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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.


InformationBuilders white paper cover image

Leveraging IBM Z and the z/Architecture with the IBM zIIP Specialty Engine for Mainframe FOCUS and WebFOCUS

March 7, 2019

Mainframe FOCUS leverages the system z Integrated Information Processor (zIIP) engine.


Tableau white paper

Why IT Professionals Choose Tableau for Modern BI and Analytics

February 21, 2019

This paper is written for IT and business intelligence decision makers to understand what differentiates Tableau from other analytics solutions in the market.


Tableau white paper

The Modern Approach to Business Intelligence

February 21, 2019

This report outlines seven key attributes of the modern approach to business intelligence that will help you quickly see, understand, and share analytics.


Tableau white paper

The Road Forward: A Roadmap for Scaling Self-Service Analytics

February 21, 2019

Self-service analytics can yield huge business and employee dividends while protecting data assets and providing the “best” source of truth out to the enterprise. New approaches demand a new methodology.


Tableau white paper

Data Governance for Self-Service Analytics

February 21, 2019

Let’s consider the risk of data in transit—and hatch a plan for it.


white paper cover

Delphix for CCPA

January 18, 2019

Achieving compliance with California Consumer Privacy Act (CCPA) is a multifaceted undertaking that requires organization-wide collaboration to address policies, technologies, and human practices associated with the management of personal data.


white paper cover

Transforming Business Through Extreme Performance

January 11, 2019

Reforming daily operations by radically rethinking traditional data warehouse and database processing approaches can lead to competitive differentiation, better innovation, and cost efficiencies.


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