Dataware House White Papers

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Managing Big Data Using Sybase IQ VLDB Option
sponsored by Sybase, an SAP company
WHITE PAPER: This brief white paper outlines information lifecycle management (ILM), a set of strategies for managing the growth, storage and retrieval of information over its useful life. Its goal is to ensure that frequently accessed data is returned as fast as possible, while controlling storage costs.
Posted: 01 Dec 2011 | Published: 01 Dec 2011

Sybase, an SAP company

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

A foundation for database simplification, consolidation and cost reduction
sponsored by IBM
WHITE PAPER: This white paper challenges the x86 processor trend, demonstrating that modern mainframe technology represents a scale-up option to the current racks filled with blades. It looks at the way organizations can benefit in terms of improved agility, increased reliability and cost savings by consolidating Oracle databases onto IBM’s zEnterprise.
Posted: 14 Feb 2012 | Published: 14 Feb 2012

IBM

Succeeding with Data Virtualization - High Value Use Cases for Operational and Data Management Data Services
sponsored by Denodo Technologies
WHITE PAPER: This paper discusses virtual data services for operational business processing and data management as well as successful virtualization use cases.
Posted: 30 Mar 2012 | Published: 30 Mar 2012

Denodo Technologies

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

Comparison: IBM Netezza Data Warehouse Appliance vs. Oracle Exadata
sponsored by IBM
WHITE PAPER: This white paper offers up a comprehensive comparison of the Oracle Exadata and IBM Netezza data warehouse appliance, helping you decide which is the better fit for your business. Read this now and learn how they stack up in terms of online transaction processing (OLTP), query performance, simplicity of operation, value and more.
Posted: 30 May 2012 | Published: 18 Jan 2012

IBM

Are Big Files Big Problems?
sponsored by OpenText
WHITE PAPER: This paper discusses the challenges associated with file transfer solutions and how managed file transfer solutions solve these problems.
Posted: 17 Oct 2013 | Published: 17 Oct 2013

OpenText

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

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

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