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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 Warehouses Reports
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Make Sense of Big Data
sponsored by IBM
WHITE PAPER: Big data is everywhere, but unfortunately for many, its delivering more of a headache than the much hyped about benefits. So when it comes down to it, what does it really take to make sense of big data and have it deliver on those promises? Access the following white paper to learn how real-time analytics can help.
Posted: 26 Jan 2015 | Published: 26 Jan 2015

IBM

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

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: Access this expert e-guide to get real-world strategies and advice on how best to manage your big data warehousing and processing, and common pitfalls to avoid.
Posted: 05 Dec 2014 | Published: 05 Dec 2014

IBM

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

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

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

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

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

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 key to using big data for better security is to combine it with human expertise, and this white paper tells you how to do that.
Posted: 07 Oct 2014 | Published: 07 Oct 2014

SurfWatch Labs

IBM DB2 BLU Acceleration vs. SAP HANA vs. Oracle Exadata
sponsored by IBM
WHITE PAPER: Consult the following white paper to get a firsthand look at how IBM BD2 BLU Acceleration, SAP HANA, and Oracle Exadata compare when it comes to handling big data. Learn about what they bring to the table and how to ultimately choose the right solution for your business.
Posted: 07 Oct 2014 | Published: 07 Oct 2014

IBM

Big Data's Big Impact on Data Warehousing
sponsored by SearchDataManagement
WHITE PAPER: Access the following expert white paper to hear from Wayne Eckerson as he weighs in on the current state of big data and the respecting technologies that intend to help business leverage value from their big data silos.
Posted: 07 Oct 2014 | Published: 07 Oct 2014

SearchDataManagement

How Hadoop and Cloud come together to deliver bigger value to customers
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: Learn more about the truth behind the NoSQL and Big Data Hype. Read on to learn how these systems could help your business.
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

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

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

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

HTML5 Rewrites the Rule on Web Development
sponsored by SearchDataManagement
EBOOK: With HTML5, developers have at their hands the tools to revolutionize Web and mobile app development.
Posted: 04 Sep 2014 | Published: 04 Sep 2014

SearchDataManagement
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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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