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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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CRM Analytics 101: Harnessing Customer Data for Smarter Business Decisions
sponsored by SearchCRM
EGUIDE: CRM analytics involves drilling into customer data to make smarter business decisions and to offer customers more personalized service. In this expert e-guide, uncover an overview of analytics and what an organization can gain from it, steps for making the business case, the solution landscape, tips for choosing the right platform, and more.
Posted: 17 Sep 2013 | Published: 17 Sep 2013

SearchCRM

Unlocking the value of big data
sponsored by ComputerWeekly.com
ESSENTIAL GUIDE: This independent report provides the first in-depth assessment of the role that data-intensive technology can play in supporting jobs and growth in Ireland over the next five years.
Posted: 04 Sep 2013 | Published: 04 Sep 2013

ComputerWeekly.com

CW buyer's guide: data management
sponsored by ComputerWeekly.com
ESSENTIAL GUIDE: A data management platform is a centralised computing system for collecting, integrating and managing large sets of structured and unstructured data from disparate sources. Effective use of such information management systems will provide access to consistent, accurate and current data.
Posted: 27 Aug 2013 | Published: 27 Aug 2013

ComputerWeekly.com

Privacy and Big Data
sponsored by ComputerWeekly.com
ESSENTIAL GUIDE: This report from ISACA, a non-profit security association, lists 16 key questions companies need to answer when considering the privacy and governance aspects of big data.
Posted: 19 Aug 2013 | Published: 19 Aug 2013

ComputerWeekly.com

Large-scale Analytics with SAP
sponsored by SAP America, Inc.
VIDEO: In this video, find out how you can remove the constraints associated with traditional approaches to analytics and data warehousing -- with a powerful analytics grid that grows to meet your changing business needs. Watch now for an overview of this technology including capabilities, use cases, and benefits.
Posted: 17 Oct 2013 | Premiered: 17 Oct 2013

SAP America, Inc.

SAP Sybase IQ: Bred for Speed, Analysis, and You
sponsored by SAP America, Inc.
WHITE PAPER: Consult this resource to learn more about how SAP provides support for advanced analytics, data warehousing and business intelligence environments.
Posted: 15 Oct 2013 | Published: 15 Oct 2013

SAP America, Inc.

Enterprise Solution Design for SAP HANA
sponsored by HP & Intel®
WHITE PAPER: In this resource, explore the three principles of great enterprise design—stability, scalability, and agility—and learn how to apply them to your SAP landscape with a focus on SAP HANA. Read on for best practices and key design considerations for implementing your SAP HANA enterprise-level solution.
Posted: 25 Sep 2013 | Published: 28 Feb 2013

HP & Intel®

HP Fast Start rapid-deployment solution for SAP HANA
sponsored by HP & Intel®
SERVICE LISTING: Access this resource to learn about a rapid-deployment technology for SAP HANA that allows you to easily incorporate SAP HANA hardware into your local network, upgrade to the latest software, and start experiencing the benefits of real-time data processing sooner than ever.
Posted: 25 Sep 2013 | Published: 30 Apr 2013

HP & Intel®

Podcast: 5 Game Changing Use Cases for Big Data
sponsored by IBM
PODCAST: This exclusive podcast counts down five essential big data use cases that can enable your organization to unlock the insights and value hidden within big data. Listen in to learn more now.
Posted: 12 Sep 2013 | Premiered: Aug 29, 2013

IBM

Big Data Challenges and Pitfalls
sponsored by IBM
EGUIDE: This expert e-guide examines the key challenges and potential pitfalls of big data and offers real-world strategies and advice for achieving big data success.
Posted: 10 Sep 2013 | Published: 10 Sep 2013

IBM

Hadoop Myths Busted
sponsored by Syncsort
EGUIDE: Consult this expert e-guide today to count down 12 common Hadoop myths and misconceptions, and gain the facts you need to drive big data success.
Posted: 10 Sep 2013 | Published: 10 Sep 2013

Syncsort

Webcast: 5 Game Changing Use Cases for Big Data
sponsored by IBM
WEBCAST: This webcast counts down five essential use cases for big data that can help your organization gain a competitive advantage and fuel success. Tune in today to learn more.
Posted: 09 Sep 2013 | Premiered: Aug 23, 2013

IBM

Extreme Warehouse Speed for Fast Business Decisions
sponsored by IBM
WHITE PAPER: This e-book explores how forward-looking organizations like yours are using extremely rapid, highly effective analysis of data to change the way they make decisions – enabling them to predict shifts in business and proactively adjust for better business outcomes.
Posted: 03 Sep 2013 | Published: 31 Dec 2012

