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Featured Sponsors
M2M Innovations Invigorate Warehouse Management by SearchManufacturingERP
April 23, 2013 - (Free Research)
In this expert eBook, manufacturers will learn how machine-to-machine (M2M) technology is bridging real-time information gaps. Also inside, explore the universe of M2M software options, and uncover tips for deploying this technology in the warehouse.
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Harness Your Data for Better, Faster Decision-Making by Dell Software
May 10, 2013 - (Free Research)
In this new Dell white paper, learn about the challenges of data warehouses. Then, discover a powerful data warehouse appliance that can be quickly deployed, loads data almost immediately and helps eliminate the challenges of traditional data warehouse strategies. Download this valuable white paper today.
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Key Considerations in Evaluating Data Warehouse Appliances by Dell Software
December 31, 2012 - (Free Research)
Is a data warehouse appliance right for you? Is your company ready to consider a data warehouse appliance? In this new white paper, learn about their evolution, pros and cons and if this technology is the right fit for your business. Read it today.
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Event Data Warehousing by Sensage, Inc.
July 1967 - (Free Research)
This white paper describes that data warehousing should not necessarily be the basis upon which companies retain and query historic data for prolonged periods.
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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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Magic Quadrant for Data Warehouse Database Management Systems (Gartner) by Teradata
April 2011 - (Free Research)
The data warehouse DBMS market is undergoing a transformation, including many acquisitions, as vendors adapt data warehouses to support the modern business intelligence and analytic workload requirements of users. This document compares 16 vendors, including IBM & Netezza, to help customers find the right one for their needs.
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Beyond the Data Warehouse: A Unified Information Store (UIS) for Data and Content by Attivio, Inc.
May 2010 - (Free Research)
Since the inception of web 2.0 technologies, there is now a need to unify data and content. This paper defines a UIS architecture as the approach to unification. Continue reading this paper to learn how data and content are uniting and moving beyond the data warehouse and how a UIS architecture is the solution to unification.
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Big Data Analytics and The New Era of Data Warehousing by Information Builders
December 2011 - (Free Research)
This paper discusses how customer demands have prompted recent changes in the data warehouse market, and how those changes are opening the door for a new breed of vendors beyond those who previously dominated the industry with stack offerings.
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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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E-Book: How to Evaluate Data Warehouse Appliances by Sybase, an SAP company
October 2009 - (Free Research)
Business Intelligence and analytics remain top priorities for organizations seeking to increase revenues and cut costs, but these systems often require a data warehouse to feed them correct and relevant information. This E-Book provides detailed expert advice on how to evaluate, select and prepare your organization for a data warehouse appliance.
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Speeding ETL Processing in Data Warehouses by Syncsort
August 2008 - (Free Research)
This white paper discusses how two operations in particular -- joins and aggregations -- play an integral role during preprocessing as well in manipulating and consolidating data in a data warehouse.
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A New Breed of Data Warehouse by ASG Software Solutions
February 2010 - (Free Research)
Read this paper to learn about an emerging data warehouse technology that addresses many of the implementation challenges organizations face.
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Warehouse Management Solutions: Embedded or Best-of-Breed? by Epicor Software Corporation
January 2006 - (Free Research)
Warehouse management solutions (WMS) help increase customer satisfaction, productivity and utilize resources. Learn cost factors and questions to ask that will help you decide between and embedded and stand-alone system.
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ADVANCED WAREHOUSING WITH SAP® EWM by SAP America, Inc.
January 2013 - (Free Research)
Large warehouses can have an overwhelming amount of responsibility when it comes to ensuring that orders are delivered on time and accurately. Fortunately, a solid supply chain management system can virtually eliminate all problems for warehouse management. View this resource to learn how SAP can improve your business.
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Extended Warehouse Management with SAP SCM by SAP America, Inc.
April 2012 - (Free Research)
<p>Discover how SAP supply chain management has been extended to provider more in-depth warehouse management support through SAP Extended Warehouse Management (SAP EWM) and how it supports higher process and stock visibility, better warehouse operations planning, and better efficiency.</p>
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The emerging intersection of data warehousing and analytics by IBM
May 2011 - (Free Research)
In this presentation transcript, BI expert Wayne Eckerson will discuss the emerging intersection of data warehousing and analytics, including the business value in optimizing processes and in-database analytics.
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Data Warehousing and Business Intelligence for IBM System z by IBM
June 2008 - (Free Research)
Today, data warehousing and business intelligence are mission-critical functions for organizations of all types and sizes. IBM System z supports the entire data warehousing cycle, along with business intelligence software to deliver a total solution infrastructure. Read this white paper to learn more.
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