Dataware House White Papers

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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

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

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

Oracle Procurement and Spend Analytics
sponsored by Oracle Corporation
WHITE PAPER: Through complete end-to-end insight into the factors that impact company performance, you can significantly reduce costs, enhance profitability, increase customer satisfaction and gain competitive advantage.
Posted: 12 Dec 2011 | Published: 12 Dec 2011

Oracle Corporation

Delivering Trusted Information for Big Data and Data Warehousing
sponsored by IBM
WHITE PAPER: This resource examines how an integration and governance strategy can help you deliver trusted information for big data and data warehousing. Read on to learn how you can set the stage for more effective, reliable decision-making.
Posted: 18 Dec 2013 | Published: 31 Dec 2012

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

Architecting A Big Data Platform for Analytics
sponsored by IBM
WHITE PAPER: Business is now demanding more analytical power to analyze new sources of structured and multi-structured data. The IBM Big Data Platform rises to the challenge to create this new analytical environment, making IBM a serious contender to support end-to-end analytical workloads.
Posted: 14 Aug 2013 | Published: 31 Oct 2012

IBM

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.

Driving information-led business innovation with IBM InfoSphere Information Server
sponsored by IBM
WHITE PAPER: This white paper identifies a shift in corporate thinking about the value of trusted information to the organization and outlines reasons why this shift is occurring. It explores common information integration challenges and outlines a list of key characteristics needed for an effective information integration solution.
Posted: 21 Nov 2011 | Published: 21 Nov 2011

IBM

Shift from data to insight: A new approach to business intelligence and analytics
sponsored by Hewlett Packard Enterprise
WHITE PAPER: To fully realize the value of all the data available, companies need to take a more scientific, collaborative approach to business intelligence (BI). In this helpful resource, learn about a relationship-based approach to BI and analytics that realigns key responsibilities to better match the needs of your enterprise.
Posted: 28 Jun 2013 | Published: 31 Jul 2012

Hewlett Packard Enterprise