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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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Designing the Modern Data Warehouse Environment
sponsored by IBM
WHITE PAPER: To trust your data, you must be informed about data governance. This white paper provides a stepping stone to ensuring the consistency, cleanliness, correctness, and security of your data. Access now to learn governance best practices.
Posted: 01 Jul 2015 | Published: 31 Dec 2014

IBM

Scale-out Data Lake Solution built on EMC Isilon : Simple, Scalable, Efficient and Secure
sponsored by EMC
WHITE PAPER: The following white paper examines a scale-out data lake system that provides a simple and scalable solution to handle files of all sizes in a single cluster. Access now and learn how this system can help overcome the most common challenges of Big Data and consolidation.
Posted: 23 Jun 2015 | Published: 23 Jun 2015

EMC

Top Reasons to adopt Scale-Out Data Lake Storage based on EMC Isilon for Hadoop Analytics
sponsored by EMC
WHITE PAPER: The following white paper provides readers with the top eight reasons to adopt scale-out data lake storage when it comes to getting the most value from your storage environments. Access now and learn what make data lakes such powerful contenders in high-value storage.
Posted: 11 Jun 2015 | Published: 11 Jun 2015

EMC

Hortonworks and Talend Big Data Sandbox
sponsored by Hortonworks
VIDEO: Access this video to delve into the benefits of Hadoop data management and find out how your organization and transform, cleanse, enrich, and aggregate data instantly to free up valuable compute time for high impact analytics. Plus watch now to learn about the easy-to-use sanbox.
Posted: 11 Jun 2015 | Premiered: 25 Jul 2014

Hortonworks

Scale-Out Data Lake Solution Built on EMC Isilon
sponsored by EMC
WHITE PAPER: The following white paper provides readers with an introduction to the EMC Isilon scale-out data lake as the key enabler to store, manage, and protect unstructured data for traditional and emerging workloads. Access now and learn how business decision makers and architects can leverage this technology to get the most value from their data stores.
Posted: 10 Jun 2015 | Published: 10 Jun 2015

EMC

The Future Of Data Warehousing
sponsored by Snowflake
EGUIDE: This e-guide examines how big data technologies offer new opportunities for businesses to address needs such as costs, flexibility and agility while eliminating key technology silos. Read now to get insight on the future of data warehousing.
Posted: 10 Jun 2015 | Published: 10 Jun 2015


Modern Data Architecture with Apache Hadoop
sponsored by Hortonworks
WHITE PAPER: This paper discusses Hadoop, its capabilities as a data platform and how it supports the new concept of the Hybrid Data Warehouse, in combination with data virtualization, to deliver a single unified and coherent logical view on all enterprise data assets in and outside the data lake, minimizing unneeded data replication.
Posted: 09 Jun 2015 | Published: 09 Jun 2015

Hortonworks

Enterprise Data Lake Platforms: Deep Storage for Big Data and Analytics
sponsored by EMC
WHITE PAPER: Read the following IDC white paper to learn why organizations are turning to data lake platforms to help alleviate the stress on conventional storage environments and ultimately, give way to a better foundation for analytics. Access now to learn more.
Posted: 08 Jun 2015 | Published: 08 Jun 2015

EMC

Requirements for Data Warehousing in the Cloud - What to look for to choose the right solution
sponsored by Snowflake
WEBCAST: Watch this webcast to hear Snowflake's CEO, founders, founder architect, and VP discuss how Snowflake has reinvented the data warehouse.
Posted: 21 May 2015 | Premiered: Oct 20, 2014


Reinventing the Data Warehouse
sponsored by Snowflake
WHITE PAPER: This white paper explains why a cloud infrastructure is the perfect platform for constructing the ideal data warehouse. Read now to find out how the cloud supports virtually any scale of users and workloads without compromising performance or responsiveness.
Posted: 20 May 2015 | Published: 31 Oct 2014


Top Factors to Know About the Cloud
sponsored by Looker
EGUIDE: In this e-guide, Amazon Web Services' general manager of data science, Matt Wood, shares expert insight on cloud pricing, federation, compliance, and data localization. Additionally, explore Amazon Redshift's features and how it's changing the game for data warehousing in the cloud.
Posted: 14 May 2015 | Published: 14 May 2015

Looker

Delivering Data Warehousing as a Cloud Service
sponsored by Snowflake
WHITE PAPER: Access this white paper to learn the benefits of transforming data warehousing into a cloud service. Also, discover the five requirements for delivering data warehousing as a service.
Posted: 13 May 2015 | Published: 31 Oct 2014


