Speaker

Andy Konwinski

Activities

2

talks

Co-founder Databricks

Andy Konwinski is a co-founder of Databricks, Perplexity, and Laude Ventures. His work spans research and real-world impact in AI, data, and software infrastructure. At Databricks he most recently ran AI Product and he continues to serve as President of Perplexity. He got his PhD in Computer Science from UC Berkeley, where he contributed to Apache Hadoop and co-created Apache Mesos and Apache Spark. He co-teaches a PhD seminar entitled “Research to Startups” at UC Berkeley.

Bio from: Data + AI Summit 2025

Frequent Collaborators

Matei Zaharia Databricks 2

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Data + AI Summit 2025 1 O'Reilly Data Engineering Books 1

Talks & appearances

2 activities · Newest first

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DevConnect Meetup

2025-06-10 · Data + AI Summit 2025

talk

with Jonathan Hsieh (LanceDB) , Cathy Yin (Databricks) , Andrew Shieh (Databricks) , Ziyi Yang (Databricks) , Andy Konwinski (Databricks) , Denny Lee (Databricks) , Asfandyar Qureshi (Databricks) , Yuki Watanabe (Databricks) , Brandon Cui (Databricks) , Andrew Drozdov (Databricks) , Anand Kannappan (Patronus AI) , Harsh Panchal (Databricks) , Tomu Hirata (Databricks) , Daya Khudia (Databricks) , Jose Javier Gonzalez (Databricks) , Jasmine Collins (Databricks) , MAHESWARAN SATHIAMOORTHY (Bespoke Labs) , Jonathan Chang (Databricks) , Matei Zaharia (Databricks) , Alexander Trott (Databricks) , Tejas Sundaresan (Databricks) , Pallavi Koppol (Databricks) , Jonathan Frankle (Databricks) , Erich Elsen (Databricks) , Ivan Zhou (Databricks) , Davis Blalock , Gayathri Murali (META)

https://bit.ly/devconnectdais

Learning Spark

2015-02-17 · O'Reilly Data Engineering Books O'Reilly Amazon

book

with Andy Konwinski (Databricks) , Holden Karau (Fight Health Insurance) , Matei Zaharia (Databricks) , Patrick Wendell (Databricks)

data data-engineering apache-spark Analytics API Data Analytics

Data in all domains is getting bigger. How can you work with it efficiently? Recently updated for Spark 1.3, this book introduces Apache Spark, the open source cluster computing system that makes data analytics fast to write and fast to run. With Spark, you can tackle big datasets quickly through simple APIs in Python, Java, and Scala. This edition includes new information on Spark SQL, Spark Streaming, setup, and Maven coordinates.