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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.


Tableau whitepaper cover image

Why Visual Analytics?

October 7, 2019

Data exploration usually starts with a question. But the answer to that question doesn’t need to be the end of the journey.


Tableau white paper cover

Governed Self-Service Analytics at Scale

October 7, 2019

Download this white paper to learn the four key steps to successfully deploying governed self-service analytics across your organization.


Syncsort white paper

Best Practices for Data Integration in Hybrid Cloud

October 1, 2019

Download this e-book to learn more about data integration challenges and three best practices for data integration in hybrid cloud.


Syncsort white paper

Real-Time Legacy Data Use Cases

October 1, 2019

Download this white paper to explore four real-time legacy data use cases.


Oracle eBook

What Is Augmented Analytics? Powering Your Data with AI

September 30, 2019

In this report, we precisely define what augmented analytics is, explain best practices for deploying augmented analytics, and show how you can use augmented analytics practically within real-world case studies.


Enterprise Dimension and Hierarchy Management for BI and Big Data

September 27, 2019

When it comes to understanding the rationale behind managing enterprise dimensions, attributes, and hierarchies, many people are at a loss. This is a problem because neglecting the management of enterprise dimensions, attributes, and hierarchies will result in erroneous analysis.


TIBCO Data Virtualization: A Security Layer for Analytics

September 27, 2019

This white paper provides information about how data virtualization can be used as a security layer for analytics.


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