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Data Warehousing

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Data WarehousingWhite Papers (View All Report Types)
 
The Human Side of Big Data and High-Performance Analytics
sponsored by SAS
WHITE PAPER: The following white paper explores the through the eyes of pioneering analyst, Tom Davenport, on the importance of the data scientist when it comes to success with big data and advanced analytics. Learn how they how they help, how to onboard or create them, and much more.
Posted: 29 Apr 2014 | Published: 29 Apr 2014

SAS

Visualization: How IBM Business Analytics Lets Users See Big Data
sponsored by IBM
WHITE PAPER: The following white paper explores why big data causes so many businesses problems and how data visualization offers more than just a solution. Learn why big data requires visualization, how it allows for deeper, more meaningful data discovery, and more.
Posted: 06 Jun 2014 | Published: 06 Jun 2014

IBM

MDM and Data Quality for the Data Warehouse
sponsored by Informatica
WHITE PAPER: This executive brief explains how the combination of master data management (MDM) and data quality (DQ) can significantly enhance the accuracy and reliability of data, enabling timely, confident decisions and accurate reporting.
Posted: 26 Mar 2014 | Published: 31 Dec 2013

Informatica

Cost/Benefit Case for IBM PureData System for Analytics: Comparing Costs and Time to Value with Oracle Exadata Database Machine X3
sponsored by IBM
WHITE PAPER: In this white paper, see how expert solutions stack up and learn how to choose which hardware best suits your organization based on the nature of organizational informational architectures, trade-offs between compatibility with existing software and skills, the speed of new application deployment, and costs.
Posted: 22 Nov 2013 | Published: 31 Aug 2013

IBM

ParAccel Analytic Platform: Analytic Offload
sponsored by ParAccel
WHITE PAPER: This informative white paper discusses a platform that offloads your analytics workloads to keep your BI performance at its highest potential, analytic reports produced when you need them as well as enhanced analysis and modeling.
Posted: 09 May 2012 | Published: 09 May 2012

ParAccel

Bringing Hadoop into the Mainstream
sponsored by Kognitio
WHITE PAPER: Read this white paper to discover how an in-memory analytical platform can complement Hadoop, making up for inherent shortfalls from latency and disk access. Receive an introduction to one such solution, designed to tightly integrate with Hadoop and interoperate with all layers of data persistence in an 'Information Anywhere' approach.
Posted: 23 Jul 2013 | Published: 23 Jul 2013

Kognitio

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

Extreme Warehouse Speed for Fast Business Decisions
sponsored by IBM
WHITE PAPER: This e-book explores how forward-looking organizations like yours are using extremely rapid, highly effective analysis of data to change the way they make decisions – enabling them to predict shifts in business and proactively adjust for better business outcomes.
Posted: 03 Sep 2013 | Published: 31 Dec 2012

IBM

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

Unified Data Architecture
sponsored by Teradata
WHITE PAPER: Access the following e-book to uncover the tools and strategies you need to get the most out of big data. Learn from leading authors in the field of data management as they explain some of the common mistakes made by analytics professionals while mining for new insights and what you can do to avoid them.
Posted: 31 Jan 2014 | Published: 31 Jan 2014

Teradata
 
 
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