RESEARCH & RESOURCES

Publications


Demystifying Elastic Data Warehousing cover image

TDWI E-Book | Demystifying Elastic Data Warehousing: Enabling High-Speed Analytics in the Cloud

April 18, 2016

Download this e-book to read articles, opinions, and interviews that will help clarify the benefits and costs of an "elastic" cloud-based data warehouse.


TDWI Checklist Report: End-to-End data management cover image

TDWI Checklist Report | End-to-End Data Management Agility

April 13, 2016

This Checklist explores eight ways to increase data agility with end-to-end data management tools.


Shaping the Future of Data Wareohusing Ebook cover image

TDWI E-Book | Shaping the Future of Data Warehousing through Open Source Software

April 1, 2016

Download this e-book to read articles, opinions, and interviews that will help you understand the benefits and risks of using an open source data warehouse.


Best of TDWI 2016 Cover Image

Best of TDWI, Volume 13

February 19, 2016

The Best of TDWI from 2015 and our best bets for what's coming in 2016.


Seven Best Practices for Adopting Data Warehouse Automation

TDWI Checklist Report | Seven Best Practices for Adopting Data Warehouse Automation

December 18, 2015

This Checklist discusses seven best practices for implementing data warehouse automation within an agile development framework.


TDWI Checklist Report | Seven Steps to Faster Analytics Processing with Open Source: Realizing Business Value from the Hadoop Ecosystem

December 9, 2015

This Checklist discusses seven key considerations to help organizations focus their evaluation and develop a strategy for gaining value from open source technologies to support faster, more powerful, and more flexible analytics.


TDWI Checklist Report | Modernizing Data Integration to Accommodate New Big Data and New Business Requirements

December 2, 2015

This TDWI Checklist Report drills into seven recommendations and discusses many of the new vendor product types, their functionality, and user best practices that can contribute to data integration modernization. It also presents the business case and technology strengths of each recommendation.


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