RESEARCH & RESOURCES

Upcoming Webinars

International Broadcasts

TDWI On-Demand Webinars on Data Management, Analytics, & AI

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

Modernizing the Organization to Support Data and Analytics

Join TDWI's VP of Research, Fern Halper, Ph.D., as she discusses the results of her latest TDWI Best Practices Report on how successful companies are organizing to execute a winning strategy with analytics.

Fern Halper, Ph.D.


Real-Time, Scalable Applications Powered by a Modern Data Platform

Join TDWI's VP of Research, Fern Halper, together with representatives from Redis and Ekata as they discuss one such use case supporting the Ekata smarter identity verification application.

Fern Halper, Ph.D.


Delivering Real-Time Business Insights from ERP Data in the Cloud

In this webinar, join TDWI's senior research director James Kobielus as he explores how self-service analytics can help businesses make the most of the ERP data that they manage in the cloud.

James Kobielus


Increasing the Value of Product Data by Combining PIM, MDM, and AI/ML

Join this TDWI Webinar to learn how PIM reduces the data management and preparation load on data scientists and engineers so they can concentrate on what AI/ML does best.

David Stodder


Six Strategies for Modernizing and Migrating ETL to the Cloud

Join this TDWI webinar to learn effective strategies for leveraging the value of existing on-premises ETL assets to accelerate cloud data migration and modernization.

David Stodder


Unlocking the Promise of Customer 360

Join TDWI’s senior research director James Kobielus as he moderates this expert panel on the customer engagement practices and strategic data analytics investments that are bringing customer 360 to the forefront in today’s business world.

James Kobielus


Data-as-a-Service for Geospatial Data: A Keystone for Data-Driven Organizations

The data-as-a-service (DaaS) model addresses the challenges related to finding or sourcing third-party data to make this data more actionable and discoverable.

Fern Halper, Ph.D.


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