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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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The fast lane to insight: Accelerating analytics from the department to the enterprise
sponsored by IBM
WHITE PAPER: This resource explores the limitations and challenges of existing data warehousing tools, and introduces a data warehouse strategy that can help you accelerate analytics and drive business success.
Posted: 28 Oct 2013 | Published: 30 Apr 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

The top five ways to get started with big data
sponsored by IBM
WHITE PAPER: Learn the 5 big data use cases that provide high-value starting points for your big data projects. Which technologies are designed to address these areas and how to reduce the time and cost of your projects and achieve ROI? Find out inside.
Posted: 09 Sep 2013 | Published: 30 Jun 2013

IBM

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

Case Study: Hy-Vee Boosts Performance, Speeds Data Delivery, and Increases Competitiveness
sponsored by HP
CASE STUDY: In this case study, discover how Hy-Vee, a growing grocery store chain, implemented a new data warehouse in order to give their employees faster access to customer purchasing data, and learn the benefits they currently experience from this technology.
Posted: 29 Oct 2013 | Published: 31 May 2013

HP

Maintaining Optimal Data Warehouse Performance
sponsored by HP
WHITE PAPER: This brief resource offers insight into the HP AppSystem for Microsoft SQL Server 2012 Parallel Data Warehouse. Inside, learn how this tool, jointly engineered with Microsoft for data warehouse and business intelligence (BI) requirements will help you make key business decisions more quickly.
Posted: 29 Oct 2013 | Published: 31 May 2013

HP

SQL Server 2012 PolyBase for Parallel Data Warehouse
sponsored by HP
VIDEO: This brief video introduces SQL Server 2012 PolyBase for parallel data warehouse, which combines the relational database world with the world of unstructured data and Hadoop – allowing you to improve data-fueled decision-making.
Posted: 28 Oct 2013 | Premiered: 26 Feb 2013

HP

Deliver Better Results Across the Data Management Lifecycle: HP AppSystem for Microsoft SQL Server 2012 Parallel Data Warehouse
sponsored by HP
WHITE PAPER: The following whitepaper outlines the important steps to consider when implementing a diversified data management strategy.
Posted: 18 Oct 2013 | Published: 18 Oct 2013

HP

Are Big Files Big Problems?
sponsored by OpenText
WHITE PAPER: This paper discusses the challenges associated with file transfer solutions and how managed file transfer solutions solve these problems.
Posted: 17 Oct 2013 | Published: 17 Oct 2013

OpenText

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.

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

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
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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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