Data Ware-house White Papers

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Oracle Database 11g for Data Warehousing and Business Intelligence
sponsored by Oracle Corporation
WHITE PAPER: This white paper provides an overview of Oracle's capabilities for data warehousing, and discusses the key features and technologies by which Oracle-based business intelligence and data warehouse systems easily integrate information, perform fast queries, scale to very large data volumes and analyze any data.
Posted: 08 Dec 2011 | Published: 30 Sep 2009

Oracle Corporation

The Technology of the Business Data Lake
sponsored by Pivotal
WHITE PAPER: This white paper discusses an approach other than enterprise data warehouses (EDWs) to meet organizations reporting and operational needs.
Posted: 05 May 2014 | Published: 31 Dec 2013

Pivotal

INFORMATION FOR SUCCESS: Enterprises Standardize on Oracle Database 11g
sponsored by Oracle Corporation
WHITE PAPER: This customer reference booklet contains a sample of real business results that organizations around the world, across a variety of industries, have achieved by upgrading and standardizing on Oracle Database 11g.
Posted: 29 Sep 2011 | Published: 29 Sep 2011

Oracle Corporation

Rapid-deployment solution—retail business with SAP HANA
sponsored by Hewlett-Packard Enterprise
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 Enterprise

Boost the Value of Information With Master Data Management
sponsored by Information Builders
WHITE PAPER: This paper explains master data in more detail, offers guidance for planning a master data management (MDM) plan and focuses on aligning IT with your business needs.
Posted: 05 Dec 2011 | Published: 05 Dec 2011

Information Builders

SQL Server 2012 Fast Track Data Warehouse on PowerEdge R720xd
sponsored by Dell and Microsoft SQL
WHITE PAPER: Read this white paper to learn how to configure your SQL Server data warehousing system to support growing online analytical processing (OLAP) loads while lowering costs, easing management, and improving performance.
Posted: 21 Jun 2012 | Published: 31 May 2012

Dell and Microsoft SQL

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

How Analytics Bring Organizations Closer to Their Customers
sponsored by IBM
WHITE PAPER: Access the following white paper to uncover expert insights on how to leverage business intelligence coupled with predictive analytics to take your customer relationships to the next level. Uncover the importance of customer intimacy and how you can achieve it easily and efficiently.
Posted: 17 Dec 2013 | Published: 17 Dec 2013

IBM

Fiserv: Saving $8 million in five years and helping banks improve business outcomes using IBM technology
sponsored by IBM
WHITE PAPER: Access the following white paper to uncover an analytics solution that is helping banks compete with their larger counterparts. Discover how you can gain the critical analytical insights from your data—fast—when you need it and where you need it, all while saving capital to push towards innovation
Posted: 20 Dec 2013 | Published: 20 Dec 2013

IBM

Cost/Benefit Case for IBM PureData System for Analytics: Comparing Costs and Time to Value with Teradata Data Warehouse Appliance
sponsored by IBM
WHITE PAPER: Appliances are no longer a single category of solution. The market has segmented into offerings designed for different types and sizes of workload. Access this white paper today to learn about the principal competitors in the midrange to high-end appliance bracket, and more.
Posted: 22 Nov 2013 | Published: 30 Apr 2013

IBM