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

Expert Panel: Building the Future with Stream Processing Applications

Join this expert panel to learn more about stream processing applications include fraud detection, processing IoT sensor data, network monitoring, generating context-aware online advertising, cybersecurity analysis, geofencing and vehicle tracking, and many others.

David Stodder


Data Governance in the Data Fabric – What You Need to Know

Join this TDWI webinar to learn more about the data fabric and data governance in the fabric.

Fern Halper, Ph.D.


The Semantic Layer’s Critical Role in Modern Data Architectures

In this webinar, we will discuss what data and analytics leaders need to know to stay up-to-date with modern semantic layer platforms and practices.

Philip Russom, Ph.D.


Machine Learning for the “Other 90%” of Business Use Cases

In this webinar, TDWI senior research director James Kobielus will discuss how a new generation of augmented analytics solutions deliver the value of ML-driven predictive intelligence throughout their operations.

James Kobielus


What’s Ahead in Analytics in 2023?

This webinar brings together a panel of experts, moderated by Fern Halper, TDWI’s lead analyst for advanced analytics.

Fern Halper, Ph.D.


Expert Panel The Future of NoSQL Databases

In this panel, TDWI senior research director James Kobielus will lead data industry experts in a discussion of the future of NoSQL databases.

James Kobielus


Weaving the Data Mesh into Your Cloud Data Strategy

In this panel, TDWI senior research director James Kobielus will engage a data industry expert from Snowflake in an in-depth discussion of how enterprises should make the organizational and technological shifts toward data mesh architectures.

James Kobielus


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