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E-Guide: Building a Strong Case for Deduplication by Quantum Corporation
July 27, 2010 - (Free Research)
Read this e-guide for tips on implementing data deduplication, one of the hottest technologies in data backup and primary storage. Learn all about the advantages and disadvantages of data deduplication as well as the key dos and don’ts of implementing this technology.
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HP Database Archiving Software by Hewlett-Packard Information Management Software (IM)
August 19, 2011 - (Free Research)
This comprehensive paper demonstrates how data management and HP database Archiving software solves the problems that arise as a result of increased database size and unmanaged growth in production databases.
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Deduplication: Effectively Reducing the Cost of Backup and Storage by AppAssure Software, Inc.
August 18, 2009 - (Free Research)
Organizations have to backup and store data. Compliance requirements demand that data be stored for periods of time. Reducing the cost of backup and storage starts with reducing the amount of data that is backed up and stored. Learn how deduplication, along with server-based backup processes can reduce your storage management costs.
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Considering a Services Approach for Data Quality by Pitney Bowes Group 1 Software
September 2011 - (Free Research)
This white paper explains the benefits of working with a services appoarch to data quality and how you can avoid errors within your data.
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Building a Tangible ROI for Data Quality by Harte-Hanks Trillium Software
March 2012 - (Free Research)
This white paper covers common issues and recommendations on building a business case for data quality initiatives.
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E-Book: Cloud Computing in the UK - The Next Phase by Google
November 2010 - (Free Research)
This e-book is meant to provide guidance for managing applications in the cloud. Read on to learn why cloud adoption is ramping up in the UK, strategies for migrating and integrating new cloud models into your existing infrastructure, best practices from CIOs, solution providers and analysts, and much more!
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Best Practices for Implementing a High-Performance Data Warehouse by SAS Institute Inc.
December 2012 - (Free Research)
There are more new forms of data today than ever before, and traditional business intelligence systems cannot always handle the amount of stress from this influx of information. Check out this white paper to discover a system known as 'high performance data warehousing' that can help you successfully analyze and glean insights from your big data.
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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.
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Best Practices for Implementing a Data Warehouse on Oracle Exadata Database Machine by Oracle Corporation
November 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.
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Case Study: IRLY Distributors by Intermec
February 2013 - (Free Research)
Distributing company, IRL, was looking to implement a full Warehouse Management System (WMS) that would not only fully track all warehouse materials, but provide the technology needed to increase efficiency by 10 percent. Read this case study to learn about the WMS technologies helped them increase productivity and cut training time.
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Cost Effective Techniques for Designing the Data Warehouse by Embarcadero Technologies, Inc.
November 2010 - (Free Research)
A cost effective data warehouse project doesn't have to be an oxymoron. Rather than committing to a full-fledged waterfall style approach, it is possible to build a data warehouse incrementally and inexpensively, while at the same time preserving high-level architectural goals that lead to a true enterprise data warehouse. View this webcast now.
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