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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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Data Warehousing and Analytics on the Cloud
sponsored by IBM
PODCAST: Learn how, with the proper technologies in place, you can access data warehousing and analytics through the cloud.
Posted: 26 Nov 2014 | Premiered: Nov 10, 2014

IBM

Critical Capabilities for Data Warehouse Database Management Systems Report
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

Find Out What's New in 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

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.

The Nature of Analytics: I cod help falling in love with IBM
sponsored by IBM
WEBCAST: There are a lot of data points out there all ripe for the picking. But to get the most out of data—even data that seems completely unrelated and irrelevant to operations, few technologies can help as much as IBM InfoSphere. Watch this brief video to see what this big data technology can do for your organization.
Posted: 09 Oct 2014 | Premiered: Oct 9, 2014

IBM

Of Streams and Storms - A Direct Comparison of IBM InfoSphere Streams and Apache Storm in a Real World Use Case - Email Processing
sponsored by IBM
WHITE PAPER: The following white paper compares the performance of IBM InfoSphere Streams against Apache Storm. Read on to gain an extensive rundown of each platform's structure, implementation requirements, benchmarks, and more.
Posted: 09 Oct 2014 | Published: 09 Oct 2014

IBM

The Data Lake Fallacy: All Water and Little Substance
sponsored by IBM
ANALYST REPORT: Those in the information management and big data world are abuzz about the concept of "data lakes." With a promise of a centralized pool of disparate data sources in one location, the data lake seems like it may be the answer to big data issues. However, does the data lake concept actually hold water?
Posted: 09 Oct 2014 | Published: 23 Jul 2014

IBM

Creating Confidence in Big Data Analytics
sponsored by IBM
WHITE PAPER: The following white paper discusses the current state of big data and the problems with gleaning accurate insights. Learn about the different parts needed to make your big data project run smoothly and what you need to do to ensure success in future initiatives.
Posted: 07 Oct 2014 | Published: 07 Oct 2014

IBM

The next revolution in decision management: Capturing big data
sponsored by IBM
WHITE PAPER: The following white paper addresses the performance issue of conventional complex event processing solutions in the midst of big data and offers insight into how the CEP must change to address the growing need for insights.
Posted: 07 Oct 2014 | Published: 07 Oct 2014

IBM

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

All Analytics Interviews Sean Anderson
sponsored by Rackspace
VIDEO: View this brief video to see a highlight from Strata Conference / Hadoop World 2013, as Michael Steinhart chats with Rackspace Product Marketing Manager Sean Anderson about Hadoop, cloud computing, and how the two come together for companies that want to undertake a "proof of value" project.
Posted: 06 Oct 2014 | Premiered: 06 Oct 2014

Rackspace

Video: Sean Anderson at Strata Conference
sponsored by Rackspace
VIDEO: View the following video interview to hear how Rackspace Hosting is taking feedback from a multitude of Strata Santa Clara convention goers to improve the way they deliver big data technologies.
Posted: 06 Oct 2014 | Premiered: 06 Oct 2014

Rackspace

Making Sense of NoSQL and Big Data Amidst High Expectations
sponsored by Rackspace
WHITE PAPER: Unfortunately, there's a lot of hype surrounding NoSQL and Big Data and the information that's floating around in the market could be a little caustic if the wrong information is absorbed. So what's fact and what's fiction? Read the following article to find out what you need to know to make sense of these two technologies.
Posted: 06 Oct 2014 | Published: 06 Oct 2014

Rackspace

Big Data Exploration: Discover What's Relevant to Your Business and Make Better Decisions
sponsored by IBM
WHITE PAPER: Uncover the ins-and-outs of 5 high-value use cases which enable companies to gain new value from big data.
Posted: 02 Oct 2014 | Published: 31 Mar 2014

IBM

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.

Reinsurance Group Optimizes Performance and Scalability for SAP HANA
sponsored by Hitachi Data Systems
WHITE PAPER: View this whitepaper now to see what solution ACR put into place to take advantage of this new integrated analytics environmnet, and the challenges the company overcame in regards to exponential data growth.
Posted: 18 Sep 2014 | Published: 31 Dec 2013

Hitachi Data Systems

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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