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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  … 
Definition continues below.
Data WarehousesWhite Papers (View All Report Types)
1 - 25 of 272 Matches Previous Page  | Next Page
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

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

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

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

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

Enterprise Strategy Group: Dell’s Big Picture for Big Data and Analytics
sponsored by Dell Software
WHITE PAPER: Extract value from your big data and analytics, faster. Read the solution brief from Enterprise Strategy Group and learn how to intelligently stack Dell software, hardware and service offerings to eliminate multi-vendor systems and extract greater value from your investment.
Posted: 12 Sep 2014 | Published: 12 Sep 2014

Dell Software

A Non-Geek’s Big Data Playbook: Hadoop and the Enterprise Data Warehouse
sponsored by SAS
WHITE PAPER: The following white paper bridges the gap between the big data specialist and the business professional that is trying to understand big data—specifically in the form of Hadoop. Gain access to 6 best practice "plays" that will help up your game with big data and more.
Posted: 11 Sep 2014 | Published: 11 Sep 2014

SAS

Data Evolution: Why a Comprehensive Data Management Platform Supersedes the Data Integration Toolbox
sponsored by SAS
WHITE PAPER: Learn about the data integration tools and technologies that are capable of supporting your data warehouse, and, as a result, your high volumes of data.
Posted: 11 Sep 2014 | Published: 11 Sep 2014

SAS

Enterprise Data Management in an ‘In-Memory’ World
sponsored by SAS
WHITE PAPER: The following white paper explores the tactics, best practices, and architecture needed to make sure that your in-memory solution is running as smooth and efficiently as possible.
Posted: 11 Sep 2014 | Published: 11 Sep 2014

SAS

Why customers are migrating from Teradata to IBM PureData System for Analytics
sponsored by IBM
WHITE PAPER: Explore this brief resource that highlights and deciphers both the Teradata and IBM system for data analytics, providing benefits and flaws of each system. Discover how one system consolidates all analytic activity right where the data resides in the appliance, boosting performance.
Posted: 02 Sep 2014 | Published: 31 Mar 2014

IBM

Simple is Still Better – Embrace Speed & Simplicity for a Competitive Edge
sponsored by IBM
WHITE PAPER: Learn how the next generation of data warehouses can help you manage large and varied data sets.
Posted: 02 Sep 2014 | Published: 31 May 2014

IBM

The Next Wave of Data Management : Is Big Data The New Normal?
sponsored by Talend
WHITE PAPER: The following white paper reviews the business drivers that are impacting the new wave of data management, highlights the new tools companies have for consideration in their next generation data architecture, and finally outlines a total data management blueprint for consideration in your big data strategy.
Posted: 28 Jul 2014 | Published: 28 Jul 2014

Talend

Data Integration Checklist
sponsored by Talend
WHITE PAPER: This white paper provides a checklist with key functional requirements for implementing and deploying data integration for an enterprise.
Posted: 17 Jul 2014 | Published: 17 Jul 2014

Talend

Three must-have capabilities for today's data warehouse environment
sponsored by IBM
WHITE PAPER: In this e-book, learn how a new, innovative data warehousing technology delivers on the three essential components of modern warehouse environments: speed, simplicity, and affordability.
Posted: 15 Jul 2014 | Published: 31 May 2013

IBM

Data Warehousing: modern ecosystems designed for big data and analytics
sponsored by IBM
WHITE PAPER: Businesses today need fast access to actionable insights, but rigid data warehouse architectures can prevent you from accessing the data you need quickly and effectively. This white paper describes the essential building blocks of a modern data warehouse that enables you to access information assets faster, regardless of location.
Posted: 15 Jul 2014 | Published: 15 Jul 2014

IBM

Trends in Enterprise Hadoop Deployments
sponsored by Red Hat
WHITE PAPER: The following IDC white paper explores the current state and need of analytics in the marketplace today. Learn how technologies such as Hadoop are facilitating change and how you need to address you infrastructure to enable the new, but necessary way of thinking.
Posted: 15 Jul 2014 | Published: 15 Jul 2014

Red Hat

Discover How Big Data Hadoop Solutions Compare
sponsored by IBM
WHITE PAPER: Find out how 9 different big data Hadoop solutions compare to one another, and learn about the various vendors and differentiated features of each option.
Posted: 03 Jul 2014 | Published: 27 Feb 2014

IBM

Cloud 2.0: Delivering Value to the Enterprise
sponsored by MicroStrategy Incorporated
WHITE PAPER: The following white paper explores the current state of cloud within the business environment with particular attention to cloud 2.0. Learn what's new with cloud 2.0, what factors are driving this shift, and most importantly, uncover which best practices will ensure success in a cloud 2.0 world.
Posted: 17 Jun 2014 | Published: 17 Jun 2014

MicroStrategy Incorporated
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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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