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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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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

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

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


TechTarget Solution Spotlight: Big Data Challenges & Pitfalls
sponsored by IBM
EGUIDE: This expert e-guide examines key big data challenges and offers real-world strategies and advice for dealing with big data. Additionally, learn about typical pitfalls you may encounter during the data warehousing process.
Posted: 05 Dec 2014 | Published: 05 Dec 2014

IBM

The Simple Data Strategy that Helped LinkedIn Boost Business- Services Revenue by 85%
sponsored by Tableau Software
CASE STUDY: If you're in the world of business—which you are, then you've heard of LinkedIn and you know how pervasive its reach is within the market. But they weren't always such a powerhouse. Check out the following case study to learn about the simple data strategy that allowed LinkedIn to boost business services revenue by 85%.
Posted: 02 Dec 2014 | Published: 02 Dec 2014

Tableau Software

Oracle vs IBM - Who do you choose for data warehousing?
sponsored by IBM
WEBCAST: View this informative webcast to hear from Philip Howard, Research Director with Bloor Research, as he reveals research results about the similarities and differences between IBM Smart Analytics Systems and Oracle Exadata X2-2 to help you decide which would be best for you data warehousing needs.
Posted: 02 Dec 2014 | Premiered: Mar 31, 2011

IBM

Gabriel Consulting: Linux is the System of Choice
sponsored by IBM
WHITE PAPER: Check out the following report to take a detailed look at the world of big data and enterprise analytics including topics such as: the differences between analytics usage models, useful definitions, and technology recommendations to consider for your own big data and analytics projects.
Posted: 02 Dec 2014 | Published: 02 Dec 2014

IBM

Gartner recognizes Cloudera in: Critical Capabilities for Data Warehouse Database Management Systems reports
sponsored by Cloudera
RESOURCE: This Critical Capabilities research focuses primarily on existing customer implementations and their experiences with data warehouse DBMS products.
Posted: 25 Nov 2014 | Published: 18 Aug 2014

Cloudera

2014 Gartner Magic Quadrant for Data Warehouse Database Management Systems
sponsored by Cloudera
RESOURCE: Find out about the hype surrounding the idea of replacing the data warehouse.
Posted: 25 Nov 2014 | Published: 07 Mar 2014

Cloudera

Critical Capabilities for Data Warehouse Database Management Systems
sponsored by Cloudera
RESOURCE: Uncover a complete list of findings from a report that focuses on customer's experiences with data warehouse DBMA products, as well as the important information you need to select the appropriate technology for your business needs.
Posted: 14 Nov 2014 | Published: 18 Aug 2014

Cloudera

Cloudera in the Public Cloud - Deployment Options for the Enterprise Data Hub
sponsored by Cloudera
WHITE PAPER: Find out how an enterprise data hub built with Apache Hadoop can give you access to a flexible, scalable, and economical data management platform.
Posted: 12 Nov 2014 | Published: 12 Nov 2014

Cloudera

Big Data Analytics in Action
sponsored by Dell Software
WHITE PAPER: Find out how to evaluate new technologies that analyze big data, and discover which features are most useful. Plus, learn how to incorporate big data analytics to drive more effective strategies and decision-making. Read this white paper today.
Posted: 11 Nov 2014 | Published: 11 Nov 2014

Dell Software

Video: Tata Consultancy Services speeds operations analysis capabilities while reducing data warehousing costs.
sponsored by IBM
VIDEO: Tune into the following video case study to learn how Tata Consultancy Services sped up their operations analysis capabilities and reduced data warehousing costs by adopting SmartCloud analytics solutions. Watch now to get a firsthand look at how this technology can benefit you as well.
Posted: 10 Nov 2014 | Premiered: 10 Nov 2014

IBM

Evolving Data Warehouse Architectures In the Age of Big Data
sponsored by Cloudera
RESEARCH CONTENT: Learn about the latest trends in data warehouse architectures, and find out how businesses are evolving their architectures to leverage new business opportunities for big data.
Posted: 07 Nov 2014 | Published: 07 Nov 2014

Cloudera

How Big Data Analytics Complement Your Existing Data Warehouse
sponsored by Cloudera
WEBCAST: Find out how you can extend the life of your existing data warehouse with Hadoop and big data analytics.
Posted: 30 Oct 2014 | Premiered: Oct 30, 2014

Cloudera

Data Warehouse Optimization with Hadoop
sponsored by Cloudera
WHITE PAPER: Uncover the details of a new reference architecture for utilizing Hadoop in your existing data warehouse, so you can speed time to value, maximize productivity, lower costs and minimize risk.
Posted: 30 Oct 2014 | Published: 31 Jan 2014

Cloudera

IBM Big Data Solutions: Enables NCSU help businesses unlock value from Big Data
sponsored by IBM
VIDEO: Tune into the following video to hear from Dr. Michael Kowolenko, Principal Research Scholar, as he shares how North Carolina State University is helping businesses make better decisions and gain deeper insight into big data using IBM InfoSphere.
Posted: 29 Oct 2014 | Premiered: 29 Oct 2014

IBM

Industrial Analytics Powered by the Internet of Things
sponsored by Datawatch Corporation
WHITE PAPER: The following white paper based on research from Gartner, examines how industrial analytics is revolutionizing Big Data in the digital business and provides insight into the technology that can help make your future initiatives successful.
Posted: 16 Oct 2014 | Published: 16 Oct 2014

Datawatch Corporation

Optimizing Customer Service with Next Generation Analytics
sponsored by IBM.
WEBCAST: Join IBM in the following webcast for a look at a new generation of solutions that can apply Analytics to mine vast stores of customer data and extract a complete picture of the customer and behavior to provide contact centers and customer experience executives with the information they need to create lasting customer engagement.
Posted: 10 Oct 2014 | Premiered: Oct 10, 2014

IBM.

Enabling the Internet of Things For Smarter Environments
sponsored by IBM
WHITE PAPER: Driven by the ongoing rapid growth in low-cost, web-enabled smart sensors and mobile broadband communications, the emerging Internet of Things promises to transform our personal and working lives. But what does it take to truly tap into the potential of the data surrounding the IoT? Read the following white paper to find out more.
Posted: 09 Oct 2014 | Published: 09 Oct 2014

IBM

How Little Data Will Empower Big Data in the Internet of Things
sponsored by IBM
WHITE PAPER: The following report examines the potential that the Internet of Things offers in enabling organizations to develop deeper, more fine-grained, and timely insight from the massive volume of data that it will generate and the steps that organizations need to take in order to drive new insight from big data.
Posted: 09 Oct 2014 | Published: 09 Oct 2014

IBM

ESG: Serving up big data and analytics with System x M5 servers
sponsored by Lenovo and Intel
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 and Intel

Big Data, Big Mess: Sound Cyber Risk Intelligence through “Complete Context”
sponsored by SurfWatch Labs
WHITE PAPER: The following white paper examines the common problem that faces many businesses when it comes to gleaning value from big data and offers insight into how to attain the "complete context" from you big data and how to leverage it for superior business value and benefits.
Posted: 07 Oct 2014 | Published: 07 Oct 2014

SurfWatch Labs

The Next Era Of Data Architecture Developing A Smart Data Management Strategy
sponsored by SAP America, Inc.
WHITE PAPER: According to Forrester, without collapsing and consolidating the expanding IT landscape of technology stacks, your business can easily end up fractured and broken across your technology silos. Look at the finding to find ways to simplify your IT landscape and free your data from infrastructure silos.
Posted: 18 Sep 2014 | Published: 18 Sep 2014

SAP America, Inc.

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
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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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