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

The Consumable Data Lakehouse: Using It to Advance Data Democratization

Join TDWI’s senior research director James Kobielus as he explores how enterprises can leverage lakehouses to accelerate data democratization. He will reveal best practices for maximizing the consumability of cloud-based data lakehouses.

James Kobielus


Leveraging Your Data in the Cloud: Best Practices For Success

Join TDWI's VP of research, Fern Halper, in a roundtable discussion with Tamr CEO Andy Palmer and Google Cloud director of product management Evren Eryurek about best practices for cleansing, mastering, governing, and leveraging cloud data.

Fern Halper, Ph.D.


Tactical Steps for Cloud Migration

In this webinar, we discuss practices and tactical steps that can alleviate some of the efforts of the cloud migration process.

David Loshin


Modernizing Data Governance for the Cloud

Join this TDWI webinar to learn how you can create a strategy for success with data governance in the cloud.

David Stodder


The Data Office in the New Normal

Attend this TDWI Webinar to learn more about the data office, what it does, how it operates, and how to get started.

Fern Halper, Ph.D.


Accelerate Confident Decision-Making with Data Enrichment

Join this TDWI Webinar for presentations and a roundtable discussion about how to realize the value of incorporating data enrichment into current business processes for better-informed, data-driven decisions.

David Stodder


Modernizing the Analytics Data Pipeline

Join TDWI's senior research director James Kobielus to explore how forward-looking businesses build agile, scalable, and manageable analytics data pipelines.

James Kobielus


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