Data Warehousing 133 Success Secrets - 133 Most Asked Questions On Data Warehousing - What You Need To Know

Nonfiction, Reference & Language, Reference, Business & Finance

• Author: Ashley Fernandez
• ISBN: 9781488538759
• Publisher: Emereo Publishing
• Publication: March 21, 2014
• Imprint: Emereo Publishing
• Language: English

In data processing, a 'data warehouse' ('DW', 'DWH'), either an 'enterprise information warehouse' ('EDW'), is a database applied aimed at Business reporting and information examination. Integrating information as of one either further different origins produces a principal depository of information, a information storage (DW). Data depots store present and past information and are applied aimed at generating trending outlines for older administration informing such like yearly and three-monthly juxtapositions.

There has never been a Data Warehousing Guide like this.

It contains 133 answers, much more than you can imagine; comprehensive answers and extensive details and references, with insights that have never before been offered in print. Get the information you need--fast! This all-embracing guide offers a thorough view of key knowledge and detailed insight. This Guide introduces what you want to know about Data Warehousing.

A quick look inside of some of the subjects covered: Data architect, Data integration - History, SAP BW, Fact (data warehouse), Online analytical processing - Bibliography, Semantic warehousing - Background, Jim Gray (computer scientist) - Work, Sybase IQ, Operational database - Data warehouse terminology, SAP NetWeaver Business Intelligence, Data corruption - Silent data corruption, Fact (data warehouse) - Evolution in organization use, Telenor Pakistan - Awards, Infobright - Query execution, Pentaho Data Integration - Licensing, Integration competency center - Overview, Teradata - Introduction, Shared-nothing, Sunopsis, Extract, transform, load - Extract, Dimensional modeling, SQL Server 2008 R2, Teradata - Teradata and Big Data, Business Objects - Legal, MIKE2.0 Methodology, Data integration History, Dataflow architecture, Operational system, Entity-attribute-value model - Optimizing pivoting performance, Data quality - Overview, Zachman Framework - Overview, Microsoft SQL Server - Specialized editions, and much more…