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Data-mart Reports
 
The secrets of highly effective data governance programs
sponsored by Pitney Bowes Group 1 Software
EBOOK: The first key to a successful data governance program is ensuring user and organization expectations. To find out more secret advice for highly effective data governance programs read this expert e-Book. Our editorial team has gathered tips, techniques and best practices to plan a successful data governance plan.
Posted: 16 Sep 2011 | Published: 16 Sep 2011

Pitney Bowes Group 1 Software

Deliver Dynamic Efficiency with Power Systems Cloud Solutions
sponsored by IBM.
WEBCAST: This webcast takes an in-depth look at IBM Power Systems as an advanced virtualization platform for streamlined cloud deployment. Learn more about the RAS features scalability and performance capabilities.
Posted: 17 Jul 2013 | Premiered: May 22, 2013

IBM.

Succeeding with Data Virtualization - High Value Use Cases for Operational and Data Management Data Services
sponsored by Denodo Technologies
WHITE PAPER: This paper discusses virtual data services for operational business processing and data management as well as successful virtualization use cases.
Posted: 30 Mar 2012 | Published: 30 Mar 2012

Denodo Technologies

Microsoft® SQL Server® 2008 R2 Parallel Data Warehouse and Fast Track Data Warehouse Run on Intel® Xeon® Processors
sponsored by Intel and Microsoft
WHITE PAPER: Microsoft and Intel are now ready to help organizations turn a new page in data warehousing. Using Microsoft® SQL Server® 2008 R2 Enterprise, you can now quickly deploy small data warehouses or data marts with the Microsoft Fast Track Data Warehouse option.
Posted: 16 May 2011 | Published: 29 Mar 2011

Intel and Microsoft

Data Mart Consolidation
sponsored by Hexaware Technologies
WHITE PAPER: This white paper explores how Data Mart consolidation is an effective tool for saving money when dealing with large volumes of data.
Posted: 12 Sep 2011 | Published: 12 Sep 2011

Hexaware Technologies

Get the Most Out of Big Data: Is Hadoop the Right Move?
sponsored by Actian Corporation
WEBCAST: Watch this brief video to learn how a collaborative technology leverages high-speed analytics with Hadoop data and corporate data stored in data warehouses and data marts, in order to deliver more actionable insight for business users.
Posted: 27 Dec 2013 | Premiered: Dec 26, 2013

Actian Corporation

Tip Guide: The Good Data Mart
sponsored by SAP America, Inc.
EGUIDE: In this Tip Guide, readers will learn compelling reasons why organizations choose to build and support multiple dependent data marts.
Posted: 04 Nov 2011 | Published: 04 Nov 2011

SAP America, Inc.

An Introduction to Analytical MDM: master data management for BI data
sponsored by DataFlux Corporation
EBOOK: In this eBook, IT, BI and data management professionals will get an overview of analytical MDM and learn how to develop and manage a successful program for mastering their BI data. Get insight and advice on analytical MDM’s potential benefits, challenges to watch out for and combining it with operational MDM for a full enterprise approach.
Posted: 20 Mar 2011 | Published: 18 Mar 2011

DataFlux Corporation

Information is King: Business Analytics in the Age of the Downturn and the (Re)Emergence of the Customer
sponsored by SAS
WHITE PAPER: BusinessWeek Research Services (BWRS) launched a research program in April 2009 to determine the attitudes and opinions of C-level executives with regard to the use and value of business analytics. This paper reviews a portion of the research and provides analysis and insights on the topic of business analytics.
Posted: 07 Apr 2010 | Published: 07 Apr 2010

SAS

Top 10 Data Mining Mistakes
sponsored by SAS
WHITE PAPER: In the following paper, we briefly describe, and illustrate from examples, what we believe are the “Top 10” mistakes of data mining, in terms of frequency and seriousness. Most are basic, though a few are subtle. All have, when undetected, left analysts worse off than if they’d never looked at their data.
Posted: 07 Apr 2010 | Published: 07 Apr 2010

SAS
 
 
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