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Overcoming the insight deficit by ComputerWeekly.com
September 05, 2011 - (Free Research) Learn how you can empower your employees to make the most of big data and data analytics in this executive guide from the Corporate Executive Board.
Accenture Technology Vision 2012 by ComputerWeekly.com
January 23, 2012 - (Free Research) Download this report from Accenture to discover the 6 IT technology trends that will impact CIOs in 2012.
4G mobile phone (LTE) revenue opportunities for business by ComputerWeekly.com
November 25, 2010 - (Free Research) This Whitepaper is based on Juniper Research’s November 2010 report entitled: “4G LTE Revenue Opportunities: Business Models, Scenarios and Operator Strategies 2010-2015”.
The global state of the PMO: The IT perspective by ComputerWeekly.com
May 05, 2011 - (Free Research) This benchmarking study from ESI International identifies the trends impacting the project management function in IT industry in three areas: PMO maturity, measuring and reporting on PMO effectiveness, as well as training involvement.
HP Business Service Management by Hewlett-Packard Company
February 04, 2011 - (Free Research) HP Business Service Management solutions enable your IT organization to monitor and maintain the health of the key business services and processes it supports, and to make improvements to those processes to better support the business.
How data warehouse accelerators will benefit your business by IBM
October 12, 2011 - (Free Research) Read this insightful white paper now and learn how a data warehouse accelerator can help you swiftly decipher patterns, predict future trends and improve the overall performance of your warehouse while also minimising manual tuning.
Video: Data warehouse accelerators and their effect on query times by IBM
March 28, 2012 - (Free Research) Watch this brief videocast now and learn how a data warehouse accelerator can offer your organization the ability to run consistently complex queries at real-time speeds to help you swiftly decipher patterns, predict future trends and adjust your business climate accordingly, eventually handing you the edge over any and all competitors.
Measuring Employee Performance the Right Way by SuccessFactors
April 27, 2012 - (Free Research) This white paper explores employee performance in today's organizations and examines how poor data analysis is contributing to percentage increases. Discover the right way to measure performance by ensuring data validity through key tactics and realize how accurate measurements can help drive business success.
Big Data and Data Warehousing Architectures by Talend
April 19, 2012 - (Free Research) Industry expert Wayne Eckerson knows a thing or two about big data and how to handle it. So, it's in your best interest to view the second installment of a two-part video series as Eckerson discusses data warehouse architectures for storing big data. Learn how to evaluate whether data architectures can handle big data, amongst much more.
The Intersection of Big Data and Data Warehousing by Talend
April 19, 2012 - (Free Research) Big data can present big problems. Just ask expert Wayne Eckerson, who takes some time in this first installment of a two-part video series to discuss the common issues surrounding the management of big data growth in a data warehouse. Learn why big data is more pivotal than ever, how you can gain a competitive advantage by analyzing it and more.
Comprehensive Data Warehousing & BI Solution with Oracle Database 11g by Oracle Corporation
October 2007 - (Free Research) This white-paper provides an overview of Oracle Database 11g's capabilities for data warehousing, and discuses its key features and technologies. Discover how to integrate information, perform fast queries, scale to very large data volumes, and more.
Oracle Database 11g Release 2 for Data Warehousing and Business Intelligence by Oracle Corporation
April 2011 - (Free Research) 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.
E-Book: Navigating the Data Warehouse Appliance Selection and Purchase Process by Oracle Corporation
May 2011 - (Free Research) In this E-Book, IT and data warehousing professionals and business executives involved in data warehouse purchases will get an overview of data warehouse appliance trends and practical advice on how to evaluate and choose the right appliances for their organizations.
Best Practices for Implementing a Data Warehouse on Oracle Exadata Database Machine by Oracle Corporation
September 2010 - (Free Research) 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.
Oracle Exadata Database Machine Warehouse Architectural Comparisons by Oracle Corporation
February 2011 - (Free Research) Exadata is Oracle’s fastest growing new product. Much of the growth of Exadata has come at the expense of specialized data warehouse appliance vendors. These vendors have published competitive comparisons to Exadata. Continue reading the learn more.
Oracle Database 11g for Data Warehousing and Business Intelligence by Oracle Corporation
September 2009 - (Free Research) 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.
Best Practices for a Data Warehouse on Oracle Database 11g by Oracle Corporation
January 2009 - (Free Research) In order to ensure the enterprise data warehouse will get the optimal performance and will scale as your data set grows you need to get three fundamental things correct, the hardware configuration, the data model and the data loading process.
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