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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: Overcoming Challenges with Distributed Data to Maximize Business Value

This TDWI Expert Panel will focus on overcoming challenges with distributed data to maximize business value.

David Stodder

2024 Outlook: What Lies Ahead in Generative AI and Analytics

Register today to hear TDWI’s Fern Halper and Cloudera discuss what’s ahead in data and analytics in 2024.

Fern Halper, Ph.D.

Data Engineering Trends in 2024: Solving Challenges to Ensure Success with Analytics, AI/ML, and LLMs

Register today to attend this TDWI webinar where experts will discuss the top data engineering trends and how your organization can address challenges and achieve data-driven objectives.

David Stodder

Expert Panel: Emerging AI Technologies and Use Cases

Join TDWI senior research director James Kobielus and industry experts for an in-depth panel discussion about emerging AI technologies and associated platforms, tools, methodologies, and skill sets.

James Kobielus

Data Virtualization: Powering Distributed Access to Data, Analytics, and Insights

Join us to hear James Kobielus, TDWI senior research director for data management, and Nik Acheson, data and analytics product, strategy, and enterprise architecture leader from Dremio, explore data virtualization.

James Kobielus

Delivering Unified Semantics into Every Data Application

Join us to hear James Kobielus, TDWI senior research director for data management, engage a panel of industry experts and thought leaders from Databricks and as they explore the semantic layer.

James Kobielus

Efficient Strategies for Implementing a Data Lakehouse

This session will provide valuable insights and strategies to more efficiently implement a data lakehouse environment.

Fern Halper, Ph.D.

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