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Date: April 16, 2024

Time: 1:00pm-1:30pm ET  | 10:00am-10:30am PT 

What you can expect 

New users, models, and applications demand fast, diverse datasets from more sources than ever. To meet this demand, data teams need different styles of data integration for different use cases. The many styles -ETL, virtualization, and so on- can overwhelm even the smartest data engineers. Their primary challenge is to efficiently access, transform, and utilize the right data for effective action.

But what are the most important styles to master? How do you select the right style for the right use case and ensure it drives substantial business value?

This webinar with Kevin Petrie of BARC US and Nick Golovin of Data Virtuality offers an engaging, informative guide to five critical styles for data integration. Data leaders, architects, and engineers will learn:

  • The top five integration styles: ETL, data virtualization, CDC, ELT, and streaming
  • Pros and cons of each and the ideal use cases they support
  • Strategies to bridge the gap between business demands and IT realities
  • Ways in which these integration styles enable architectural approaches such as the data mesh, fabric, and lakehouse

The webinar will also include a Q&A session at the end where you'll be able to dive deeper into the topics covered during the session or get expert advice on your data integration challenges.

Time zone challenges or busy schedules? No worries! Register now and we'll ensure you get the webinar recording to enjoy at your convenience!

Register for free