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Tactical Data Warehouse Development

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Tactical Data Warehouse Development White Papers (View All Report Types)
 
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

Is The Data Warehouse Dead?
sponsored by IBM
WHITE PAPER: This white paper investigates the current state of data warehouses as big data comes to the forefront as an alternative. Read on to see what a survey of you peers thought regarding the question of the death of data warehouses.
Posted: 15 Sep 2015 | Published: 31 Jan 2015

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

TDWI Checklist Report: Data Requirements for Advanced Analytics
sponsored by SAS
WHITE PAPER: This checklist lists and explains data requirements that are unique to advanced analytics. This report focuses on the data requirements of advanced analytics so organizations may become better equipped to populate a data warehouse or analytic database with data and data models that ensure the success of advanced analytic applications.
Posted: 07 Apr 2010 | Published: 07 Apr 2010

SAS

The Unique Requirements of Product Data Quality
sponsored by Silver Creek Systems
WHITE PAPER: TDWI explores traditional approaches to data quality, which focus on well structured data, and shows why these do not work with less structured product data. Read about Product Data's unique requirements and how to address them.
Posted: 23 Jul 2008 | Published: 01 Mar 2008

Silver Creek Systems

Harness Your Data for Better, Faster Decision-Making
sponsored by Dell Software
WHITE PAPER: In this new Dell white paper, learn about the challenges of data warehouses. Then, discover a powerful data warehouse appliance that can be quickly deployed, loads data almost immediately and helps eliminate the challenges of traditional data warehouse strategies. Download this valuable white paper today.
Posted: 10 May 2013 | Published: 10 May 2013

Dell Software

Harnessing the Value of Big Data Analytics
sponsored by Teradata
WHITE PAPER: Access the following white paper to uncover the tools and strategies you need to know to be able to pull actionable insight from big data. Discover how to choose the right solutions for big data analytics, the challenges of converting big data to insight, and more.
Posted: 29 Jan 2014 | Published: 29 Jan 2014

Teradata

IBM Smarter Planet Storage Solutions Insight Series
sponsored by IBM
WHITE PAPER: This paper describes how pervasive data-generating technologies are now available and examines the growing need to mine emerging applications for competitive advantage.
Posted: 19 May 2011 | Published: 01 Feb 2011

IBM

Best Practices for Implementing a High-Performance Data Warehouse
sponsored by SAS
WHITE PAPER: There are more new forms of data today than ever before, and traditional business intelligence systems cannot always handle the amount of stress from this influx of information.  Check out this white paper to discover a system known as 'high performance data warehousing' that can help you successfully analyze and glean insights from your big data.
Posted: 11 Apr 2013 | Published: 31 Dec 2012

SAS

Rapid Deployment and Expansion: Business Analytics and Data Warehousing on System z
sponsored by IBM
WHITE PAPER: The following white paper addresses the challenges with expansion and how to overcome them. Discover cost-effective ways to choose from turn-key deployment and keep pace with the rapid growth of user data.
Posted: 12 Nov 2013 | Published: 12 Nov 2013

IBM
 
 
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