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Daniel Tenedorio

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Daniel Tenedorio

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Sr. Staff Software Engineer Databricks

Daniel Tenedorio is a senior staff software engineer at Databricks, working on Spark Core and Spark SQL. He interacts with the Apache Spark™ open-source community to develop and review query processing features. Daniel has a breadth of experience in database systems development from building and launching features underpinning multiple major production services over time.

Bio from: Data + AI Summit 2025

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Deep Dive into the New Features of Apache Spark™ 3.4

Join us for this Technical Deep Dive session. In 2022, Apache Spark™ was awarded the prestigious SIGMOD Systems Award, because Spark is the de facto standard for data processing.

In this session, we will share the latest progress in Apache Spark community. With tremendous contribution from the open source community, Spark 3.4 managed to resolve in excess of 2,400 Jira tickets. We will talk about the major features and improvements in Spark 3.4. The major updates are Spark Connect, numerous PySpark and SQL language features, engine performance enhancements, as well as operational improvements in Spark UX and error handling.

Talk by: Xiao Li and Daniel Tenedorio

Connect with us: Website: https://databricks.com Twitter: https://twitter.com/databricks LinkedIn: https://www.linkedin.com/company/databricks Instagram: https://www.instagram.com/databricksinc Facebook: https://www.facebook.com/databricksinc