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Hadoop Helps Bring ‘Big Data’ into a Data Warehouse Environment - Quickly by SAP America, Inc.
March 20, 2013 - (Free Research)
View this expert e-guide to find out how to incorporate unstructured data into data warehousing processes. Learn more about how you can extend data warehouse environments to manage big data and improve your approach to business intelligence.
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Harness Your Data for Better, Faster Decision-Making by Quest Software, now a part of Dell
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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Beyond the Data Warehouse: A Unified Information Store (UIS) for Data and Content by Attivio, Inc.
May 27, 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 05, 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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E-Book: How to Evaluate Data Warehouse Appliances by Sybase, an SAP company
October 21, 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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Ebook: How to Evaluate Data Warehouse Appliances by Oracle Corporation
August 17, 2011 - (Free Research)
This expert E-Book from SearchOracle.com provides detailed advice on how to evaluate, select and prepare your organization for a data warehouse appliance.
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Ebook: How to Evaluate Data Warehouse Appliances by Oracle Corporation
August 17, 2011 - (Free Research)
This expert E-Book from SearchOracle.com provides detailed advice on how to evaluate, select and prepare your organization for a data warehouse appliance.
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Presentation Transcript: Unraveling the Data Warehouse Performance Traffic Jam by Teradata
December 07, 2012 - (Free Research)
Today's data warehouse architectures can be highly-complex, expensive to maintain and overburdened by the increasing demand for advanced analytical workloads. Review this presentation transcript to learn the importance of deploying database technology that can handle mixed, shifting, and high-concurrency workloads, and more.
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Comparison: IBM Netezza Data Warehouse Appliance vs. Oracle Exadata by IBM
January 18, 2012 - (Free Research)
This white paper offers up a comprehensive comparison of the Oracle Exadata and IBM Netezza data warehouse appliance, helping you decide which is the better fit for your business. Read this now and learn how they stack up in terms of online transaction processing (OLTP), query performance, simplicity of operation, value and more.
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E-Guide: Data Warehousing in SQL Server Environments by Dell and Microsoft
June 15, 2012 - (Free Research)
What's different about Microsoft's latest release, SQL Server 2012, that has midsize companies considering it for their big data analytics and data warehousing needs? Read this expert e-guide to find out. Also, find tips on choosing between SQL Server's native backup compression and third-party tools.
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Data Mart Consolidation by Hexaware Technologies
September 12, 2011 - (Free Research)
This white paper explores how Data Mart consolidation is an effective tool for saving money when dealing with large volumes of data.
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Magic Quadrant for Data Warehouse Database Management Systems (Gartner) by Teradata
April 11, 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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Best Practices for Implementing a High-Performance Data Warehouse by SAS Institute Inc.
December 31, 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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Data warehousing technology trends by HP
August 31, 2011 - (Free Research)
An eBook that helps selects the right data warehouse platform for your organization and furthers understanding in-database analytics technology.
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Advances in Data Warehouse Performance by IBM
August 2008 - (Free Research)
Learn how DB2 can help you meet the demands of business intelligence by reducing query response time from hours to seconds, supporting real time data warehousing, and optimizing your storage while lowering operating costs.
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IBM Smart Analytics System Brochure by IBM
March 2011 - (Free Research)
The IBM Smart Analytics System helps accelerate the delivery of insights for faster, smarter action; helps lower the cost of deriving more value from enterprise information; and features a modular architecture that enables organizations to easily add capacity and adapt to changing business needs. Check out this paper now to learn more.
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BI Trends and Strategies E-Zine Issue 1 by SearchBusinessAnalytics
January 2012 - (Free Research)
The inaugural issue of BI Trends & Strategies offers sound advice to help you in ensuring your organization is on track to keep up with the rapidly changing landscape of BI and analytics. In this issue, readers will learn about a big data definition and the impact it will have on BI and data warehousing, agile development methodology and more.
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