Delivering Business Intelligence with Microsoft SQL Server by Brian Larson

By Brian Larson

Maximize the enterprise Intelligence instruments in Microsoft SQL Server 2008

Manage, study, and distribute company info with support from this professional source. Delivering enterprise Intelligence with Microsoft SQL Server 2008 covers the total BI lifecycle and explains easy methods to construct strong information integration, reporting, and research ideas. Real-world examples illustrate the entire robust BI functions of SQL Server 2008. this can be your one-stop consultant for remodeling disparate information into actionable perception for clients all through your organization.

  • comprehend the ambitions and merits of industrial intelligence
  • Design and create relational facts marts and OLAP cubes
  • Manage research companies databases utilizing BI improvement Studio
  • Cleanse facts and populate info marts with SQL Server Integration Services
  • benefit from the pliability of the Unified Dimensional version
  • Manipulate and study facts utilizing MDX scripts and queries
  • Use info mining to spot information styles, correlations, and clustering
  • Develop and distribute interactive reviews with SQL Server 2008 Reporting Services
  • Integrate enterprise intelligence into firm functions utilizing ADOMD.NET and the file Viewer Control

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Extra info for Delivering Business Intelligence with Microsoft SQL Server 2008

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These bits of additional information are known as attributes of the dimension. Definition An attribute is an additional piece of information pertaining to a dimension member that is not the unique identifier or the description of the member. Attributes can be used to more fully describe dimension members. They may contain information about a dimension member that the users are likely to want as part of their business intelligence output. Attributes are also used to store information that may be used to limit or filter the records selected from the data mart during data analysis.

For the answer to this, we look to online analytical processing. Online Analytical Processing In 1993, E. F. Codd, one of the fathers of relational database and OLTP theory, proposed a different type of system that would be tuned to the needs of data analysts. He called this an online analytical processing, or OLAP, system. The criteria Codd originally laid out for an OLAP system were not widely accepted. However, the OLAP name continues to be used for systems designed to quickly provide users with business intelligence.

The manufacturing automation system uses a proprietary data-storage format. Data can be exported from the manufacturing automation system to a comma-delimited text file. This text file serves as the source for loading the manufacturing data into the business intelligence systems. Order Processing The order processing system manages the inventory amounts for all products. It tracks wholesale orders placed by non–Max Min retailers. The system also records product amounts sold through the Max Min retail stores and the Max Min online store to maintain inventory amounts.

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