Querying Cubes and Working with Data Mining in SSAS
This course is included in our On-demand training solution.
SQL Server 2008 Analysis Services takes relational data and provides a robust way to analyze it in a meaningful way through MDX queries and data mining. This course will introduce the fundamentals of querying multi-dimensional data. It will introduce the MDX language which used to query multi-dimensional data. This includes a discussion on how to create a basic MDX query, how to establish a cube context, how to build subcubes and named sets, and how data can be modified with MDX. The course also provides a review of Key Performance Indicators (KPI), Actions, Perspectives, Translations, and Stored Procedures. In addition, this course introduces data mining. It looks at the logical and physical architecture of data mining including data mining structures, models, and algorithms. Tools related to data mining such as the Data Mining Wizard, Data Mining Designer, and SQL Server Management Studio will also be discussed in this course. This course will also look at how you can create, view, validate, and query a data mining solution. This course is one of a series in the SkillSoft learning path that covers the objectives for the Microsoft exam: 70-448 TS: Microsoft SQL Server 2008, Business Intelligence Development and Maintenance. Passing this exam will earn the learner Microsoft Certified Technology Specialist (MCTS): SQL Server 2008, Business Intelligence Development and Maintenance certification.
IT professionals working to develop and maintain Microsoft SQL Server 2008 business intelligence solutions or those pursuing a career as a database administrator or developer
Familiarity with Microsoft .NET Framework; experience with SQL Server 2005 or SQL Server 2008 business intelligence components; experience performing queries on relational databases and using SQL Server Management Studio and Business Intelligence Development Studio
Querying Cubes Using MDX
Working with SSAS Cube Objects
Introducing SQL Server 2008 Data Mining
Creating a Data Mining Solution Using SSAS
Querying a Data Mining Solution
Working with Cubes and Data Mining in SSAS