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RESEARCH & RESOURCES

Publications


TDWI E-Book | Why Enterprises Need Trustworthy Data

June 25, 2014

Without accurate and trustworthy data, the value of enterprise analytics will be diminished. This TDWI E-Book describes the value of confidence in your data, and how to get it.


TDWI E:Book: Modernizing Your Data Warehousing Architecture with Hadoop

TDWI E-Book | Modernizing Your Data Warehouse Architecture with Hadoop

March 13, 2014

This TDWI E-Book features expert Q&A and useful articles about Hadoop’s evolving role in the data warehouse—and tips for getting started in your organization. Learn how to seamlessly integrate Hadoop into your existing system.


TDWI

TDWI's Best of Business Intelligence, Volume 11

February 12, 2014

Another big year has passed for the business intelligence and data warehousing world. Make sure you're up to speed on all that's transpired.


TDWI E-Book: Big Data Management

TDWI E-Book | Big Data Management

January 28, 2014

Big data is part of the new IT environment—and it’s here to stay. Now is the time to begin a big data implementation. But where do you start?


TDWI E-Book | From Enterprise to Personal Search: Flipping the Search Landscape

January 6, 2014

Download this e-book to learn about the benefits of enterprise search, and why traditional search no longer provides users the complete picture of an enterprise's information.


TDWI E-Book: Analytics in the Cloud

TDWI E-Book | Analytics in the Cloud: The Challenges and Benefits

November 15, 2013

Today, organizations are heavily invested in the cloud. Critical business processes depend on cloud services; some are enabled solely by the cloud. In other words, the cloud is our infrastructure. If that’s the case, why do organizations still insist on treating infrastructure as an afterthought?


TDWI

TDWI's Best of Business Intelligence, Volume 10

February 13, 2013

We’re proud to introduce TDWI’s tenth annual Best of Business Intelligence: A Year in Review. In this issue, Stephen Swoyer argues that data management and big data are changing as we know them—and the data warehouse could be next.


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