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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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HPC and HPDA for the Cognitive Journey
sponsored by IBM
WHITE PAPER: Big data holds great potential, but right now it's getting in the way, impinging on performance and scaling across most industries. Access this extensive white paper to prepare yourself to not just handle the mountain of data, but mine it for insights that will fuel your organization.
Posted: 07 Mar 2017 | Published: 31 May 2016

IBM

Why Your Data Warehouse Needs a Data Lake and How to Make Them Work Together
sponsored by Zaloni
WHITE PAPER: Complementing your DW with a data lake can be a smart first step. But before tackling a DW augmentation project, it's a good idea to review your current resources and understand what you'll need. Explore 2 reasons why companies augment their DW, tips for seamlessly integrating a data lake into a DW, and more.
Posted: 19 Jan 2017 | Published: 19 Jan 2017

Zaloni

Forecasting BI Trends In 2017
sponsored by Yellowfin
WHITE PAPER: This BARC Research Study reveals a comprehensive picture of regional, company and industry specific differences in the BI market. The study is broken down into 6 areas, discussing top trending topics in BI this year, which industries are best leveraging BI, how the perception of the importance of BI trends varies across the world and more.
Posted: 30 Nov 2016 | Published: 30 Nov 2016

Yellowfin

A Governed Data Lake: The 360┬░ Approach
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

Architecting A Platform For Big Data Analytics
sponsored by IBM
WHITE PAPER: This Intelligent Business Strategies paper explains the new technical and data requirements for identifying, processing, and analyzing data. Discover how to become a disruptor by gaining an understanding of shifting customer behavior.
Posted: 15 Jul 2016 | Published: 31 Mar 2016

IBM

How Hadoop Can Make Integrating Structured And Unstructured Data Simple and Easy
sponsored by IBM
WHITE PAPER: Access this white paper to learn how Hadoop can serve as an integration platform to harmonize data in a way that can be processed in relational databases and data warehouses. Inside, discover how Hadoop acts as a data lake, making mining for important information simple, simplify data access for non-technical users, and more.
Posted: 21 Nov 2016 | Published: 21 Nov 2016

IBM

Benefits and Pitfalls Of Hadoop Adoption
sponsored by IBM
WHITE PAPER: Learn 6 reasons to consider Hadoop for your data management and analytics program, and discover several reasons why such a large program may not be the right fit for you (e.g. you work mainly in SQL or you need high levels of security).
Posted: 21 Nov 2016 | Published: 21 Nov 2016

IBM

Hadoop Makes Big Data Storage Accessible For Everyone
sponsored by IBM
WHITE PAPER: Discover how Hadoop flipped the traditional big data storage paradigm by adopting a philosophy of using commodity hardware and storage to build the equivalent of a data warehouse at a much lower cost. Learn how Hadoop's extreme flexibility gives it the ability to natively scale-out and accommodate both structured and unstructured data.
Posted: 18 Nov 2016 | Published: 18 Nov 2016

IBM

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

Creative Strategies Yield Greater Customer Insight
sponsored by SearchCRM
EBOOK: To improve customer experience, companies need to tune into the different platforms consumers use, unify data silos, integrate information systems and plan thoughtful strategies for engaging customers. Discover how to plug the holes in your business' customer experience strategy.
Posted: 24 Jun 2016 | Published: 24 Jun 2016

SearchCRM

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
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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, … 
Data Warehouses definition sponsored by SearchSAP.com, powered by WhatIs.com an online computer dictionary

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