Ebook: Microsoft SQL Server 2012 Analysis Services: The BISM Tabular Model
Author: Russo M. Ferrari A. Webb C.
- Genre: Computers // Databases
- Tags: Библиотека, Компьютерная литература, SQL Server, SQL Server 2012
- Language: English
- pdf
O’Reilly Media, 2012. — 665 p. — ISBN: 0735658188.Build agile and responsive Business Intelligence solutions Analyze tabular data using the BI Semantic Model (BISM) in Microsoft® SQL Server® 2012 Analysis Services—and discover a simpler method for creating corporate-level BI solutions. Led by three BI experts, you’ll learn how to build, deploy, and query a BISM tabular model with step-by-step guides, examples, and best practices. This hands-on book shows you how the tabular model’s in-memory database enables you to perform rapid analytics—whether you’re a professional BI developer new to Analysis Services or familiar with its multidimensional model.Discover how to:
Determine when a tabular or multidimensional model is right for your project;
Build a tabular model using SQL Server Data Tools in Microsoft Visual Studio® 2010;
Integrate data from multiple sources into a single, coherent view of company information;
Use the Data Analysis eXpressions (DAX) language to create calculated columns, measures, and queries;
Choose a data modeling technique that meets your organization’s performance and usability requirements;
Optimize your data model for better performance with xVelocity storage engine;
Manage complex data relationships, such as multicolumn, banding, and many-to-many;
Implement security by establishing administrative and data user roles.
Determine when a tabular or multidimensional model is right for your project;
Build a tabular model using SQL Server Data Tools in Microsoft Visual Studio® 2010;
Integrate data from multiple sources into a single, coherent view of company information;
Use the Data Analysis eXpressions (DAX) language to create calculated columns, measures, and queries;
Choose a data modeling technique that meets your organization’s performance and usability requirements;
Optimize your data model for better performance with xVelocity storage engine;
Manage complex data relationships, such as multicolumn, banding, and many-to-many;
Implement security by establishing administrative and data user roles.
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