Datawarehousing White Papers

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The Next Wave of Data Management : Is Big Data The New Normal?
sponsored by Talend
WHITE PAPER: The following white paper reviews the business drivers that are impacting the new wave of data management, highlights the new tools companies have for consideration in their next generation data architecture, and finally outlines a total data management blueprint for consideration in your big data strategy.
Posted: 28 Jul 2014 | Published: 28 Jul 2014

Talend

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

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

Data Quality: The Foundation of Operational Effectiveness
sponsored by Pitney Bowes Group 1 Software
WHITE PAPER: This white paper discusses the importance of data quality operations and how to successfully implement a data quality strategy into your organization.
Posted: 13 Sep 2011 | Published: 13 Sep 2011

Pitney Bowes Group 1 Software

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

Deliver Better Results Across the Data Management Lifecycle: HP AppSystem for Microsoft SQL Server 2012 Parallel Data Warehouse
sponsored by HP Inc
WHITE PAPER: The following whitepaper outlines the important steps to consider when implementing a diversified data management strategy.
Posted: 18 Oct 2013 | Published: 18 Oct 2013

HP Inc

Increase ROI with better enterprise data warehouse performance
sponsored by Vertica Systems
WHITE PAPER: Today, Enterprise Data Warehouses (EDW) are treasure troves of information and critical for business operations. Access this resource to discover how offloading certain analytics workloads to a third-party platform can increase the performance and longevity of your EDW.
Posted: 21 Oct 2011 | Published: 21 Oct 2011

Vertica Systems

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

The Mainframe as a Key Platform for Big Data and Analytics
sponsored by IBM
WHITE PAPER: Access the following white IDC research paper to uncover the requirements for a big data implementation and what you can do to successfully address the needs of BDA.
Posted: 19 Feb 2014 | Published: 19 Feb 2014

IBM

Go from analysis to action on your desktop: IBM Cognos Insight guides business analysts to faster, better outcomes
sponsored by IBM
WHITE PAPER: Today, business need a fast and simple way to analyze data. Unfortunately, many users have limited access to the information they need. Consult this resource to find out how a personal analytics tool can help improve your employee performance. It explains several beneficial applications and the new opportunities they will provide.
Posted: 15 Jul 2013 | Published: 15 Jul 2013

IBM