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 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


Application Modernization with Actian Avalanche and Google Cloud: A Case Study

Join this TDWI webinar for an interactive panel discussion on how to manage application requirements in a hybrid cloud data warehouse environment and make the ultimate migration to the cloud seamless for users and applications.

David Stodder


Six Steps for Improving Cloud Cost Management

Join this TDWI Webinar to learn how your organization can increase granular visibility into cloud costs and apply advanced analytics including machine learning to improve cloud cost management.

David Stodder


Using Observability to Boost Quality and Efficiency Throughout the Data Pipeline

Join TDWI's senior research director James Kobielus on this webinar to explore best practices for using observability tools to monitor, manage, and optimize operational data pipelines.

James Kobielus


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