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.


Deep Learning: A Guide for Enterprise Architects

May 14, 2018

Download this white paper for an introduction to deep learning. Learn how Cloudera’s unified platform for data and machine learning can help your organization move forward with deep learning.


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Transforming Life Insurance with Big Data and Machine Learning

May 14, 2018

Download this white paper to learn how Cloudera provides a new paradigm for breaking data silos, so insurers can blend and analyze data from any source, in any amount, and for all types of workloads.


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Modernizing the Analytic Database with Cloudera Enterprise

May 14, 2018

Learn how Cloudera Enterprise provides a new kind of analytic database designed to tap into the full value of your data. As an adaptive, high-performance, analytic database, it opens up BI and exploratory analytics over more data—using the skills analysts already rely on—to derive instant value.


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Keep your Data Lake Pristine with Big Data Quality Tools

May 4, 2018

As the volume and variety of big data sources continue to grow, the level of trust in that data remains troublingly low, but it doesn’t have to be.


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Cloud Data-Quality Tool Considerations

May 4, 2018

Learn the seven key considerations for organizations deciding which role the cloud should play in their data quality tool strategy.


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The New Rules for Your Data Landscape

May 4, 2018

Download this eBook and join us on a journey as we describe the new rules that are transforming the relationship between business and IT and unleashing the power of data.


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Get More from Your Mainframe with Big Data Technologies

May 4, 2018

Uncover the six key questions you need to ask yourself to get around basic challenges and begin to reap the promised benefit of your big data implementation.


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