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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Optimize Storage Economics and Data Management with Machine Learning

With unstructured data growing today at a dramatic rate, managing it requires a new approach—one that can automatically make intelligent decisions so IT does not have to do so manually.


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E-Book: Streaming Change Data Capture – A Foundation for Modern Data Architectures

Download this book to understand how change data capture (CDC) technology works, why CDC is needed, and what your peers have learned from their CDC implementations.


Incorta white paper

The Good, the Bad, and the Ugly of Extract Transform Load (ETL)

Avoid the unnecessary parts of ETL to maintain data integrity and achieve faster time to value for your analytics initiatives.


Hortonworks white paper

U.S. Banking Update: Opportunities and Challenges for IT in 2018

This IDC Perspective describes the technology investment priorities, challenges, and opportunities of banks and credit unions in the United States in 2018.


Hortonworks white paper

The EDW Lives On: The Beating Heart of the Data Lake

Finally, we can move beyond the conflict between data warehouse and data lake! It’s no longer one vs. the other but, rather, how these two concepts can complement one another for the benefit of both business and IT.


Hortonworks WP cover

Balancing the Value of the Cloud Against Data Imperatives

The only way to bring order to this chaotic environment is to employ a comprehensive hybrid cloud strategy that provides data management capability across cloud, multicloud, and on-premises infrastructure.


Hortonworks white paper

Data and Analytics Are the Keys to Banking's Future

Banks consider big data analytics a competitively differentiating technology.


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