Datawarehouse White Papers

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Data Warehousing 2.0- Modeling and Metadata Strategies for Next Generation Architectures
sponsored by Embarcadero Technologies, Inc.
WHITE PAPER: Read this white paper and learn how the data warehouse, metadata and modeling environment will be transformed in the next few years — and what you need to do to leverage it for your business, the major components of DW 2.0 architectures, and key modeling and metadata management strategies for DW 2.0.
Posted: 26 Jan 2012 | Published: 19 Jan 2012

Embarcadero Technologies, Inc.

Enterprise Information Archiving: It’s Time for a New Strategy
sponsored by OpenText
WHITE PAPER: Access the following white paper to discover what poor archiving really is. Learn if you're keeping too much or too little, where to turn for cost-effective storage, and more.
Posted: 24 Feb 2014 | Published: 24 Feb 2014

OpenText

What's New in IBM InfoSphere Information Server 8.7
sponsored by IBM
WHITE PAPER: IBM InfoSphere Information Server is a data integration platform that enables organizations to meet their trusted information requirements. It helps integrate heterogeneous information from across an organization’s IT environment, making it possible to understand, transform and deliver trusted information for critical business initiatives.
Posted: 21 Nov 2011 | Published: 21 Nov 2011

IBM

Building a Trusted SAP HANA Data Center
sponsored by Cisco and SAP
WHITE PAPER: In this comprehensive resource, explore a variety of hardware appliances that are SAP-approved as platforms for HANA. Discover how these appliances from Cisco, EMC, and VCE can benefit your SAP HANA implementation, and evaluate how they stack up against the five essential characteristics of a SAP HANA hardware platform.
Posted: 22 Apr 2014 | Published: 22 Apr 2014

Cisco and SAP

The fast lane to insight: Accelerating analytics from the department to the enterprise
sponsored by IBM
WHITE PAPER: This resource explores the limitations and challenges of existing data warehousing tools, and introduces a data warehouse strategy that can help you accelerate analytics and drive business success.
Posted: 28 Oct 2013 | Published: 30 Apr 2013

IBM

Best Practices for Implementing a Data Warehouse on Oracle Exadata Database Machine
sponsored by Oracle Corporation
WHITE PAPER: By using the Oracle Exadata Database Machine as a data warehouse platform you have a balanced, high performance hardware configuration. This paper focuses on the other two corner stones, data modeling and data loading, providing a set of best practices and examples for deploying a data warehouse on the Oracle Exadata Database Machine.
Posted: 12 Mar 2012 | Published: 30 Sep 2010

Oracle Corporation

Enterprise Solution Design for SAP HANA
sponsored by HP & Intel®
WHITE PAPER: In this resource, explore the three principles of great enterprise design—stability, scalability, and agility—and learn how to apply them to your SAP landscape with a focus on SAP HANA. Read on for best practices and key design considerations for implementing your SAP HANA enterprise-level solution.
Posted: 25 Sep 2013 | Published: 28 Feb 2013

HP & Intel®

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

Oracle: Big Data for the Enterprise
sponsored by Oracle Corporation
WHITE PAPER: By using the Oracle big data appliance with Oracle Exadata, enterprises can acquire, organize and analyze all their enterprise data to make the most informed decisions.
Posted: 12 Dec 2011 | Published: 12 Dec 2011

Oracle Corporation

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