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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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The Forrester Wave™: Machine Learning Data Catalogs

June 9, 2020

Enterprises are turning to data catalogs to democratize access to data, enable tribal data knowledge to curate information, apply data policies, and activate all data for business value quickly.


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Data-driven DevOps with IBM Virtual Data Pipeline and IBM Cloud Object Storage

June 9, 2020

Read this ESG Technical Validation report to learn about the cost-effective and time-saving test and development database environments that IBM provides.


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Unlocking the Value in Data Lakes with Hybrid Cloud Analytics

June 5, 2020

Did your company invest heavily into your data lake, but you’re still looking for business value?


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Modernizing Your Data Warehouse for Hybrid Cloud Analytics

June 5, 2020

In this white paper, you’ll learn how a modern data strategy based on hybrid cloud not only supports all of today’s requirements but also provides a path to the future.


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Analytics and Cloud Infrastructure Spending During Disruption

June 5, 2020

Yellowbrick Data recently surveyed 1,000 enterprise IT managers and executives to uncover their infrastructure priorities during this era of economic uncertainty and disruption.


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The Strategic Advantages of Hybrid Cloud Data Warehousing

June 5, 2020

In this white paper from 451 Research, you’ll learn how hybrid cloud is viewed as a strategic imperative to enable enterprises to make the most efficient use of their data warehouse infrastructure.


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Top Cloud Data Warehouses for the Enterprise: Amazon vs. Azure vs. Google vs. Snowflake

May 20, 2020

This e-book describes leading cloud data warehouses and their noteworthy differences and proven approaches that make them accessible, effective, and efficient for all data users.


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