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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

Real-Time Data Processing: Five Use Cases You Should Know

Join this webinar to learn more about extreme real-time use cases and how modern data platforms can help.

Fern Halper, Ph.D.


The Who, What, When, Where, and Why of Modern Data Transformation

Join this TDWI webinar to learn more about the who, what, when, where, and why of modern data transformation.

Fern Halper, Ph.D.


Expert Panel: Advances in Analytics

In this expert panel, we will discuss hot topics in analytics, such as emerging large language models, neural network algorithms, Composite AI, transfer learning, and reinforcement learning, and how they can benefit your organization. We will also discuss what it takes to succeed with advanced analytics.

Fern Halper, Ph.D.

Sponsored by the following vendors: SAP, Lumenore


Simplifying Cloud Data Integration with Automated DataOps and ELT

In this panel discussion, we review some of the more challenging issues companies face when blending multiple data sources to drive data integration, analysis, and consumption.

David Loshin


Optimizing The Cost Of Cloud Data

In this webinar, TDWI senior research director James Kobielus will discuss best practices for assessing, analyzing, and optimizing the costs of cloud data in order to maximize the return on investment from this precious business resource.

James Kobielus


Building a Real-Time Lakehouse with Data Streaming

Please join TDWI’s senior research director James Kobielus on this webinar, in which he, Databricks’ Spencer Cook, and Striim’s John Kutay, will discuss how enterprises can incorporate change data capture and data streaming in a cloud-based lakehouse to drive real-time data-driven insights, operations, and customer engagement.

James Kobielus


Simplifying Cloud Data Integration with Automated DataOps and ELT

In this panel discussion, we review some of the more challenging issues companies face when blending multiple data sources to drive data integration, analysis, and consumption.

David Loshin


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