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Data Ware-house White Papers (View All Report Types)
 
Gabriel Consulting: Linux is the System of Choice
sponsored by IBM
WHITE PAPER: Check out the following report to take a detailed look at the world of big data and enterprise analytics including topics such as: the differences between analytics usage models, useful definitions, and technology recommendations to consider for your own big data and analytics projects.
Posted: 02 Dec 2014 | Published: 02 Dec 2014

IBM

Make Sense of Big Data
sponsored by IBM
WHITE PAPER: Big data is everywhere, but unfortunately for many, its delivering more of a headache than the much hyped about benefits. So when it comes down to it, what does it really take to make sense of big data and have it deliver on those promises? Access the following white paper to learn how real-time analytics can help.
Posted: 26 Jan 2015 | Published: 26 Jan 2015

IBM

Big Data's Big Impact on Data Warehousing
sponsored by SearchDataManagement
WHITE PAPER: Access the following expert white paper to hear from Wayne Eckerson as he weighs in on the current state of big data and the respecting technologies that intend to help business leverage value from their big data silos.
Posted: 07 Oct 2014 | Published: 07 Oct 2014

SearchDataManagement

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

Red Hat JBoss Data Grid: The Perfect Solution for Big Data and Application Performance
sponsored by Red Hat
WHITE PAPER: Big data requires real-time access to data, scalability, and non-disruptive technology - qualities that relational databases just don't have. In this resource, discover how an in-memory data grid (IMDG) addresses the challenges posed by big data and application performance, and learn how one particular data grid can benefit your IT department.
Posted: 07 Jun 2013 | Published: 30 Jun 2012

Red Hat

IBM Informix Warehouse Accelerator
sponsored by IBM
WHITE PAPER: To improve the performance of data warehouse queries while minimizing manual tuning, DBAs can turn to the IBM Informix Warehouse Accelerator. Access this white paper to learn more about how fast response time generates quick answers, quick insights, and an agile business.
Posted: 29 Aug 2013 | Published: 31 Oct 2011

IBM

Best Practices for Decision Support Systems with Microsoft SQL Server 2012 using Dell EqualLogic PS Series Storage Arrays
sponsored by Dell and VMware
WHITE PAPER: This white paper describes sizing and best practices for deploying a data warehouse in order to prevent bottlenecks and deliver a cost-effective solution.
Posted: 29 Aug 2013 | Published: 31 Jul 2013

Dell and VMware

IBM Cognos Data Manager
sponsored by IBM
WHITE PAPER: Access the following white paper to uncover how a data manager works seamlessly with your Cognos BI solution to help simplify the way your data is presented. Get a firsthand look at how simplification can effectively increase the performance of the end user and more.
Posted: 15 Jan 2014 | Published: 15 Jan 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

Unified Data Architecture
sponsored by Teradata
WHITE PAPER: Access the following e-book to uncover the tools and strategies you need to get the most out of big data. Learn from leading authors in the field of data management as they explain some of the common mistakes made by analytics professionals while mining for new insights and what you can do to avoid them.
Posted: 31 Jan 2014 | Published: 31 Jan 2014

Teradata
 
 
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