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Knowledge WarehouseWhite Papers (View All Report Types)
 
Three must-have capabilities for today's data warehouse environment
sponsored by IBM
WHITE PAPER: In this e-book, learn how a new, innovative data warehousing technology delivers on the three essential components of modern warehouse environments: speed, simplicity, and affordability.
Posted: 15 Jul 2014 | Published: 31 May 2013

IBM

The Hadoop Data Refinery and Enterprise Data Hub
sponsored by MapR Technologies
WHITE PAPER: Learn about an enterprise data solution that includes a data landing zone and data refinery on a much lower cost Hadoop platform capable of managing increasing data volumes.
Posted: 02 Sep 2014 | Published: 31 May 2014

MapR Technologies

The Next Era Of Data Architecture Developing A Smart Data Management Strategy
sponsored by SAP America, Inc.
WHITE PAPER: According to Forrester, without collapsing and consolidating the expanding IT landscape of technology stacks, your business can easily end up fractured and broken across your technology silos. Look at the finding to find ways to simplify your IT landscape and free your data from infrastructure silos.
Posted: 18 Sep 2014 | Published: 18 Sep 2014

SAP America, Inc.

The IBM DB2 Analytics Accelerator for z/OS, V2.1
sponsored by IBM
WHITE PAPER: The survival of a business is directly related to how quickly they can make strategic decisions. This white paper explores an analytics accelerator that expedites complex queries, allowing you to respond quickly to changing conditions.
Posted: 09 Jul 2012 | Published: 01 Oct 2011

IBM

Architecting A Big Data Platform for Analytics
sponsored by IBM
WHITE PAPER: Business is now demanding more analytical power to analyze new sources of structured and multi-structured data. The IBM Big Data Platform rises to the challenge to create this new analytical environment, making IBM a serious contender to support end-to-end analytical workloads.
Posted: 14 Aug 2013 | Published: 31 Oct 2012

IBM

Apache Hadoop Patterns of Use
sponsored by Hortonworks
WHITE PAPER: When it comes to Hadoop, the technology most often associated with big data, why is it so popular? Does it actually live up to the vendor hype? Check out this informative resource to get the real guidance you need to figure out where Hadoop fits into your organization, and how you can leverage it to extract the most from your big data.
Posted: 17 Jul 2013 | Published: 30 Apr 2013

Hortonworks

FAQ: Jump-start your big data journey with big data exploration
sponsored by IBM
WHITE PAPER: You know that there's a wealth of information to unlock inside "big data," but where do you start? Big data exploration allows you to navigate all potential data sources to determine how best to proceed. In this Q and A, learn how to plan and execute a big data exploration project, measure the business benefits of such a project, and much more.
Posted: 19 Jul 2013 | Published: 19 Jul 2013

IBM

IBM Cognos Data Manager
sponsored by IBM
WHITE PAPER: Access the following white paper to uncover how a data manager works seamlessly with your Cognos BI solution to help simplify the way your data is presented. Get a firsthand look at how simplification can effectively increase the performance of the end user and more.
Posted: 15 Jan 2014 | Published: 15 Jan 2014

IBM

A New Dimension to Data Warehousing: 2011 IOUG Data Warehousing Survey
sponsored by Oracle Corporation
WHITE PAPER: A recent IOUG survey discovered that while most organizations have a well-established data warehouse, acceptance within their companies is still limited. Inside this exclusive study, learn how companies can start taking more advantage of their data warehousing systems to successfully manage the growing amounts of “big data".
Posted: 29 Jun 2012 | Published: 07 Sep 2011

Oracle Corporation

Integrating Analytics into the Operational Fabric of Your Business
sponsored by IBM
WHITE PAPER: Read this paper by industry expert Dr. Barry Devlin and learn everything you need to know about operational analytics and how it can benefit your business. Discover its relationship to BI, how traditional data warehouse support it, its architectural advantages and so much more.
Posted: 29 Jun 2012 | Published: 18 Apr 2012

IBM
 
 
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