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Apache Hadoop: the Swiss Army Knife of IT by Global Knowledge
April 02, 2013 - (Free Research)
In this white paper, discover why Apache Hadoop is being credited with holding the key to the future of big data analytics. From its open-source cost-efficiency to its additive processes, this white paper details the versatility and power of Hadoop.
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Windows Azure Platform Security Essentials: Module 1 - Security Architecture by Microsoft
December 16, 2010 - (Free Research)
In this video module, Graham Calladine, Security Architect with Microsoft Services partners with the Security Talk Series to describe the security features of the Windows Azure platform, resources available to protect applications and data running on the Microsoft cloud and SQL Azure security and authentication options.
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IT matters again by ComputerWeekly.com
December 01, 2011 - (Free Research)
This report from Deloitte argues businesses are again investing in IT to provide the differentiation and innovation critical from their competitors despite the downturn.
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IBM Analytic Answers for Prioritized Collections by IBM
February 28, 2013 - (Free Research)
This resource introduces a portfolio of cloud-based analytics tools that can help deliver key business insights – allowing you to optimize collections, drive down company debt, and more – without the need for major business changes.
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Security Best Practices for Developing Windows Azure Applications by Microsoft
November 17, 2010 - (Free Research)
Are you a software designer, architect, developer or tester interested in secure cloud computing solutions? Download this breakthrough paper focusing on the security challenges and recommended approaches to design and develop more secure applications for Microsoft's Windows Azure platform.
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Top 10 Data Mining Mistakes by SAS Institute Inc.
April 07, 2010 - (Free Research)
In the following paper, we briefly describe, and illustrate from examples, what we believe are the “Top 10” mistakes of data mining, in terms of frequency and seriousness. Most are basic, though a few are subtle. All have, when undetected, left analysts worse off than if they’d never looked at their data.
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Integrated data mining - the core to customer analytics success by Infor
February 28, 2013 - (Free Research)
For most companies, data mining for customer analytics fails to live up to its potential, due to the complexity and cost of traditional tools. Inside, discover the challenges that traditional data mining systems pose and gain insight on how you can overcome them to enable customer analytics success.
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Oracle Data Mining 11g Release 2 Competing on In-Database Analytics by Oracle Corporation
June 2012 - (Free Research)
This paper offers an overview of Oracle Data Mining, detailing how you can build predictive models to better target customers, develop detailed customer profiles and detect and prevent fraud. Read on and learn how this data mining tool eliminates data extraction and movement, delivers the lowest TCO compared to traditional vendors and more.
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Oracle Data Mining 11g Release 2 Mining Star Schemas: A Telco Churn Case Study by Oracle Corporation
June 2012 - (Free Research)
This paper, based on the CACS and intended for users of the Oracle Data Miner, highlights the telco churn case study using Oracle Data Miner and explains the case study workflow methodology. Read this now and learn about preparing a database scheme and importing a pre-made Oracle Data Miner workflow.
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Using Data Mining to Detect Insurance Fraud by IBM
November 2010 - (Free Research)
Insurers lose millions each year through fraudulent claims. This paper explains how leading insurance companies are using data mining techniques to find fraudulent claims. Read on to learn how to combine powerful analytics with your existing fraud detection and prevention efforts.
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Hard Hat Area: Myths and Pitfalls of Data Mining by SPSS Inc. Worldwide Headquarters
February 2009 - (Free Research)
The intrepid data miner runs many risks, including being buried under mountains of data or disappearing along with the "mysterious disappearing terabyte." Myths and misconceptions create their own risks and need to be debunked. This article outlines some risks, debunks some myths, and provides some protective "hard hats" for data miners.
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5 Styles of Business Intelligence by MicroStrategy Incorporated
June 2008 - (Free Research)
This paper looks at the historical development of BI applications and BI technology, and concludes that five common Styles of BI have evolved during the past decade - each style representing a certain characteristic usage.
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Achieving PCI DSS Compliance with Red Hat Enterprise Virtualization for Desktops by Red Hat and JBoss
October 2009 - (Free Research)
The PCI DSS standard was created to prevent credit card fraud by requiring the implementation of certain controls and processes by all entities involved in the processing of credit cards. This paper will illustrate how Red Hat Enterprise Virtualization for Desktops can help organizations comply with specific PCI DSS mandates.
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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.
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Success Story: 360 Federal Credit Union by Unitrends
May 2013 - (Free Research)
This three-page paper discusses how 360 Federal Credit Union deployed a backup and disaster recovery solution which now provides them benefits such as, rapid, reliable, whole systems recoveries, dramatic cost savings, a unified solution for ease of use and management in a mixed environment and more.
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