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RESEARCH & RESOURCES

TDWI White Paper Library

TDWI maintains this library of white papers as a resource for in-depth research and commentary about the big data, business intelligence, data warehousing, and analytics industry. The content in this repository is crafted by TDWI's software and consulting partners. To find out how your company can promote its content in this library, click here.


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Intelligent Data Governance for Dummies

January 1, 2019

Data growth will continue for the foreseeable future. Thus, the need to intelligently govern data will only increase


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Datasheet: Pentaho Big Data Integration Analytics

January 1, 2019

From Hadoop and Spark to NoSQL and analytics databases, Pentaho allows you to turn big data into big insights.


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White Paper: InfoGov in a World of Increased Data Regulation

January 1, 2019

Companies today are asked to manage the dual challenge of exponential data growth and increased regulation or face fines and long-term damage to their brands.


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E-Book: Leveraging Hadoop in Analytic Data Pipelines

January 1, 2019

While everyone has a slightly different definition of big data, Hadoop is usually the first technology that comes to mind in big data discussions.


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The Machine Learning Primer

January 1, 2019

With all of the attention on machine learning, many are seeking a better understanding of this hot topic and the benefits that it could provide to their organizations. Machine learning—as well as deep learning, natural language processing, and cognitive computing—are driving innovations in identifying images, personalizing customer experiences, navigating self-driving cars, and much more.


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White Paper: Performance Scalability Overview

January 1, 2019

When selecting a business analytics platform, it is critical to assess the underlying architecture of the platform.


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How Do Recommendation Systems Know What You Might Like?

January 1, 2019

If you’ve ever shopped on Amazon, Pandora, or Netflix, you’ve experienced recommendation systems in action. Learn how these sophisticated systems analyze historical buying behavior and make recommendations in real time, while you’re shopping.


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