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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 WarehousesReports
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Smarter communications through analytics
sponsored by IBM
WHITE PAPER: As research suggests, investments in data integration and analytics that maximize the value of each customer are worthwhile and create potential for financial gain. To quantify the value of those investments, an illustrative $8 billion communications provider was modeled. Results from this effort are presented throughout this paper.
Posted: 18 Nov 2011 | Published: 18 Nov 2011

IBM

Tip Guide: Enterprise Information Management Expert Tips
sponsored by IBM
EGUIDE: Enterprise information management (EIM) is not that different from other data management initiatives. In this series of expert tips, you will learn how to fully realize the benefits of an EIM initiative, key factors to consider when planning for an effective EIM initiative, key components of enterprise information management programs and more.
Posted: 16 Nov 2011 | Published: 16 Nov 2011

IBM

IBM InfoSphere MDM Solutions for Telecommunications
sponsored by IBM
VIDEO: This video depicts vital capabilities that master data management (MDM) can enable, enhance or simplify, such as: Improving up-sell and cross-sell opportunities including targeted bundles, compiling past product histories, generating household views and assessing lifetime customer value.
Posted: 15 Nov 2011 | Premiered: 15 Nov 2011

IBM

E-Book: Big-Data Analytics Explained: Current Trends, Technologies, and Issues
sponsored by Hewlett-Packard Company
EBOOK: This e-book, designed for IT, BI and analytics professionals as well as business executives, provides readers with a comprehensive understanding of big-data analytics trends, technologies and challenges. Receive real-world insight and advice on developing, implementing and managing a big-data analytics program for your organization.
Posted: 15 Nov 2011 | Published: 15 Nov 2011

Hewlett-Packard Company

IBM Smart Analytics Systems 5600 and 7700 Virtual Tour/Demo
sponsored by IBM
PRODUCT DEMO: This interactive tour allows users to explore the IBM Smart Analytics Systems 5600 and 7700 by scrolling over the systems and clicking on areas of interest to get details, see screenshots, and launch videos.
Posted: 11 Nov 2011 | Premiered: 17 Mar 2011

IBM

E-Guide: Real-world Big Data strategies for analytics
sponsored by ParAccel
EGUIDE: When dealing with large-scale data how you do know what data is worth analyzing? Read this E-Guide to find out how other companies are sifting through their data to get huge business benefits.
Posted: 10 Nov 2011 | Published: 10 Nov 2011

ParAccel

Tip Guide: The Good Data Mart
sponsored by SAP America, Inc.
EGUIDE: In this Tip Guide, readers will learn compelling reasons why organizations choose to build and support multiple dependent data marts.
Posted: 04 Nov 2011 | Published: 04 Nov 2011

SAP America, Inc.

Tip Guide: Big Data: Giant Wave or Huge Precipice?
sponsored by SAP America, Inc.
EGUIDE: In this tip guide, industry expert Barry Devlin will explore what exactly big data is and where it comes from.
Posted: 04 Nov 2011 | Published: 04 Nov 2011

SAP America, Inc.

Presentation Transcript: Big Data and Data Warehousing
sponsored by SAP America, Inc.
PRESENTATION TRANSCRIPT: Wayne Eckerson introduces big data and the issues involved in warehousing it as well as an overview of data warehouse architectures for storing big data.
Posted: 02 Nov 2011 | Published: 02 Nov 2011

SAP America, Inc.

Tip Guide: SAP: Upcoming service pack to let BW run on HANA as data layer
sponsored by SAP America, Inc.
EGUIDE: In this tip guide, you'll learn how HANA affects SAP landscapes and what you should be doing about it.
Posted: 24 Oct 2011 | Published: 24 Oct 2011

SAP America, Inc.

Tip Guide: SAP in-memory applications
sponsored by SAP America, Inc.
EGUIDE: In this tip guide, gain insight into SAP's application launch plans for the year, including new application capabilities and industry focused application plans for SAP.
Posted: 24 Oct 2011 | Published: 24 Oct 2011

SAP America, Inc.

