Dain is the co-creator of Trino & Presto, and is the CTO at Starburst Data. Dain has a rich past in software engineering dating all the way back to his JBoss days. He and Pete will discuss the surprising insight that led to the creation of Presto while he was an engineer at Facebook, and we’ll also hear about some of the key architectural decisions that were made when creating the project. We’ll also learn about Dain’s current work at Starburst and learn why he joined the company that he believes has the best shot at becoming the heir apparent to Presto.

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About Our Guest:
Dain is a co-creator of Trino (formerly PrestoSQL), co-founder of the Trino Software Foundation, and CTO at Starburst. Prior to Starburst, Dain was a Software Engineer at Facebook, A Software Architect at Proofpoint, founded the Apache Geronimo project, and was one of the original JBoss authors.

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About DC_THURS:
DC_THURS is a series of live online interviews with leading data professionals, with a special focus on open source contributors and startups. Each conversation is led by Pete Soderling, founder of Data Council ( datacouncil.ai/) & Data Community Fund ( dcf1.vc/). While replays are available, live attendees get a unique chance to have their questions answered by our guest - so if you can, make sure to join us live on Thursdays at 9:30am PT! Subscribe to our channel to be notified about upcoming episodes. For past episodes, check out the DC_THURS playlist: youtube.com/playlist?list=PLAesBe-zAQmHRsPAHvfx9_lffWPrl3icC

• DC_THURS on Trino ( Download)
• The State of Presto 2020 ( Download)
• Presto: Past, Present, & Future and the Birth of Starburst ( Download)
• DC_THURS : Great Expectations w/ Abe Gong ( Download)
• DC_THURS on ML Model Testing ( Download)
• 3: Running two Presto distributions and Kafka headers as Presto columns ( Download)
• DC_THURS on Great Expectations w/ James Campbell ( Download)
• DC_THURS : Apache Pinot w/ Kishore Gopalakrishna ( Download)
• Get Ready for ML! Level Up Your Data Lake with Delta and lakeFS | Treeverse ( Download)
• How to Create a Shared, Open Standard for Data Quality | Great Expectations ( Download)
• Data Apps: Data warehouse as a Platform | Hightouch ( Download)
• Great Expectations - An Open-Source, One-Stop-Shop for Fuzzy Data Quality Monitoring ( Download)
• [2021-07-09] trying out QUERYBOOK ( Download)
• Real-time Change Data Capture (CDC), Processing and Ingest using Decodable ( Download)
• Materialize+dbt Streaming for the Modern Data Stack | Materialize ( Download)