RESEARCH & RESOURCES

Upcoming Webinars

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

Expert Panel: Modern Data Pipelines

Join this TDWI webinar to learn about six popular use cases that are enabled by a logical data fabric.

Fern Halper, Ph.D.


Expert Panel: Best Practices for Building a Cloud Strategy and Migrating to the Cloud

In this panel, TDWI senior research director James Kobielus will lead data industry experts in a discussion of best practices for migrating data analytics to the cloud and for managing those assets on an ongoing basis.

James Kobielus


Constructing Modern Data Engineering Pipelines

Data engineers also need to work with different types of data as well as streaming data pipelines to handle events at scale in real time. No wonder data engineering is no trivial task.


Leveraging AI-Powered iPaaS for Business Process Automation

Join us to explore how shifting from a technical and development perspective to a business perspective can improve business-developer partnerships that can benefit from augmented business process automation.

David Loshin


Optimize Large-Scale Reporting and Complex Analytics with Cloud Data Warehousing

Join this TDWI Webinar to learn how you can meet demands for faster performance and scalability for reporting and analytics even as you are migrating to the cloud and dealing with a hybrid data environment.

David Stodder


Six Popular Use Cases Enabled by a Logical Data Fabric

Join this TDWI webinar to learn about six popular use cases that are enabled by a logical data fabric.

Fern Halper, Ph.D.


Six Popular Use Cases Enabled by a Logical Data Fabric

Join this TDWI webinar to learn about six popular use cases that are enabled by a logical data fabric.

Fern Halper, Ph.D.


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