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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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Information Governance
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RESEARCH CONTENT: This research from AIIM looks at the risk profile around electronic records, the keep-all versus delete-all options, e-discovery, and the implications of social, mobile and cloud on risk management policies.
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CW500: Back to the Future: Big Data at Channel 4
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PRESENTATION: Bob Harris, Chief Technology Officer of Channel 4 Television, explains the broadcaster's approach to big data in this presentation for Computer Weekly's 500 Club.
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Gartner: Deriving value from Big Data for CRM
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ESSENTIAL GUIDE: Kimberly Collins, research vice-president of Gartner highlights the critical steps organisations should to take to integrate big data into Customer Relationship Management (CRM).
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ComputerWeekly.com

Integrating and Managing SAP HANA
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EGUIDE: Check out this expert e-guide to discover the necessary skills and steps involved in SAP HANA implementation, and get tips from the pros on integrating and managing mixed SAP environments.
Posted: 06 May 2013 | Published: 06 May 2013

VCE

Beyond Big Data – The New Information Economy
sponsored by ComputerWeekly.com
ANALYST REPORT: How information is managed is more important than 'big data', say analysts Clive Longbottom and Rob Bamforth.
Posted: 29 Apr 2013 | Published: 29 Apr 2013

ComputerWeekly.com

Ziff Davis: Maximizing Performance and Minimizing Cost with Interactive Business Intelligence
sponsored by IBM
WHITE PAPER: View this white paper to learn how IT decision makers can drive faster analytics over large data volumes in a data warehouse. It outlines how you can give end users the ability to have a more interactive analysis using online analytical processing (analysis.)
Posted: 10 Apr 2013 | Published: 10 Apr 2013

IBM

FAQ: Hadoop for BI and Analytics
sponsored by SearchBusinessAnalytics
EGUIDE: Because it's a relatively new technology, Hadoop is surrounded by many myths and most IT professionals have little to no experience with the big data platform. This expert E-Guide aims to dispel common Hadoop misconceptions and offers advice for how to utilize it to drive big data analytics success.
Posted: 04 Apr 2013 | Published: 04 Apr 2013

SearchBusinessAnalytics

Storage Efficiency University: Basics of Big Data Environments
sponsored by SearchStorage.com
VIRTUAL ENVIRONMENT: There's a lot to know about big data, but fortunately you've come to the right place. This university classroom examines a variety of big data topics, including its accompanying technologies, associated challenges, and projected impact on storage infrastructures.
Posted: 03 Apr 2013 | Premiered: 03 Apr 2013

SearchStorage.com

Is EMC Greenplum the real Hadoop company?
sponsored by ComputerWeekly.com
ANALYST REPORT: EMC Greenplum launched two new Hadoop-related technologies to support Big Data deployments. Analyst Group, Nucleus Research  assesses their importance.
Posted: 02 Apr 2013 | Published: 02 Apr 2013

ComputerWeekly.com

All Mobile, All the Time: Can Businesses Make the Leap?
sponsored by IBM
EBOOK: Consult this white paper to learn how to manage the increasing array of data sources. Find out how you can ensure that your valuable data is accurate and accessible. Explore the changes the mobile revolution is causing your enterprise and the values you need to establish to have successful BI by reading this resource now.
Posted: 26 Feb 2013 | Published: 26 Feb 2013

IBM

Amazon is the new battleground for analytics and data management
sponsored by ComputerWeekly.com
ANALYST REPORT: Businessses should consider Amazon's Redshift data warehouse as a service platform, says Analyst group, Nucleus Research.
Posted: 21 Feb 2013 | Published: 21 Feb 2013

ComputerWeekly.com

Business Information University Classroom: Meeting the Need for Data Warehousing Speed
sponsored by SearchBusinessAnalytics
VIRTUAL ENVIRONMENT: In this classroom, data warehouse managers and other IT professionals will find advice and insight on how to build high-performance data warehousing systems.
Posted: 14 Feb 2013 | Premiered: 12 Feb 2013

SearchBusinessAnalytics

The Human Face of Big Data: Pulse of the Planet
sponsored by ComputerWeekly.com
BOOK: Big Data is about to radically transform our understanding of the planet, writes entrepreneur and commentator, Esther Dyson.
Posted: 18 Jan 2013 | Published: 18 Jan 2013

