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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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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


The Benefits and Challenges of the Cloud
sponsored by Oracle Corporation
EGUIDE: A growing amount of companies are cloud-bound, particularly for sales and marketing applications - but are they correctly leveraging data with these apps? Discover answers to your integration inquiries and other expert cloud tips in the following e-guide.
Posted: 14 May 2015 | Published: 14 May 2015

Oracle Corporation

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

Top 5 Big Data Integration Mistakes to Avoid
sponsored by Oracle Corporation
WHITE PAPER: In this white paper, discover the five vital mistakes that lead to failures in big data projects and how to avoid them.
Posted: 30 Apr 2015 | Published: 30 Apr 2015

Oracle Corporation

Oracle Enterprise Metadata Management
sponsored by Oracle Corporation
WHITE PAPER: View this informative white paper to explore an enterprise metadata management product that is designed to help organizations tackle data governance, productivity improvement, and lifecycle management challenges.
Posted: 24 Apr 2015 | Published: 24 Apr 2015

Oracle Corporation

Data Security Strategies for Next Gen Data Warehouses
sponsored by IBM
WHITE PAPER: In this white paper, you will learn why you need an end-to-end security strategy for data warehouse environments and why perimeter defenses such as firewalls and user access management fail to detect threats.
Posted: 22 Apr 2015 | Published: 17 Jul 2013

IBM

Striving for, and Achieving, BI and Analytics Platform Success
sponsored by Birst
WHITE PAPER: The following white paper captures an organization's ability to become data-driven, with the combination of flexibility and speed, as well as the consistency and governance required by BI tech professionals. Discover how successful companies navigate the complexities of centralized and decentralized organizational models for business intelligence.
Posted: 22 Apr 2015 | Published: 22 Apr 2015

Birst

Big Data Integration-Big Data Reservoir
sponsored by Oracle Corporation
WEBCAST: By 2016, enterprises will have produced 22 times more data than in 2011. Managing Big Data growth is crucial and a Big Data Reservoir can make it easier by lowering the TCO for the Data Warehouse and providing faster access to analytical data. This webcast describes the Big Data Reservoir and how it can simplify Big Data integration.
Posted: 21 Apr 2015 | Premiered: Sep 17, 2014, 01:00 EDT (05:00 GMT)

Oracle Corporation

The Intelligent Data Warehouse
sponsored by Informatica
WHITE PAPER: Discover how your organization can change the way you store and access data to yield better business intelligence insights. Uncover the power of the intelligent data warehouse and learn how effective master data management can revolutionize the way to see business intelligence.
Posted: 21 Apr 2015 | Published: 21 Apr 2015

Informatica

The Dark Data Imperative
sponsored by Informatica
WHITE PAPER: Learn how your organization can capitalize on your dark data to uncover valuable insights into your business processes in this informative white paper. Read on to get an in-depth explanation of dark data, and discover the top 4 reasons companies overlook it.
Posted: 16 Apr 2015 | Published: 16 Apr 2015

Informatica

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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