The Best of TDWI from 2015 and our best bets for what's coming in 2016.
This Checklist discusses seven best practices for implementing data warehouse automation within an agile development framework.
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.
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.
Download this e-book to read articles, opinions, and interviews that can guide your approach to understanding and employing data warehouse automation.
Download this e-book to read articles, opinions, and interviews that can guide your approach to understanding and implementing predictive analytics.
To help the reader understand the ongoing evolution of data management—in response to new requirements around big data and analytics—this report provides a checklist of data management practice areas that are most affected. In addition, the report relates new practices to existing ones, indicating when to use which one.
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