E-Guide: Dealing with ‘big data’ challenges: real-world strategies and advice
sponsored by SAP America, Inc.
EGUIDE: In this e-guide, uncover common challenges of managing large volumes of data and offer advice on how to copy with the 'big data' explosion as part of data warehousing strategies.
Posted: 24 Oct 2011 | Published: 24 Oct 2011

SAP America, Inc.

Increase ROI with better enterprise data warehouse performance
sponsored by Vertica Systems
WHITE PAPER: Today, Enterprise Data Warehouses (EDW) are treasure troves of information and critical for business operations. Access this resource to discover how offloading certain analytics workloads to a third-party platform can increase the performance and longevity of your EDW.
Posted: 21 Oct 2011 | Published: 21 Oct 2011

Vertica Systems

Tip Guide: Creating flexible and agile analytical environments with SAP HANA
sponsored by SAP America, Inc.
EGUIDE: Learn how the launch of SAP HANA has allowed for a much more flexible and agile analytical environment.
Posted: 21 Oct 2011 | Published: 21 Oct 2011

SAP America, Inc.

Tip Guide: Expert Predictions for in-memory analytics strategy
sponsored by SAP America, Inc.
EGUIDE: Gain insight and predictions for analytics appliances for the upcoming year.
Posted: 21 Oct 2011 | Published: 21 Oct 2011

SAP America, Inc.

Tip Guide: Retail best practices for in-memory analytics in SAP environments
sponsored by SAP America, Inc.
EGUIDE: Learn how to successfully manage new challenges in the retail industry.
Posted: 21 Oct 2011 | Published: 21 Oct 2011

SAP America, Inc.

Tip Guide: SAP: In-memory now ‘a reality’
sponsored by SAP America, Inc.
EGUIDE: This tip guide explores how HANA affects SAP landscapes.
Posted: 18 Oct 2011 | Published: 18 Oct 2011

SAP America, Inc.

Tip Guide: Tips for in-memory analytics with SAP HANA
sponsored by SAP America, Inc.
EGUIDE: In this e-guide, learn how SAP HANA is affecting SAP landscapes.
Posted: 18 Oct 2011 | Published: 18 Oct 2011

SAP America, Inc.

Lower your IT Costs with Oracle Database 11g Release 2
sponsored by Oracle Corporation
WHITE PAPER: This white paper contains a sampling of real business results that organizations around the world, in a variety of industries, have achieved by upgrading and standardizing on Oracle Database 11g.
Posted: 14 Oct 2011 | Published: 12 Oct 2011

Oracle Corporation

E-Guide: In-memory analytics: SAP HANA insights and analyst predictions
sponsored by SAP America, Inc.
EGUIDE: This e-guide uncovers how the launch of SAP HANA has allowed for a more flexible and agile analytical environment. Gain insight into SAP predictions for the upcoming year.
Posted: 13 Oct 2011 | Published: 13 Oct 2011

SAP America, Inc.

E-Guide: Best practices for SAP in-memory analytics applications
sponsored by SAP America, Inc.
EGUIDE: This e-guide gives insight to SAP's application launch plans for the year.
Posted: 13 Oct 2011 | Published: 13 Oct 2011

SAP America, Inc.

E-Guide: Big Data BI and analytics: Tips and best practices for managing big-data
sponsored by SAP America, Inc.
EGUIDE: In this e-guide you'll discover the emerging BI and analytics best practices for big data environments.
Posted: 13 Oct 2011 | Published: 13 Oct 2011

SAP America, Inc.

Best Practices in the Use of Columnar Databases
sponsored by Calpont
WHITE PAPER: Learn the fundamentals and best practices of columnar database and then see a real example of columnar database use.
Posted: 13 Oct 2011 | Published: 13 Oct 2011

Calpont

E-Guide: Strategies for managing large data volumes with Big Data BI and analytics
sponsored by SAP America, Inc.
EGUIDE: In this e-guide, uncover the emerging BI and analytics best practices for big data environments.
Posted: 12 Oct 2011 | Published: 12 Oct 2011

SAP America, Inc.

Transactional Data: Driving Real-Time Business
sponsored by SAP America, Inc.
WHITE PAPER: In this white paper, learn key strategies to drive real-time business.
Posted: 12 Oct 2011 | Published: 12 Oct 2011

SAP America, Inc.
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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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