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Data-mart Reports
 
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

Prototyping Data Warehouses Using Visual Analytics: Presentation Transcript
sponsored by Tableau Software
PRESENTATION TRANSCRIPT: Read this presentation transcript of the “Prototyping Data Warehouses using Visual Analytics” webinar that includes a case study demonstrating how the City of Charlotte is administering Tableau Server to reduce IT intervention, reduce costs and increase collaboration between business units.
Posted: 09 Apr 2009 | Published: 09 Apr 2009

Tableau Software

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

Prepare for the Quantum Leap in Real-Time Analytics: How In-Memory Analytics is going to change everything about your enterprise
sponsored by SAP America, Inc.
WHITE PAPER: This paper discusses how the shift to in-memory analytics will make time-to-value in countless business decisions accelerate, changing the pace of adoption and integrated analytics within the enterprise. Learn how in-memory analytics is going to change everything about your enterprise.
Posted: 29 Aug 2011 | Published: 01 Sep 2011

SAP America, Inc.

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

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.

Applying Business Analytics Webinar Series - Confident Predictions. Accurate Results.
sponsored by SAS
WEBCAST: Learn how to easily gain profitable data mining results in less time and improve accuracy and usefulness of analytical models during this Webinar. You’ll find out how to deliver precise and confident results, manage and improve model performance, and derive and share insights to improve the quality and precision of your decisions.
Posted: 09 Apr 2010 | Premiered: Apr 9, 2010

SAS

What we learned from data marts and consolidation
sponsored by IBM
RESOURCE: What IBM learned about the trade-offs between data marts, data warehouses and consolidation.
Posted: 07 Jun 2011 | Published: 07 Jun 2011

IBM

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

IBM: What we learned from data marts and consolidation
sponsored by IBM
INFORMATION CENTER: This blog post takes a closer look at data marts and how data warehouses evolved from them. Learn about the pros and cons of this technology as well as trends to expect for the future.
Posted: 26 Jul 2011 | Published: 18 Apr 2011

IBM
 
 
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