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Data Ware-house White Papers (View All Report Types)
 
IBM DB2 BLU Acceleration vs. SAP HANA vs. Oracle Exadata
sponsored by IBM
WHITE PAPER: Consult the following white paper to get a firsthand look at how IBM BD2 BLU Acceleration, SAP HANA, and Oracle Exadata compare when it comes to handling big data. Learn about what they bring to the table and how to ultimately choose the right solution for your business.
Posted: 07 Oct 2014 | Published: 07 Oct 2014

IBM

Use Analytics to Innovate and Lead in Today's Banking Environment
sponsored by IBM
WHITE PAPER: Banks are bringing together big data projects, transactional processing, data warehousing and analytic tooling. Find out how IBM DB2 for z/OS and DB2 Analytics Accelerator in an IBM zEnterprise environment can help.
Posted: 22 Apr 2014 | Published: 31 Mar 2014

IBM

A Checklist for Developing a Mature Big Data Environment for Real-Time Insights
sponsored by Cray and Intel
WHITE PAPER: This white paper explores the importance of maturing your big data environment from collection-based to a more effective real-time analytics platform. Learn about the technology to consider, strategies, to use, and much more.
Posted: 20 Feb 2015 | Published: 20 Feb 2015

Cray and Intel

Rapid-deployment solution—retail business with SAP HANA
sponsored by Hewlett-Packard Limited
WHITE PAPER: Access the following white paper to uncover how to enable a faster SAP HANA deployment time and an overall faster time to ROI. Learn about the prerequisites for a smooth adoption, where to turn for additional services, and more.
Posted: 13 Mar 2014 | Published: 13 Mar 2014

Hewlett-Packard Limited

Maintaining Optimal Data Warehouse Performance
sponsored by HP
WHITE PAPER: This brief resource offers insight into the HP AppSystem for Microsoft SQL Server 2012 Parallel Data Warehouse. Inside, learn how this tool, jointly engineered with Microsoft for data warehouse and business intelligence (BI) requirements will help you make key business decisions more quickly.
Posted: 29 Oct 2013 | Published: 31 May 2013

HP

Ziff Davis: Maximizing Performance and Minimizing Cost with Interactive Business Intelligence
sponsored by IBM
WHITE PAPER: View this white paper to learn how IT decision makers can drive faster analytics over large data volumes in a data warehouse. It outlines how you can give end users the ability to have a more interactive analysis using online analytical processing (analysis.)
Posted: 10 Apr 2013 | Published: 10 Apr 2013

IBM

Apache Hadoop Patterns of Use
sponsored by Hortonworks
WHITE PAPER: When it comes to Hadoop, the technology most often associated with big data, why is it so popular? Does it actually live up to the vendor hype? Check out this informative resource to get the real guidance you need to figure out where Hadoop fits into your organization, and how you can leverage it to extract the most from your big data.
Posted: 17 Jul 2013 | Published: 30 Apr 2013

Hortonworks

The Proven Big Data In-memory Analytical Platform
sponsored by Kognitio
WHITE PAPER: In this resource, discover an in-memory analytical platform that's purpose-built for complex analytics. Learn how this relational database can help you handle the growing volume, velocity, and variety of data in your enterprise efficiently and effectively.
Posted: 11 Jun 2013 | Published: 11 Jun 2013

Kognitio

Universitätsklinikum Erlangen strengthens analytics expertise and focuses on a customised healthcare analytics solution
sponsored by IBM
WHITE PAPER: View this white paper to learn how one company strengthened analytics by developing a focus on customised healthcare. It linked to relevant operational systems, how to optimise information flow and how to support the overall strategic control of the hospital at just the touch of a button.
Posted: 11 Apr 2013 | Published: 11 Apr 2013

IBM

Rapid Deployment and Expansion: Business Analytics and Data Warehousing on System z
sponsored by IBM
WHITE PAPER: The following white paper addresses the challenges with expansion and how to overcome them. Discover cost-effective ways to choose from turn-key deployment and keep pace with the rapid growth of user data.
Posted: 12 Nov 2013 | Published: 12 Nov 2013

IBM
 
 
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