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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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E-Book: Data Warehousing Technology Trends by HP
December 02, 2010 - (Free Research)
Technological innovations are rapidly changing data warehouse architectures and providing the potential for substantial performance improvements. Read this e-book to get an update on the most important trends in data warehousing, including appliance technology, columnar databases, in-database analytics and more.
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Presentation Transcript: Data Warehousing Basics for SQL Server Analysis Services by Flowerfire, Inc.
November 25, 2009 - (Free Research)
In this transcript of the "Data Warehousing Basics for SQL Server Analysis Services" webcast, learn how to build your data warehouse for your SQL Server environment. Discover the necessary steps involved and learn about major concepts, including relational data warehousing and supported SQL Server Analysis Services (SSAS) storage formats.
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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 Warehousing and Business Intelligence for IBM System z by IBM
March 18, 2011 - (Free Research)
In this paper you will read about how IBM offers not only a flexible, scalable, cost-effective mainframe platform - the IBM System z™ - but also delivers a portfolio of innovative business intelligence and data warehousing solutions for the mainframe.
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Magic Quadrant for Data Warehouse Database Management Systems by Teradata
April 25, 2011 - (Free Research)
The database warehouse DBMS market is evolving as needs change and demands for better, more efficent technology increase. With the competition for the next big database warehouse becoming more and more intense, vendors are stepping up their own marketing efforts. Because of this, it's important to know how to tell which system is right for you.
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To SAP or Not to SAP: BI and Data Warehouse Options for SAP Customers by IBM
July 07, 2010 - (Free Research)
Read this presentation transcript in which speaker Steffen Vierkorn, Head of Research and Consulting for the Business Application Research Center – BARC GmbH, offers guidance to IT System Architects, outlining the pros and cons of architectural scenarios and how to best plan to transfer to a more open and enhanced BI environment.
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How to Start Your Big Data Journey by IBM
June 12, 2013 - (Free Research)
Big data is not just about technology. It's about the value you can extract and the problems you can solve with the technology. This webcast explores five use cases that are excellent starting points for beginning the big data journey. Watch now to learn how to leverage big data technology and strategy for success.
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IBM: What we learned from data marts and consolidation by IBM
April 18, 2011 - (Free Research)
This blog post takes a closer look at data marts and how data warehouses evolved from them. Learn about the pros and cons of this technology as well as trends to expect for the future.
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Postgres Plus 8.4 vs. MySQL 5.5: Feature Comparison and Commentary by EnterpriseDB Corporation
September 01, 2010 - (Free Research)
This paper compares Postgres Plus Standard Server and Postgres Plus Advanced Server 8.4 against MySQL 5.5. The comparison is broken down into a number of sections with a short commentary following each section. Read on to learn how the Postgres Plus 8.4 stacks up against MySQL 5.5 on all the above topics and learn which one comes out on top.
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Tip Guide: The Good Data Mart by SAP America, Inc.
November 04, 2011 - (Free Research)
In this Tip Guide, readers will learn compelling reasons why organizations choose to build and support multiple dependent data marts.
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Analytic Platforms:Beyond the Traditional Data Warehouse by Kognitio
June 07, 2013 - (Free Research)
Businesses are focused on making more sophisticated, real-time business analysis available to more users on larger, richer sets of data. As a result, the analytic platform has been introduced. View this resource to find out the key functions this platform provides as well as key information from survey respondents.
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Data Migration Planning Guide by Varonis
January 11, 2013 - (Free Research)
This exclusive white paper explores some of the challenges IT faces when migrating and archiving data. Inside you'll find a migration planning guide taking these challenges into account, a new approach to solving these challenges using metadata and automation, and more.
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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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The Agile Data Warehouse Webinar - Next Generation BI by RightScale
February 24, 2010 - (Free Research)
Watch this webinar and find out about the new approach to Business Intelligence (BI) that takes advantage of the cloud as a disruptive technology combined with next-generation software applications.
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eGuide: Understanding SAP HANA by Hewlett-Packard Limited
September 10, 2012 - (Free Research)
SAP has said that it considers its in-memory data analytics enabler HANA the centerpiece of its IT strategy going forward, and that it will eventually power all SAP applications. But how exactly does in-memory technology work, and how might it affect your IT operations? Read this expert e-guide to find out.
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Hard Hat Area: Myths and Pitfalls of Data Mining by SPSS Inc. Worldwide Headquarters
February 20, 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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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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