SSAS (SQL Server Analysis Services) Training
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Learners : 1080
About Course
Our SSAS (SQL Server Analysis Services) is a decision assistance and business analytics analytical data engine (VertiPaq). For business reports and client apps like Power BI, Excel, Reporting Services reports, and other data visualisation tools, it offers enterprise-grade semantic data models. Enrol today to earn your certification.
SSAS Training Course Syllabus
Core concept – BI is the cube or UDM
Example cube as seen using Excel pivot table
MSBI is comprehensive – more than Analysis Services on SQL Server
Demonstration of SQL Reporting Services with cube as data source
Understanding the development environment
Creating Data Sources and Data Source Views
Creating cubes – using Cube Build Wizard
Refining Dimensions and Measures in BIDS
KPIs Calculations
Translations – cube metadata and currency localization
Actions – regular, drill-through and reporting
Storage topics – basic aggregations, MOLAP
Advanced Storage Design – MOLAP, ROLAP, HOLAP
Partitions – relational and Analysis Services partitions
Customizing Aggregation Design – Processing Design
Welcome to the Real-Time – Proactive Caching
Cube processing options
Basic syntax
Using the MDX query editor in SQL Server Management Studio
Most-used Functions & Common tasks
New MDX functions
Adding calculated members
Adding scripts
Adding named sets
| Live Instructor Based Training With Software |
| Lifetime access and 24×7 support |
| Certification Oriented content |
| Hands-On complete Real-time training |
| Get a certificate on course completion |
| Flexible Schedules |
| Live Recorded Videos Access |
| Study Material Provided |
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Live Virtual Training
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Schedule your sessions at your comfortable timings.
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Instructor-led training, Real-time projects
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Certification Guidance.
Self-Paced Learning
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Complete set of live-online training sessions recorded videos.
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Learn technology at your own pace.
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Get access for lifetime.
Corporate Training
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Learn As A Full Day Schedule With Discussions, Exercises,
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Practical Use Cases
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Design Your Own Syllabus Based
SSAS Training FAQ'S
Microsoft SQL Server 2014 Analysis Services (SSAS) offers online analytical processing (OLAP) and data mining capabilities for business intelligence applications. Analysis Services supports OLAP by enabling us to create, develop, and manage multidimensional structures that include data generated from other data sources, such as relational databases. Analysis Services provides us with the ability to develop, create, and visualize data mining models that are constructed from other data sources by utilizing a wide range of industry-standard data mining algorithms.
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, reporting, etc.
5. Provides extensive support for custom applications
By learning through VISWA Online Trainings, advance in your job.
- A blank cube cannot be created in 2005, however, it is possible to do it in 2008.
- The Attribute Relationships tab in the Dimension Designer is a new tool in Analysis Services 2008 to implement attribute relationships, which are complicated in SSAS 2005.
- In 2005, we are limited to only 2000 divisions per Measure Group, and in 2008, that restriction is lifted.
- On-line analytical processing is known as OLAP. It is a feature or a group of technologies that enables end users to efficiently access data from data warehouses using a variety of tools, including Microsoft Excel, Reporting Services, and numerous other outside business intelligence applications.
- OLTP is characterized by less frequent data updates and contains past data; it is utilized for analysis to support daily business decisions. OLTP (On-Line Transactional Processing), on the other hand, is used to support daily business operations. It is characterized by frequent data updates, contains the most recent data, and only contains a small amount of historical data based on the retention policy determined by business needs.
The connection details needed by SSAS to connect to the underlying database and load the data into SSAS during processing are contained in A-DATA SOURCE. Apart from other attributes like Query timeout, Isolation, etc., a data source primarily comprises the following data:
- Provider
- Server Name
- Database Name
- Impersonation Information
Both .Net and OLE DB providers are supported by SSAS. The key sources that SSAS supports are the ones listed below: SQL Server, MS Access, Oracle, Teradata, IBM DB2, and any other relational database that has the proper OLE DB provider.
