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RESEARCH & RESOURCES

Featured Webinars

Upcoming Webinars

International Broadcasts

TDWI Webinars on Big Data, Business Intelligence, Data Warehousing & Analytics

TDWI Webinars deliver unbiased information on pertinent issues in the big data, business intelligence, data warehousing, and analytics industry. Each live Webinar is roughly one hour in length and includes an interactive question-and-answer session following the presentation.


On Demand

Strengthen Competitive Advantage Through No-Code Integration

Join TDWI’s senior research director James Kobielus and industry experts from Zift Solutions and Qlik to learn how no-code tools allow you to quickly build the data-driven logic that automates your SaaS-based business processes and dramatically speeds up your enterprise workflows.

James Kobielus


Delivering AI/ML and BI into New Digital Transformation Use Cases

In this panel discussion, TDWI senior research director James Kobielus will engage data industry experts from Impetus and AWS in an in-depth discussion of how AI/ML and BI are driving enterprise business transformation.

James Kobielus


Cloud Data Strategies for Mission-Critical, Distributed Applications

Join this TDWI Webinar to learn how organizations can use modern, NoSQL databases implementing open source Cassandra to meet the data demands of leading-edge, geographically distributed applications.

David Stodder


Virtual Solution Spotlight: Reduce Supply Chain Friction Through the Power of Integrated Data

Sign up to attend this free Virtual Solution Spotlight.


Expert Panel: Accelerating Cloud Data Modernization

Join TDWI Research VP Fern Halper as she hosts an expert panel with leading vendors to discuss cloud data modernization.

Fern Halper, Ph.D.


Key Components of a Successful Automation Implementation

Join this TDWI webinar to learn more about automation, RPA, and how to ensure a successful automation implementation.

Fern Halper, Ph.D.


Unified Data Platform: Tap into Data and Success

This webinar will discuss how organizations can overcome common data and cloud challenges and take advantage of a unified modern data platform.


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