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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 WarehousesReports
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Carlisle Case Study: A BW Upgrade and SAP HANA
sponsored by Symmetry Corporation
CASE STUDY: Carlisle Construction Materials witnessed the effects of rapid growth and quickly realized their current business warehouse (BW) wasn't cutting it. In this brief case study, discover how Carlisle partnered with a managed services provider to upgrade their BW and test drive their system within an SAP HANA environment.
Posted: 21 May 2014 | Published: 31 Jan 2014

Symmetry Corporation

Shifting Sails in Oracle Big Data Management
sponsored by SearchOracle
EBOOK: Oracle's one size-fits-all data management strategy doesn't fit the -- varied and ever-evolving -- big data needs of organizations today.
Posted: 19 May 2014 | Published: 19 May 2014

SearchOracle

Computer Weekly – 13 May 2014: Retail's data challenge
sponsored by ComputerWeekly.com
EZINE: In this week's Computer Weekly, we look at how data analytics is driving a new approach to customer relationship management within the retail sector. Customer who shops in multiple channels offer greater value to retailers. We find out how auction site eBay has developed a bespoke data analytics architecture to track every customer interaction.
Posted: 12 May 2014 | Published: 12 May 2014

ComputerWeekly.com

Data warehouse augmentation: the queryable data store
sponsored by IBM
WHITE PAPER: This white paper highlights how organizations can leverage big data to solve business challenges. It focusses on queryable data stores as a way to reduce costs and gain business insights.
Posted: 06 May 2014 | Published: 31 Dec 2013

IBM

Slicing the Big Data Analytics Stack
sponsored by SAS
WHITE PAPER: The following informative white paper explores the current state of big data and what pioneering companies are doing to leverage big data analytics. Learn about what a successful infrastructure needs to include, the effect of in-memory, and much more.
Posted: 05 May 2014 | Published: 05 May 2014

SAS

Maximize Performance & Management in your Virtual Environments
sponsored by NEC Corporation of America
CASE STUDY: Access this exclusive case study to find out how one logistics supplier organization maximized performance and management of the network in their virtual environment.
Posted: 02 May 2014 | Published: 31 Dec 2012

NEC Corporation of America

Game Changing Performance with SAP In-Memory
sponsored by Cisco and SAP
EGUIDE: SAP HANA promises to be a game changer in the business intelligence (BI) and analytics space. However, some organizations remain skeptical of the benefits of investing in yet another technology to accelerate analytics. This e-guide puts those doubts to rest with an in-depth look at how to build a business case for in-memory computing and SAP HANA.
Posted: 30 Apr 2014 | Published: 30 Apr 2014

Cisco and SAP

The Human Side of Big Data and High-Performance Analytics
sponsored by SAS
WHITE PAPER: The following white paper explores the through the eyes of pioneering analyst, Tom Davenport, on the importance of the data scientist when it comes to success with big data and advanced analytics. Learn how they how they help, how to onboard or create them, and much more.
Posted: 29 Apr 2014 | Published: 29 Apr 2014

SAS

Vblock Specialized System for High Performance Databases
sponsored by VCE
PRODUCT LITERATURE: In this resource, discover a converged infrastructure specifically designed for demanding, high-performance databases that provides millisecond response times, continuous availability, and high flexibility.
Posted: 25 Apr 2014 | Published: 31 Dec 2013

VCE

The Path to Payoff on Big Data Analytics
sponsored by SearchBusinessAnalytics
EBOOK: Before you can hope to reap the benefits of big data initiatives, it's important to strategize and plan -- the earlier, the better.
Posted: 25 Apr 2014 | Published: 25 Apr 2014

SearchBusinessAnalytics

Cruise the Self-Service BI Highway
sponsored by SearchSQLServer.com
EBOOK: New developments indicate Microsoft SQL Server BI trending toward a focus on self-service software, end user capabilities and better, data-driven decisions.
Posted: 25 Apr 2014 | Published: 25 Apr 2014

SearchSQLServer.com

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: 23 Apr 2014 | Published: 23 Apr 2014

SAS

Building a Trusted SAP HANA Data Center
sponsored by Cisco and SAP
WHITE PAPER: In this comprehensive resource, explore a variety of hardware appliances that are SAP-approved as platforms for HANA. Discover how these appliances from Cisco, EMC, and VCE can benefit your SAP HANA implementation, and evaluate how they stack up against the five essential characteristics of a SAP HANA hardware platform.
Posted: 22 Apr 2014 | Published: 22 Apr 2014

