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Data Warehouses

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ALSO CALLED: Data Stores, Datawarehousing, Data Ware-house, Datawarehouse, Data Warehousing, Knowledge Warehouse, Dataware House
DEFINITION: A data warehouse is a central repository for all or significant parts of the data that an enterprise's various business systems collect. The term was coined by W. H. Inmon. IBM sometimes uses the term "information warehouse." Typically, a data warehouse is housed on an enterprise mainframe server. Data from various online transaction processing (OLTP) applications and other sources is selectively  … 
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Data Warehouses Reports
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Looking into Data Warehouse Management? Do Your Homework First
sponsored by SAP
WHITE PAPER: This helpful e-guide illustrates the ways these platforms deliver business value that justifies the cost. Along with learning myriad examples of how real-time, operational reporting and data is worth the price tag, you'll find first-hand accounts of how in-memory data warehousing has served real companies for the better.
Posted: 24 Mar 2015 | Published: 24 Mar 2015

SAP

High Performance Analytics Tools: Bringing Speedier Data Processing to Businesses
sponsored by SAP
EGUIDE: This e-guide lays out the basics on what faster analytics processing systems can do for organizations. Discover the benefits brought on by these tools, including higher volumes of operational and transactional data, which is processed in real time.
Posted: 24 Mar 2015 | Published: 24 Mar 2015

SAP

BI in the Sky: Making Cloud Analytics Work
sponsored by SearchBusinessAnalytics
EBOOK: Cloud BI offers companies many advantages. Find out if those benefits apply to your organization.
Posted: 13 Mar 2015 | Published: 13 Mar 2015

SearchBusinessAnalytics

Data Warehouse Appliances' Promises of Speed and Simpler Landscapes Have Customers Listening
sponsored by SAP
EGUIDE: Access this expert guide today to explore the evolving role of analytic appliances, and to investigate how these platforms may help your business to handle the challenges of big data.
Posted: 10 Mar 2015 | Published: 10 Mar 2015

SAP

The demands of big data velocity: Put analytics to work
sponsored by IBM
WHITE PAPER: This white paper examines several important shifts that have taken place in the world of big data and offers insight into why velocity is now the key differentiator for effective big data technologies. Read on to learn what leading organizations are doing to enable higher-speed big data and what you can do to attain similar benefits.
Posted: 09 Feb 2015 | Published: 09 Feb 2015

IBM

An Introduction to Amazon Redshift
sponsored by Global Knowledge
WHITE PAPER: In this article, explore what Amazon Redshift is as well as what it is not. Find out how it compares with the costs, performance, support for third-party virtualization tools, scale and reliability. Also, examine a comparison of Amazon Redshift versus other solutions.
Posted: 28 Jan 2015 | Published: 31 Dec 2014

Global Knowledge

New Options, Issues for Data Warehouses Classroom
sponsored by SearchDataManagement
VIRTUAL ENVIRONMENT: The enterprise data warehouse isn't dead, but it's no longer the be-all and end-all for storing BI and analytics data. This virtual classroom will bring IT and business professionals up to date on new issues to take into account in designing and managing EDWs.
Posted: 12 Dec 2014 | Premiered: 11 Dec 2014

SearchDataManagement

IBM vs. SAP vs. the rest: Find out what IT pros think
sponsored by IT Central Station
ESSENTIAL GUIDE: With the number of enterprise level data warehouse appliances available today, how can you be sure that your next purchase will be the right one for your organization's needs? In IT Central Station's premium guide, you'll discover what real IT professionals think about the market's top solutions based on their experiences.
Posted: 08 Dec 2014 | Published: 08 Dec 2014


ESG: Serving up big data and analytics with System x M5 servers
sponsored by Lenovo
WHITE PAPER: Download and read this analyst paper to learn how the new System x M5 servers, efficiently powered by the latest Intel® Xeon® processors, provides businesses with a powerful yet affordable cloud infrastructure to meet today's demands and tomorrow's growth.
Posted: 09 Oct 2014 | Published: 01 Sep 2014

Lenovo

Big Data, Big Mess: Sound Cyber Risk Intelligence through “Complete Context”
sponsored by SurfWatch Labs
WHITE PAPER: The key to using big data for better security is to combine it with human expertise, and this white paper tells you how to do that.
Posted: 07 Oct 2014 | Published: 07 Oct 2014

SurfWatch Labs

How Hadoop and Cloud come together to deliver bigger value to customers
sponsored by Rackspace
VIDEO: View this brief video to see a highlight from Strata Conference / Hadoop World 2013, as Michael Steinhart chats with Rackspace Product Marketing Manager Sean Anderson about Hadoop, cloud computing, and how the two come together for companies that want to undertake a "proof of value" project.
Posted: 06 Oct 2014 | Premiered: 06 Oct 2014

Rackspace

Video: Sean Anderson at Strata Conference
sponsored by Rackspace
VIDEO: View the following video interview to hear how Rackspace Hosting is taking feedback from a multitude of Strata Santa Clara convention goers to improve the way they deliver big data technologies.
Posted: 06 Oct 2014 | Premiered: 06 Oct 2014

