interview Questions 2018 that helps you in cracking your interview & acquire dream career as SSAS Developer.
Q. What is SQL Server Analysis Services (SSAS)? List out the features?
Microsoft SQL Server 2014 Analysis Services (SSAS) delivers online analytical processing (OLAP) and data mining functionality for business intelligence applications. Analysis Services supports OLAP by letting us design, create, and manage multidimensional structures that contain data aggregated from other data sources, such as relational databases. For data mining applications, Analysis Services lets we design, create, and visualize data mining models that are constructed from other data sources by using a wide variety of industry-standard data mining algorithms.
Analysis Services is a middle tier server for analytical processing, OLAP, and Data mining. It manages multidimensional cubes of data and provides access to heaps of information including aggregation of data. One can create data mining models from data sources and use it for Business Intelligence also including reporting features.
Analysis service provides a combined view of the data used in OLAP or Data mining. Services here refer to OLAP, Data mining. Analysis services assists in creating, designing and managing multidimensional structures containing data from varied sources. It provides a wide array of data mining algorithms for specific trends and needs.
Some of the key features are:
1.Ease of use with a lot of wizards and designers.
2.Flexible data model creation and management
3.Scalable architecture to handle OLAP
4.Provides integration of administration tools, data sources, security, caching, and reporting etc.
5.Provides extensive support for custom applications
Microsoft SQL Server 2014 Analysis Services (SSAS) delivers online analytical processing (OLAP) and data mining functionality for business intelligence applications. Analysis Services supports OLAP by letting us design, create, and manage multidimensional structures that contain data aggregated from other data sources, such as relational databases. For data mining applications, Analysis Services lets we design, create, and visualize data mining models that are constructed from other data sources by using a wide variety of industry-standard data mining algorithms.
Analysis Services is a middle tier server for analytical processing, OLAP, and Data mining. It manages multidimensional cubes of data and provides access to heaps of information including aggregation of data. One can create data mining models from data sources and use it for Business Intelligence also including reporting features.
Analysis service provides a combined view of the data used in OLAP or Data mining. Services here refer to OLAP, Data mining. Analysis services assists in creating, designing and managing multidimensional structures containing data from varied sources. It provides a wide array of data mining algorithms for specific trends and needs.
Some of the key features are:
1.Ease of use with a lot of wizards and designers.
2.Flexible data model creation and management
3.Scalable architecture to handle OLAP
4.Provides integration of administration tools, data sources, security, caching, and reporting etc.
5.Provides extensive support for custom applications
Q. What is the difference between SSAS 2005 and SSAS2008?
1.In 2005 its not possible to create an empty cube but in 2008 we can create an empty cube.
2.A new feature in Analysis Services 2008 is the Attribute Relationships tab in the Dimension Designer.to implement attribute relationship is complex in ssas 2005
3.we can create ONLY 2000 partitions per Measure Group in ssas 2005 and the same limit of partitions is removed in ssas 2008.
1.In 2005 its not possible to create an empty cube but in 2008 we can create an empty cube.
2.A new feature in Analysis Services 2008 is the Attribute Relationships tab in the Dimension Designer.to implement attribute relationship is complex in ssas 2005
3.we can create ONLY 2000 partitions per Measure Group in ssas 2005 and the same limit of partitions is removed in ssas 2008.
Q. What is OLAP? How is it different from OLTP?
1.OLAP stands for On-Line Analytical Processing. It is a capability or a set of tools which enables the end users to easily and effectively access the data warehouse data using a wide range of tools like MICROSOFT EXCEL, REPORTING SERVICES, and many other 3rd party BUSINESS INTELLIGENCE TOOLS.
2.OLAP is used for analysis purposes to support day-to-day business decisions and is characterized by less frequent data updates and contains historical data. Whereas, OLTP (On-Line Transactional Processing) is used to support day-to-day business operations and is characterized by frequent data updates and contains the most recent data along with limited historical data based on the retention policy driven by business needs.
1.OLAP stands for On-Line Analytical Processing. It is a capability or a set of tools which enables the end users to easily and effectively access the data warehouse data using a wide range of tools like MICROSOFT EXCEL, REPORTING SERVICES, and many other 3rd party BUSINESS INTELLIGENCE TOOLS.
2.OLAP is used for analysis purposes to support day-to-day business decisions and is characterized by less frequent data updates and contains historical data. Whereas, OLTP (On-Line Transactional Processing) is used to support day-to-day business operations and is characterized by frequent data updates and contains the most recent data along with limited historical data based on the retention policy driven by business needs.
Q. What is a Data Source? What are the different data sources supported by SSAS?
A DATA SOURCE contains the connection information used by SSAS to connect to the underlying database to load the data into SSAS during processing. A Data Source primarily contains the following information (apart from various other properties like Query timeout, Isolation etc.):
1.Provider
2.Server Name
3.Database Name
4.Impersonation Information
SSAS Supports both .Net and OLE DB Providers. Following are some of the major sources supported by SSAS: SQL Server, MS Access, Oracle, Teradata, IBM DB2, and other relational databases with the appropriate OLE DB provider.
If you want more visit Mindmajix
A DATA SOURCE contains the connection information used by SSAS to connect to the underlying database to load the data into SSAS during processing. A Data Source primarily contains the following information (apart from various other properties like Query timeout, Isolation etc.):
1.Provider
2.Server Name
3.Database Name
4.Impersonation Information
SSAS Supports both .Net and OLE DB Providers. Following are some of the major sources supported by SSAS: SQL Server, MS Access, Oracle, Teradata, IBM DB2, and other relational databases with the appropriate OLE DB provider.
If you want more visit Mindmajix
Author
Lianamelissa is Research Analyst at Mindmajix. A techno freak who likes to explore different technologies. Likes to follow the technology trends in market and write about them.
Lianamelissa is Research Analyst at Mindmajix. A techno freak who likes to explore different technologies. Likes to follow the technology trends in market and write about them.
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