Optimizing Redshift for Analytics
sponsored by Looker
RESOURCE: View the following quick resource to uncover the three most important tips to know when setting up your data warehouse on Redshift. Inside, gain insight into the importance of sorting keys, the difference between SSD and HDD clusters, and more.
Posted: 07 May 2015 | Published: 07 May 2015

Looker

Different Doors for Data
sponsored by SearchDataManagement
EZINE: There are multifarious types of database management systems on the market today. To find the right one for them, organizations first need to closely examine their data.
Posted: 06 May 2015 | Published: 06 May 2015

SearchDataManagement

Looker for AWS Redshift: Cloud Based Analytics
sponsored by Looker
WHITE PAPER: Access the following white paper to uncover why agile data warehousing seems to be the best approach when it comes to dealing with the new complexity and size of cloud data in the business.
Posted: 06 May 2015 | Published: 06 May 2015

Looker

TDWI Checklist: 8 key steps for modernizing a data warehouse
sponsored by IBM
WHITE PAPER: Read this report to explore the leading business reasons for modernizing a data warehouse, plus the common technical measures taken today for data warehouse modernization.
Posted: 01 May 2015 | Published: 01 May 2015

IBM

Is the Data Warehouse Dead?
sponsored by IBM
WHITE PAPER: This survey investigates the current state of the data warehouse. Read on to examine its competition: Big Data solutions as an alternative.
Posted: 30 Apr 2015 | Published: 31 Jan 2015

IBM

IBM rings in new year with enterprise version of dashDB data warehouse
sponsored by IBM
WHITE PAPER: Read this 451 research to learn more about the latest enterprise version of dashDB data warehouse, its technology, and its competition.
Posted: 30 Apr 2015 | Published: 14 Jan 2015

IBM

Simply Hired's Analytics Strategy Drives Customer Value and Exponential Growth
sponsored by Looker
WHITE PAPER: View this case study to learn how Simply Hired modernized its data architecture and was able to provide dynamic, personalized data views to a wide range of employees.
Posted: 30 Apr 2015 | Published: 01 Jan 2014

Looker

451 Research: IBM’s enterprise version of dashDB data warehouse
sponsored by IBM
WHITE PAPER: This white paper describes IBM's enterprise version of dashDB data warehouse.
Posted: 06 Apr 2015 | Published: 14 Jan 2015

IBM

DashDB: Keeping Data Warehouse Infastructure Out of Your Way
sponsored by IBM
RESOURCE: Access this resource to uncover a fact sheet that will help your organization build more with no infrastructure investment and rapid cloud provisioning, grow more with in-memory technology without the hassle of data warehousing architecture, and know more with greater efficiency and performance.
Posted: 06 Apr 2015 | Published: 06 Apr 2015

IBM

Learn From History to Make Better Analytics Decisions
sponsored by Hewlett-Packard Limited
VIDEO: View this brief video to understand how analytics uses data to propel good decision making. Learn the difference between simply reporting transaction data, and gaining insights from technologies.
Posted: 02 Apr 2015 | Premiered: 19 Mar 2015

Hewlett-Packard Limited

Using Powerful Analytics to Provide Actionable Insights to Decision Makers
sponsored by Hewlett-Packard Limited
WHITE PAPER: View this white paper to get an inside look at a leader in communications' implementation of an analytics program, which generated a 657% ROI over a five-year period. Read on to learn how a strong analytics system propels positive business outcomes.
Posted: 01 Apr 2015 | Published: 28 Nov 2014

Hewlett-Packard Limited

8 Proven Strategies for Data Integration
sponsored by Information Builders
WHITE PAPER: This white paper highlights 8 proven data integration strategies and uses real-world examples to demonstrate the high-value, high-return data access options that are available to you.
Posted: 25 Mar 2015 | Published: 31 Jul 2014

Information Builders

Looking into Data Warehouse Management? Do Your Homework First
sponsored by SAP
WHITE PAPER: This helpful e-guide illustrates the ways these platforms deliver business value that justifies the cost. Along with learning myriad examples of how real-time, operational reporting and data is worth the price tag, you'll find first-hand accounts of how in-memory data warehousing has served real companies for the better.
Posted: 24 Mar 2015 | Published: 24 Mar 2015

SAP
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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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