IBM

Put your Analytics Applications into Overdrive
sponsored by IBM
WHITE PAPER: With IBM Informix Warehouse and the Intel Xeon processor E7 family, IBM and Intel are partnering to deliver superior performance for in-memory analytics processing – helping you turn massive amounts of data into business opportunities.
Posted: 30 Aug 2013 | Published: 31 Dec 2012

IBM

Best Practices for Decision Support Systems with Microsoft SQL Server 2012 using Dell EqualLogic PS Series Storage Arrays
sponsored by Dell and VMware
WHITE PAPER: This white paper describes sizing and best practices for deploying a data warehouse in order to prevent bottlenecks and deliver a cost-effective solution.
Posted: 29 Aug 2013 | Published: 31 Jul 2013

Dell and VMware

Achieving Timeliness and Relevance for Smarter Retail
sponsored by IBM
EBOOK: This e-book examines how forward-looking retailers meet challenges and how IBM Informix software serves as the right data management framework to help retail organizations make the right offers to the right customers at the right time.
Posted: 29 Aug 2013 | Published: 31 Dec 2012

IBM

IBM Informix Warehouse Accelerator
sponsored by IBM
WHITE PAPER: To improve the performance of data warehouse queries while minimizing manual tuning, DBAs can turn to the IBM Informix Warehouse Accelerator. Access this white paper to learn more about how fast response time generates quick answers, quick insights, and an agile business.
Posted: 29 Aug 2013 | Published: 31 Oct 2011

IBM

Dealing with More and More Data: Challenges for the Utility CIO
sponsored by IBM
WHITE PAPER: This document provides utilities with an understanding of specific challenges faced by CIOs and provides information technology (IT) decision makers with a view to the use of time series databases in getting to scale.
Posted: 29 Aug 2013 | Published: 31 Mar 2012

IBM

Build Smart Metering Solutions with IBM Informix TimeSeries
sponsored by IBM
WHITE PAPER: To realize the full potential of smart meters, utility companies and their partners need a data management solution designed to reduce data load times, decrease storage capacity needs, and improve query performance for time series data.
Posted: 27 Aug 2013 | Published: 31 Dec 2011

IBM

Architecting A Big Data Platform for Analytics
sponsored by IBM
WHITE PAPER: Business is now demanding more analytical power to analyze new sources of structured and multi-structured data. The IBM Big Data Platform rises to the challenge to create this new analytical environment, making IBM a serious contender to support end-to-end analytical workloads.
Posted: 14 Aug 2013 | Published: 31 Oct 2012

IBM

Enterprise search: Getting a handle on big data sprawl
sponsored by VirtualWorks Group
EGUIDE: Though big data sprawl can be overwhelming, the modern business must think about data warehouse strategies in new ways. Experts discuss data warehouse strategies in this e-guide.
Posted: 07 Aug 2013 | Published: 07 Aug 2013

VirtualWorks Group

The Evolution of Integration
sponsored by Talend
WHITE PAPER: Over the recent years, data integration has been growing from simple data movement to complex transformation functions, and modern data integration technology now enables organizations to deploy data integration technology.
Posted: 07 Aug 2013 | Published: 01 Jan 2007

Talend

Big Data Integration
sponsored by SearchDataManagement
EGUIDE: An effective data integration strategy is key to harnessing big data. In this e-book chapter, learn about collecting data from monitoring devices and explore the tech options.
Posted: 26 Jul 2013 | Published: 26 Jul 2013

SearchDataManagement

Bringing Hadoop into the Mainstream
sponsored by Kognitio
WHITE PAPER: Read this white paper to discover how an in-memory analytical platform can complement Hadoop, making up for inherent shortfalls from latency and disk access. Receive an introduction to one such solution, designed to tightly integrate with Hadoop and interoperate with all layers of data persistence in an 'Information Anywhere' approach.
Posted: 23 Jul 2013 | Published: 23 Jul 2013

Kognitio

FAQ: Jump-start your big data journey with big data exploration
sponsored by IBM
WHITE PAPER: You know that there's a wealth of information to unlock inside "big data," but where do you start? Big data exploration allows you to navigate all potential data sources to determine how best to proceed. In this Q and A, learn how to plan and execute a big data exploration project, measure the business benefits of such a project, and much more.
Posted: 19 Jul 2013 | Published: 19 Jul 2013

IBM
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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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