Cisco and SAP

Considering Cisco UCS as a Preferred Platform for SAP HANA
sponsored by Cisco and SAP
WHITE PAPER: In this report from IDC, learn about a unified computing system (UCS) architecture optimized for SAP's in-memory data management and analytics platform -- SAP HANA, enabling more scalable, transparent HANA deployments.
Posted: 22 Apr 2014 | Published: 31 Mar 2014

Cisco and SAP

The CIO's Chance of a Lifetime
sponsored by SAS
WHITE PAPER: The following IDC white paper explores the role that the CIO and IT group play in enabling, supporting, and leading analytics programs and projects within their organizations. Uncover the 4 big myths that can be hurting your analytics effectiveness, how to fix IT and line of business disconnect, and more.
Posted: 22 Apr 2014 | Published: 22 Apr 2014

SAS

Bringing the Power of SAS to Hadoop
sponsored by SAS
WHITE PAPER: Consult the following white paper to explore the current landscape of Hadoop with several considerations as to why you should consider moving towards Hadoop for your big data needs. Learn how various organizations are using Hadoop, technology considerations, and more.
Posted: 21 Apr 2014 | Published: 21 Apr 2014

SAS

Big Data in Big Companies
sponsored by SAS
WHITE PAPER: Explore the following white paper to join analytics pioneer, Tom Davenport, as he reveals the findings of how big data fits into the data and analytics infrastructure of 20 large organizations. Find out how these companies are handling big data, the tools and skill sets used to maximize ROI, and what the future holds with analytics 3.0.
Posted: 21 Apr 2014 | Published: 21 Apr 2014

SAS

Content Analytics: The Key to Customer Service and Sales Success
sponsored by IBM
WHITE PAPER: The following white paper examines how organizations are using content analytics to help improve the management of unstructured data. Learn how when properly implemented, this solution can increase sales effectiveness, customer satisfaction, and more.
Posted: 18 Apr 2014 | Published: 18 Apr 2014

IBM

A Non-Geek's Big Data Playbook
sponsored by SAS
WHITE PAPER: The following white paper intends to bridge 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: 17 Apr 2014 | Published: 17 Apr 2014

SAS

Optimising the data warehouse
sponsored by ComputerWeekly.com
ANALYST REPORT: Analysts Clive Longbottom and Rob Bamforth discuss approaches to optimising datawarhouses for big data.
Posted: 17 Apr 2014 | Published: 17 Apr 2014

ComputerWeekly.com

Accelerating Big Data 2.0 Webinar
sponsored by Actian Corporation
WEBCAST: View the following webcast to uncover what you need to know about big data 2.0. Uncover the 6 building blocks of big data 2.0 that drastically differentiate from big data 1.0. Also gain insights to the ways successful organizations are leveraging new analytics to capitalize on big data 2.0 and much more.
Posted: 07 Apr 2014 | Premiered: Apr 7, 2014

Actian Corporation

Top Reasons to Choose EMC for SAP HANA
sponsored by EMC Corporation
WHITE PAPER: EMC is the leading enterprise storage platform for SAP, making it ideal for your SAP HANA solution. Click here for more reasons why EMC is the natural choice when it comes to your SAP HANA deployment.
Posted: 27 May 2014 | Published: 31 Oct 2013

EMC Corporation

Solution Spotlight: The Future of Data Warehousing Infrastructure and Architectures
sponsored by IBM
EGUIDE: This e-guide examines why the data warehousing appliance business case must trump traditional tools for business to address needs such as costs, flexibility and agility while eliminating key technology silos.
Posted: 22 May 2014 | Published: 22 May 2014

IBM

EMC Isilon for Healthcare
sponsored by Pivotal
WHITE PAPER: This brief resource provides information on a solution that reduces costs and improves operational efficiency by consolidating image data from each department PACS into a single, unified independent storage solution.
Posted: 16 May 2014 | Published: 31 Oct 2012

Pivotal

The Technology of the Business Data Lake
sponsored by Pivotal
WHITE PAPER: This white paper discusses an approach other than enterprise data warehouses (EDWs) to meet organizations reporting and operational needs.
Posted: 05 May 2014 | Published: 31 Dec 2013

Pivotal
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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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