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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 White Papers (View All Report Types)
1 - 25 of 282 Matches Previous Page  |  Next Page
Architecting A Platform For Big Data Analytics
sponsored by IBM
WHITE PAPER: Companies are trying to offer improved personalization to retain customers, and analyzing customer data using predictive analytics is the key. But insights produced by analyzing transactional activity are no longer enough. Learn about new data and technical requirements companies need to identify, process, and analyze data successfully.
Posted: 19 Jun 2017 | Published: 01 Mar 2016

IBM

Five Things to Look for When Implementing a Data Warehouse
sponsored by IBM
WHITE PAPER: Discover a 5-step checklist for important criteria in selecting data warehouse technologies, backed by a recent study.
Posted: 24 May 2017 | Published: 24 May 2017

IBM

3 Ways to Modernize Your Data Strategy in Minutes
sponsored by Google Cloud
WHITE PAPER: Today's organizations are rushing to create actionable insights out of their big data, and this starts with modernizing data warehouses. This white paper provides 3 tips to making your warehouse stronger, smarter, and more profitable.
Posted: 23 May 2017 | Published: 23 May 2017

Google Cloud

Managing Data Complexity: Does Your Warehouse Measure Up?
sponsored by IBM
WHITE PAPER: Learn how to see an increase in revenue by receiving timely data. Access this quick guide to find your way to a Hybrid data warehouse report by Aberdeen Group.
Posted: 22 May 2017 | Published: 22 May 2017

IBM

Boost Business Returns with Faster, Smarter Data Lakes
sponsored by Teradata
WHITE PAPER: To realize the value in organizational data, it is imperative that organizations align forces; choosing the right data lake approach to support business strategy and growth. Learn about Kylo, an open-source data lake management software platform, and how it incorporates data quality, governance, monitoring and more.
Posted: 19 May 2017 | Published: 19 May 2017

Teradata

The Current State of The Cloud Analytics and Data Warehouse Market
sponsored by Teradata
WHITE PAPER: As adoption of cloud software increases, organizations are evaluating the pros and cons of deploying software on the cloud – including data warehousing tools. In this IDC technology spotlight, uncover the current state of the cloud analytics market. Plus, learn about Teradata, a provider of big data analytics and marketing applications technology.
Posted: 17 May 2017 | Published: 01 Jun 2016

Teradata

3 Ways to Modernize Your Data Strategy with Google Cloud
sponsored by Google
WHITE PAPER: No less than 76% of companies are taking steps to improve their existing data warehouses. But as big data keeps getting bigger—and more vital—traditional approaches to storing and analyzing it can't keep up. Learn 3 ways to modernize your data strategy to keep up using Google Cloud.
Posted: 26 Apr 2017 | Published: 26 Apr 2017

Google

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

Drive Deeper Insights across Data with SQL Server 2016
sponsored by Microsoft
WHITE PAPER: Explore how SQL Server 2016 can help drive deeper insights into big data from both relational and non-relational sources, in the cloud and on-premise. Discover how SQL Server 2016 helps you store data in more formats at scale, open up data access, provide predictive analytics, and share insights on-premise, via the web, and through mobile devices.
Posted: 20 Feb 2017 | Published: 30 Jun 2016

Microsoft

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

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

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

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

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

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

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

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
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

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

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