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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 knowledge warehouse is the component of an enterprise's knowledge management system where knowledge is developed, stored, organized, processed, and disseminated. (A knowledge warehouse can also be called a data repository.) According to consultant and author Stanley Davis, "...information is about taking data and putting it into a meaningful pattern. Knowledge is the ability to use that information."  … 
Definition continues below.
Data Warehouses Reports
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Introducing Microsoft SQL Server 2016
sponsored by Microsoft
EBOOK: This robust e-book explores SQL Server 2016. Learn about its newest capabilities that can enable you to boost performance with: faster queries, an improved database engine, integrated reporting and analytics, and more.
Posted: 06 Oct 2016 | Published: 06 Oct 2016

Microsoft

Why Cloud is The Future of Data Warehousing
sponsored by IBM
WHITE PAPER: This 2 page whitepaper explores how you can stay ahead in a world full of big data by combining the processing power of data warehousing with the agility and flexibility of the cloud. Find out how you can determine data quality with an automated efficiency query, advance processing so your entire dataset doesn't have to fit in-memory, and more.
Posted: 30 Sep 2016 | Published: 30 Sep 2016

IBM

Data Warehousing in the Cloud: An Essential Adoption Checklist
sponsored by IBM
RESOURCE: Discover how to glean greater business value from your data by utilizing a cloud-based data warehouse. Uncover a 7-point checklist that will facilitate easy adoption, including instructions on how to meet consistent performance requirements and proactively manage data connectivity.
Posted: 30 Sep 2016 | Published: 30 Sep 2016

IBM

Multifaceted IoT Data Management Demands Vigilance, Flexibility, Upgrades
sponsored by SearchDataManagement
EBOOK: This handbook on IoT data management practices examines the challenges that must be addressed on the road to effective IoT management. It advises organizations to bulk up their IT architecture before tackling massive amounts of IoT data, proposes four critical steps in formulating all-encompassing IoT data management practices, and more.
Posted: 23 Aug 2016 | Published: 23 Aug 2016

SearchDataManagement

A Data Warehouse for Big Data and Beyond
sponsored by IBM
WHITE PAPER: Considering how heavily business decisions now rely on data (and now big data), your data warehouse needs to be working at its maximum potential to handle the demands. If you're just exploring what's out there, or looking to optimize/modernize your warehouse, learn which services will be needed in the era of big data.
Posted: 19 Aug 2016 | Published: 31 Dec 2015

IBM

An Analytical Approach to your Data Architecture
sponsored by Zaloni
WHITE PAPER: With so much data available, managed data lakes are becoming crucial to the modern data architecture. Learn how they can give your enterprise the agility and scalability needed for timely discovery and valuable business insights from big data.
Posted: 15 Aug 2016 | Published: 15 Aug 2016

Zaloni

An Analytics Use Case for Unified Data
sponsored by Zaloni
WHITE PAPER: In a time when the variety and volume of data is continuously growing, data lakes are an emerging and powerful architectural approach, providing much needed flexibility. Learn more about the differences between data lakes and EDWs, keys to data lake management, and common use cases.
Posted: 15 Aug 2016 | Published: 15 Aug 2016

Zaloni

Data Management Architectures for Advanced Business Use Cases
sponsored by Zaloni
EBOOK: Data lakes allow for all data to be stored regardless of source or format, including new types of social media and IoT data. Access this e-book for a comprehensive guide to data lakes and determine whether a data lake or EDW is right for your business.
Posted: 12 Aug 2016 | Published: 04 Mar 2016

Zaloni

How Embedded BI Programs Turn Analytics Into Action Fast
sponsored by SAP
EGUIDE: In this expert e-guide, you'll discover 10 best practices for implementing a fast new BI platform or improving your existing one. Then, learn the story of how Urban Airship Inc. developed an embedded analytics program of their own.
Posted: 02 Nov 2016 | Published: 02 Nov 2016

SAP

Data Warehousing Is Improved By Integrating Big Data Capabilities
sponsored by IBM
EGUIDE: Both big data and data warehousing systems experience increased performance when they work together. In this expert e-guide, uncover the importance of data warehouses' storage and organization abilities, and learn how they can be combined with the increased analytics power of big data systems to provide improved insights.
Posted: 20 Oct 2016 | Published: 20 Oct 2016

IBM

Visualizing the Future of Big Data and Predictive Analytics
sponsored by SearchDataManagement
EZINE: Explore how predictive analytics and data visualization can help you make sense of your analytics, how a security expert/cryptographer is using big data analytics and the cloud to make open source code safe for app developers and off-limits to hackers, and more.
Posted: 06 Oct 2016 | Published: 06 Oct 2016

SearchDataManagement

Improving Manufacturing with Advanced Data Analytics
sponsored by Intel Corporation
WHITE PAPER: Increasing complexity in products, manufacturing processes, and the Internet of Things (IoT) means that massive amounts of data are being generated every day. Find out how to address 3 of the biggest challenges of data management with integrated analytics so you can reduce costs, improve process cycle time, and speed up time to market.
Posted: 24 Aug 2016 | Published: 31 May 2016

Intel Corporation

Integrated Analytics: Manage the Growing Diversity of Sales and Marketing Data Sources
sponsored by Intel Corporation
WHITE PAPER: This white paper explores how to enable an integrated analytics approach by leveraging data lake models, visualizations, and self-service BI. Find out to simplify big data, overcome traditional data warehouse limitations, and increase efficiency with automation.
Posted: 24 Aug 2016 | Published: 31 Oct 2015