ComputerWeekly.com

The road to Hadoop
sponsored by IBM
EGUIDE: This e-guide highlights several popular Apache Hadoop use cases, and explores how organizations can leverage Hadoop to better prepare for long term big data analytics success.
Posted: 18 Dec 2012 | Published: 18 Dec 2012

IBM

Apache Hadoop* Framework Spotlight: Apache Hive* Podcast
sponsored by Intel
PODCAST: In this podcast, learn how Apache Hive is impacting the Hadoop community. Discover Hive's components and capabilities, whether Hive is a viable substitute for the existing warehouse infrastructure, the limitations of this tool, and more.
Posted: 30 May 2013 | Premiered: May 30, 2013

Intel

Apache Hadoop* Framework Spotlight: Apache Hive*
sponsored by Intel
WHITE PAPER: This brief resource examines the true value of Apache Hive, a SQL engine for the Apache Hadoop framework. Inside, learn how Hive's facilities for data and metadata management are impacting the existing warehouse infrastructure and driving business success.
Posted: 29 May 2013 | Published: 31 Mar 2013

Intel

Key Considerations in Evaluating Data Warehouse Appliances
sponsored by Dell Software
WHITE PAPER: Data warehousing can be an expensive, complicated bag of hardware, software and support. However, adopting a data warehouse appliance will benefit your business today and in the future. 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.
Posted: 08 May 2013 | Published: 31 Dec 2012

Dell Software

Universitätsklinikum Erlangen strengthens analytics expertise and focuses on a customised healthcare analytics solution
sponsored by IBM
WHITE PAPER: View this white paper to learn how one company strengthened analytics by developing a focus on customised healthcare. It linked to relevant operational systems, how to optimise information flow and how to support the overall strategic control of the hospital at just the touch of a button.
Posted: 11 Apr 2013 | Published: 11 Apr 2013

IBM

Best Practices for Implementing a High-Performance Data Warehouse
sponsored by SAS
WHITE PAPER: 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.
Posted: 11 Apr 2013 | Published: 31 Dec 2012

SAS

New Data Warehousing Strategies for Big Data
sponsored by HP & Intel®
EGUIDE: High-volume unstructured data has its own set of characteristics that often make it too difficult for traditional standalone and relational databases to process.  As a result, a major shift in big data warehousing is taking place, and this expert e-guide will cover how to be successful in tackling the challenges of new warehousing strategies.
Posted: 12 Mar 2013 | Published: 12 Mar 2013

HP & Intel®

Best practices in Oracle Data Warehousing
sponsored by ParAccel
EGUIDE: With its noninutrusive method, low-impact, real-time data integration software can liberate your systems from data extract processing batch windows for Oracle data warehousing and allow you to extract data at any time, even when users are online. Read this expert e-guide to learn more about real-time data collection for Oracle data warehouses.
Posted: 17 Jan 2013 | Published: 10 Jan 2013

ParAccel

Unifying supplier, customer data for manufacturing
sponsored by Stibo
EGUIDE: Read this e-guide to learn how to fine tune data management systems to collect relevant data, consolidate it, and integrate it for analytics systems.
Posted: 04 Jan 2013 | Published: 04 Jan 2013

Stibo

Presentation Transcript: Offloading Your Oracle Analytics for Improved Performance
sponsored by ParAccel
PRESENTATION TRANSCRIPT: Read this presentation transcript to learn how an analytic offload from the warehouse onto an analytical platform can extend the life of your existing data warehouse by up to two years and result in accelerated analytic performance, improved price performance, reduction in database administration and lower storage requirements.
Posted: 13 Dec 2012 | Published: 13 Dec 2012

ParAccel

A Complete Primer To Mobile BI
sponsored by Oracle Corporation UK Ltd
EBOOK: Business intelligence (BI) is a natural fit for mobile devices. In this eBook, appropriate for business intelligence professionals, get a complete, accessible overview of mobile BI from industry expert Wayne Eckerson.
Posted: 11 Dec 2012 | Published: 12 May 2011

Oracle Corporation UK Ltd

Presentation Transcript: Unraveling the Data Warehouse Performance Traffic Jam
sponsored by Teradata
PRESENTATION TRANSCRIPT: 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.
Posted: 07 Dec 2012 | Published: 07 Dec 2012

Teradata
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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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