Data Ware-house White Papers

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Cisco Business Intelligence Appliance for SAP
sponsored by Cisco Systems, Inc.
WHITE PAPER: Read this paper to discover powerful, self-service business intelligence (BI) that helps you locate, evaluate, and use your crucial business information while minimizing the operational cost.
Posted: 22 Nov 2011 | Published: 22 Nov 2011

Cisco Systems, Inc.

Advanced Compression with Oracle Database 11g Release 2
sponsored by Oracle Corporation
WHITE PAPER: This white paper helps you manage more data in a cost-effective way. With data volumes tripling every two years, Oracle advanced compression delivers compression rates of 2 to 4 times across all types of data and applications.  Read this to learn more about how it can help you reduce the disk space and costs of managing large data volumes.
Posted: 12 Dec 2011 | Published: 12 Dec 2011

Oracle Corporation

FAQ: Jump-start your big data journey with big data exploration
sponsored by IBM
WHITE PAPER: You know that there's a wealth of information to unlock inside "big data," but where do you start? Big data exploration allows you to navigate all potential data sources to determine how best to proceed. In this Q and A, learn how to plan and execute a big data exploration project, measure the business benefits of such a project, and much more.
Posted: 19 Jul 2013 | Published: 19 Jul 2013

IBM

7 must-have capabilities of big data DBMS
sponsored by IBM
WHITE PAPER: Companies are rushing to invest in big data analytics tools, but many forget about the underlying infrastructure that supports their big data efforts. In this informative white paper, learn why the right database management system (DBMS) could be the key to a successful big data analytics project.
Posted: 07 Apr 2014 | Published: 28 Feb 2014

IBM

Best Practices for Implementing a High-Performance Data Warehouse
sponsored by SAS
WHITE PAPER: There are more new forms of data today than ever before, and traditional business intelligence systems cannot always handle the amount of stress from this influx of information.  Check out this white paper to discover a system known as 'high performance data warehousing' that can help you successfully analyze and glean insights from your big data.
Posted: 11 Apr 2013 | Published: 31 Dec 2012

SAS

Harnessing the Value of Big Data Analytics
sponsored by Teradata
WHITE PAPER: Access the following white paper to uncover the tools and strategies you need to know to be able to pull actionable insight from big data. Discover how to choose the right solutions for big data analytics, the challenges of converting big data to insight, and more.
Posted: 29 Jan 2014 | Published: 29 Jan 2014

Teradata

Transforming Big Data Into Insights - IBM System
sponsored by IBM
WHITE PAPER: Learn what requirements are needed to accommodate big data analytical workloads, and how infrastructures must change.
Posted: 20 Jan 2014 | Published: 31 Oct 2013

IBM

Sybase IQ Bloor Report
sponsored by Sybase, an SAP company
WHITE PAPER: In this report, Bloor Research explores how Sybase IQ is well positioned to compete with both traditional and appliance vendors. Learn how Sybase IQ has strengths in particular areas but its overall capabilities allow it to compete across the board.
Posted: 08 Sep 2011 | Published: 08 Sep 2011

Sybase, an SAP company

The Mainframe as a Key Platform for Big Data and Analytics
sponsored by IBM
WHITE PAPER: Access the following white IDC research paper to uncover the requirements for a big data implementation and what you can do to successfully address the needs of BDA.
Posted: 19 Feb 2014 | Published: 19 Feb 2014

IBM

Smarter communications through analytics
sponsored by IBM
WHITE PAPER: As research suggests, investments in data integration and analytics that maximize the value of each customer are worthwhile and create potential for financial gain. To quantify the value of those investments, an illustrative $8 billion communications provider was modeled. Results from this effort are presented throughout this paper.
Posted: 18 Nov 2011 | Published: 18 Nov 2011

IBM