Intel Corporation

An Integrated Approach: Analytics, Data Warehouses, Big Data and More
sponsored by IBM
WEBCAST: Find out how you can leverage an integrated appliance to make data computing simpler. You'll discover how to bring analytics right into the database, add agility, and eliminate siloes. Additionally, you'll learn how to optimize the performance of data warehouse services for analytic apps, including those that require big data capabilities.
Posted: 19 Aug 2016 | Premiered: Aug 19, 2016

IBM

Hadoop Deployments: Maximizing Efficiency for Big Data Analytics
sponsored by IBM
EGUIDE: Many businesses recognize Hadoop as a premier cloud app framework, but they still don't know how to deploy Hadoop properly or prepare for its pitfalls. In this e-guide, we identify and explore some of the biggest Hadoop challenges. Find out how to resolve these issues and unlock the benefits of big data analytics.
Posted: 28 Jul 2016 | Published: 26 Jul 2016

IBM

Maximizing Your Data Lake with a Cloud or Hybrid Approach
sponsored by IBM
WHITE PAPER: Access this Aberdeen Research report to discover how a Hadoop-based data lake maintained in a cloud or hybrid environment can provide benefits such as greater access to data across the organization, enhanced accuracy in the analysis process, and more.
Posted: 14 Jul 2016 | Published: 31 May 2016

IBM

The Future of Data Warehousing Infrastructure and Architectures
sponsored by IBM
EGUIDE: This e-guide examines how a shift from traditional data warehousing (DW) appliances to an infrastructure that combines traditional DWs with big data technologies offers new opportunities for businesses to address needs such as costs, flexibility and agility while eliminating key technology silos.
Posted: 13 Jul 2016 | Published: 11 Jul 2016

IBM

Augment and Extend the Life of Your Data Warehouse
sponsored by IBM
WHITE PAPER: Learn how organizations currently using a high powered data warehouse appliance can augment and extend the life of their data warehouses with industry-leading cloud data services. Discover tips for "future-proofing" your data warehouse and more.
Posted: 05 Jul 2016 | Published: 31 Oct 2015

IBM

Understanding Insurance Industry Data Warehousing Challenges
sponsored by IBM
WHITE PAPER: Learn how enhancements in the areas of life insurance and workers' compensation help companies address economic and technological challenges. Plus, discover how to build an effective data warehouse that provides a flexible, scalable solution which enables the consolidation and integration of data.
Posted: 30 Jun 2016 | Published: 30 Nov 2014

IBM

Reach New Performance Heights with Cloud Data Warehousing
sponsored by IBM
WHITE PAPER: Discover a high performance cloud data warehouse service that can enable simple and fast information management, analytics, and business intelligence operations in the cloud. Explore how your enterprise can manipulate and analyze data without the added complexity of network cluster maintenance and database management.
Posted: 21 Jun 2016 | Published: 31 Jul 2015

IBM

Cloud-based data warehousing as-a-service, built for analytics
sponsored by IBM
MICROSITE: Discover how a cloud-based data warehouse service offers integrated analytics to rapidly deliver answers. IBM's dashDB offers unique in-database analytics, R predictive modeling, and business intelligence tools could free you to analyze your data and get precise insights, quicker.
Posted: 21 Jun 2016 | Published: 31 Jul 2015

IBM

30-Day dashDB: Test Drive Data Warehousing and Analytics Functionalities
sponsored by IBM
TRIAL SOFTWARE: A well-designed data warehouse system can help boost the corporate bottom line, but if you aren't careful, data warehouse performance can bog down in different places. Start a free 30-day trial to dashDB, a fully-managed cloud data warehouse built specifically for analytics. Take their data warehousing and analytics capabilities for a test drive.
Posted: 21 Jun 2016 | Premiered: 17 Jun 2016

IBM

Cloud-based data warehousing as-a-service, built for analytics
sponsored by IBM
WHITE PAPER: Traditional data warehousing has long been a painstaking endeavor, but today you have other options. Read on to learn about a fully managed, cloud data warehouse solution and the benefits it could help you realize.
Posted: 17 Jun 2016 | Published: 31 Jul 2015

IBM

Preparing Your Data Architecture for Big Data Analytics
sponsored by Hewlett-Packard Enterprise
EGUIDE: While big data can provide actionable insights to drive business value, your enterprise can't experience those benefits without the right data architecture in place first. In this e-guide, analytics expert Lyndsay Wise reveals the 4 crucial factors to keep in mind before embarking on a big data project.
Posted: 25 May 2016 | Published: 16 May 2016

Hewlett-Packard Enterprise

TDWI Checklist Report: Data Warehousing in the Cloud
sponsored by IBM
WHITE PAPER: Using a cloud-based data warehouse provides value. Uncover ways this approach to data warehousing can reduce startup costs, potentially eliminate ongoing maintenance costs, accelerate analysis, and more.
Posted: 23 May 2016 | Published: 23 May 2016

IBM
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DATA WAREHOUSES DEFINITION (continued): …  Thus, a knowledge warehouse comprises not just data, but information and applications that help an enterprise use its data to best advantage, such as procedural knowledge, business rules, best practices, directories, and decision support systems. In addition to the business sector, knowledge warehouses are used in a variety of other environments, including educational, security, justice, and medical systems.Typically, users interact with a knowledge warehouse through a portal-like interface that enables customized access to various elements, such as databases, presentations, and data, audio, … 
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