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Michael Driscoll
Co-Founder and CEO at Rill Data
Michael Driscoll is the Co-Founder and CEO of Rill Data, a company focused on providing data-lake-native business intelligence solutions that facilitate the creation of fast, exploratory dashboards. He has been in this role since February 2020 and is based in the San Francisco Bay Area.1
Driscoll has a rich background in technology and entrepreneurship, having co-founded several companies and served in various leadership positions. He was also a founding partner at Data Collective, a venture fund that supports entrepreneurs in the big data and IT infrastructure sectors, which has raised over $1 billion in capital.1
Before his current role, Driscoll was the General Manager at Metamarkets, a SaaS analytics platform acquired by Snap Inc. He played a crucial role in building a real-time analytics stack that processed vast amounts of data, leveraging technologies such as Kafka and Spark.1 His academic credentials include a Ph.D. in Bioinformatics and Systems Biology from Boston University and an A.B. in Government from Harvard University.1
Highlights
Full transcript is here: https://t.co/R6sfBAZCzT (You'll also find links to previous interviews from the Data Talks on the Rocks series featuring Vercel founder @rauchg, Tabular creator Ryan Blue, Pinecone founder @EdoLiberty, Modal founder @bernhardsson Bernhardsson, and Looker creator @lloydtabb ).
Everything you ever wanted to know about @ClickHouseDB but were afraid to ask... I interviewed the creator and CTO of ClickHouse, Alexey Milovidov and we discuss:
• Why AI companies like OpenAI are adopting ClickHouse • How its architecture has evolved since 2009 • How ClickHouse leverages Bayesian statistics for kernel instruction set optimization • Where ClickHouse positions itself in the data landscape (@lancedb, @Minio , Iceberg) • What Alexey thinks about other OLAP database technologies (spoiler alert: he was complimentary) • ClickHouse features like vector data types, hyperloglog / data sketches, replacing ZooKeeper with ClickKeeper, writing a @ApacheCalcite-like query optimizer / analyzer from scratch • How ClickHouse Cloud balances the needs of its paying customers and 1000s of open source community members
... and much, much more. The link to the interview and full transcript is in the replies.