Rackspace

Making Sense of NoSQL and Big Data Amidst High Expectations
sponsored by Rackspace
WHITE PAPER: Learn more about the truth behind the NoSQL and Big Data Hype. Read on to learn how these systems could help your business.
Posted: 06 Oct 2014 | Published: 06 Oct 2014

Rackspace

A Non-Geek’s Big Data Playbook: Hadoop and the Enterprise Data Warehouse
sponsored by SAS
WHITE PAPER: The following white paper bridges the gap between the big data specialist and the business professional that is trying to understand big data—specifically in the form of Hadoop. Gain access to 6 best practice "plays" that will help up your game with big data and more.
Posted: 11 Sep 2014 | Published: 11 Sep 2014

SAS

Simple is Still Better – Embrace Speed & Simplicity for a Competitive Edge
sponsored by IBM
WHITE PAPER: Learn how the next generation of data warehouses can help you manage large and varied data sets.
Posted: 02 Sep 2014 | Published: 31 May 2014

IBM

Enterprise Hadoop: Ready for Prime Time?
sponsored by SearchBusinessAnalytics
EBOOK: SearchBusinessAnalytics Benchmark Reports examine customer perceptions and adoption rates of technologies in established segments of the business intelligence (BI) market. Each Benchmark Report focuses on a specific area and surveys senior BI and IT professionals to understand the current market state for that segment of the BI market.
Posted: 19 Aug 2014 | Published: 19 Aug 2014

SearchBusinessAnalytics

Think "Data First" to Drive Business Value
sponsored by Informatica
EBOOK: Find out what you need to know about today's enterprise data architecture.
Posted: 18 Aug 2014 | Published: 31 Jul 2014

Informatica

Cognos: BI: IBM Cognos Data Manager - Data integration for the last mile to BI
sponsored by IBM
WHITE PAPER: This white paper explores the major challenges associated with integrating data and the key processes and factors associated with developing a conformed, dimensional data warehouse solution.
Posted: 26 Feb 2015 | Published: 26 Feb 2015

IBM

Data Warehouses Still Relevant After All These Years
sponsored by SearchDataManagement
EBOOK: Hadoop and NoSQL databases have bumped data warehouse systems out of the IT spotlight. But data warehouses are still central to BI and analytics architectures -- and still evolving.
Posted: 10 Dec 2014 | Published: 10 Dec 2014

SearchDataManagement

TechTarget Solution Spotlight: Big Data Challenges & Pitfalls
sponsored by IBM
EGUIDE: Access this expert e-guide to get real-world strategies and advice on how best to manage your big data warehousing and processing, and common pitfalls to avoid.
Posted: 05 Dec 2014 | Published: 05 Dec 2014

IBM

The Challenges Behind Data Integration in a Big Data World
sponsored by Scribe Software Corporation
EGUIDE: This expert e-guide reveals the increased complexity behind big data projects, and how new approaches to data integration and governance are required. Additionally, learn why centralizing data integration may not be the best answer to tackling organizations' ever-increasing amounts of distributed data.
Posted: 09 Oct 2014 | Published: 09 Oct 2014

Scribe Software Corporation

HTML5 Rewrites the Rule on Web Development
sponsored by SearchDataManagement
EBOOK: With HTML5, developers have at their hands the tools to revolutionize Web and mobile app development.
Posted: 04 Sep 2014 | Published: 04 Sep 2014

SearchDataManagement

Business Information ANZ September 2014
sponsored by SearchDataManagement
EZINE: The cover story in this ezine describes the journey taken by mobile company Skinny to make better use of information about customer habits.
Posted: 02 Sep 2014 | Published: 02 Sep 2014

SearchDataManagement

Business Information Asean September 2014
sponsored by SearchDataManagement
EZINE: This issue tells the story of a the National Library Board (NLB) Singapore journey harnessing big data technologies to improve customer experiences and business efficiency.
Posted: 02 Sep 2014 | Published: 02 Sep 2014

SearchDataManagement

The Next Wave of Data Management : Is Big Data The New Normal?
sponsored by Talend
WHITE PAPER: The following white paper reviews the business drivers that are impacting the new wave of data management, highlights the new tools companies have for consideration in their next generation data architecture, and finally outlines a total data management blueprint for consideration in your big data strategy.
Posted: 28 Jul 2014 | Published: 28 Jul 2014

Talend
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DATA WAREHOUSES DEFINITION (continued): … A data warehouse is a central repository for all or significant parts of the data that an enterprise's various business systems collect. The term was coined by W. H. Inmon. IBM sometimes uses the term "information warehouse." Typically, a data warehouse is housed on an enterprise mainframe server. Data from various online transaction processing (OLTP) applications and other sources is selectively extracted and organized on the data warehouse database for use by analytical applications and user queries. Data warehousing emphasizes the capture of data from diverse sources for useful analysis and access, but does not generally start from the point-of-view of the end user or knowledge worker who may need access to specialized, sometimes local databases. The latter idea is known as the data mart.Applications of data warehouses include data mining, Web Mining, and decision support systems (DSS).

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