On-demand Webinar

Starburst Enterprise Q4 Product Release

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Starburst Enterprise’s Q4 release provides Starburst customers with net new capabilities alongside more advanced connectivity, improved performance, and an enhanced experience. Among the net new capabilities, official support for Apache Iceberg and MinIO provides even more optionality in your architecture. The new integration with dbt provides further functionality to use SQL to create production-ready pipelines executed via Starburst for improved performance. And new enhancements to Starburst Insights adds LiveQueries to help with query troubleshooting alongside updates to Worksheets user experience.

In this webinar, Russell Christopher, Director of Product Strategy, and Tom Nats, Director of Customer Solutions & Architecture, will show Starburst Enterprise’s 364-e LTS new enhancements for Starburst Insights, in addition to new features like dbt integration, support for Apache Iceberg & MinIO, and other new and enhanced performance, and connectivity features. 

We will cover:

  • How Starburst provides even more flexibility in your data lakehouse architecture
  • Troubleshooting queries in Starburst Insight’s LiveQueries
  • Using Starburst’s new dbt integration 
  • New connectivity to Vertica and Splunk

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Tom Nats

Director, Customer Solutions

Tom Nats is Director of Customer Solutions at Starburst. He has over 20 years of hands-on experience in data warehousing, data lakes, data integration, and architecture. His current technical focuses include assisting customers with architecting the next generation of data analytics infrastructure including helping with the quickly growing adoption of Presto as the industry-standard query engine of choice.

Russell Christopher

Director, Product Strategy

I am a Product and Sales leader with over 15 years of experience helping hypergrowth companies scale. I live in the data architecture, analytics, and BI space. I love the cloud.

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Up to $500 in usage credits included

  • Query your data lake fast with Starburst's best-in-class MPP SQL query engine
  • Get up and running in less than 5 minutes
  • Easily deploy clusters in AWS, Azure and Google Cloud
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