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RESEARCH & RESOURCES

Featured Webinars

Upcoming Webinars

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

Multilayered Data Lineage: Understanding Your Analytics Environment from Start to Finish

In this session, we discuss not just the need for data lineage but the different levels or layers of detail data lineage can offer.

Claudia Imhoff, Ph.D.


What’s Ahead in Data Management in 2022?

This webinar brings together a panel of experts, moderated by James Kobielus, TDWI's research director for data management. The panel will discuss the hotter trends in data integration, governance, and management.

James Kobielus


Achieve Multi-Enterprise Supply Chain Visibility with the Data Cloud

Join this TDWI Webinar to learn how to maximize supply chain visibility through modern, cloud-native data management.

David Stodder


What’s Ahead in Analytics in 2022?

This webinar brings together a panel of experts, moderated by Fern Halper, TDWI's lead analyst for advanced analytics. The panel will discuss today's hottest trends in analytics.

Fern Halper, Ph.D.


Modernize Your Infrastructure and Mobilize Your Data

Join us to learn about the trends and pitfalls related to modernizing your infrastructure to cloud, how the pace of on-premises data growth demands is accelerating data streaming to analytics platforms, and why mobilizing your data for the cloud improves business outcomes.

Fern Halper, Ph.D.


Succeeding With a Modern Cloud Data Architecture

Join this webinar with TDWI's senior research director James Kobielus to learn best practices for succeeding with a modern cloud data architecture.

James Kobielus


Putting Customer Data in Shape for Maximum Impact

Join TDWI's senior research director James Kobielus to explore how enterprises are boosting retention, up-sell, personalization, and other monetization outcomes with machine learning-driven approaches to delivering customer insights.

James Kobielus


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