ABOUT THE TALK: Over the last decade I have been lucky enough to contribute a few successful open source projects to the data ecosystem. In this talk

Julien Le Dem shares the story of his contribution to successful open source projects to the data ecosystem and what made their success possible. From the ideation process and early growth of the Apache Parquet columnar format and how this led to the creation of its in-memory alter-ego Apache Arrow. Julian will end with showing how this experience enabled the success of OpenLineage, an LFAI & Data project that brings observability to the data ecosystem.

ABOUT THE SPEAKER: Julien Le Dem is the Chief Architect of Astronomer and Co-Founder of Datakin. He co-created Apache Parquet and is involved in several open source projects including OpenLineage, Marquez (LFAI&Data), Apache Arrow, Apache Iceberg and a few others. Previously, he was a senior principal at Wework; principal architect at Dremio; and tech lead for Twitter’s data processing tools and principal engineer working on content platforms at Yahoo, where he received his Hadoop initiation.

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ABOUT THE TALK: At Lyft, Mark Grover built the Amundsen data catalog so data scientists could navigate hundreds of thousands of tables to distinguish trustworthy data from sandboxed, out-of-date data. When he took Amundsen open source, he helped dozens of data teams support a variety of demands to make data discoverable and self-serve. Mark frequently sees processes that seem “good enough” come back to bite data teams. In this talk, Mark takes us deep into query logs and APIs to see where all of that metadata lives, and he'll demonstrate how to use it so you don’t lose any fingers during your next data change.

ABOUT THE SPEAKER: Mark Grover is the co-founder/CEO of Stemma - a modern data catalog for building self-serve data culture used by Grafana, iRobot, SoFi, Convoy and many others. He is the co-creator of the leading open-source data catalog, Amundsen, used by Lyft, Instacart, Square, ING, Snap and many more! ​Mark was previously a developer on Apache Spark at Cloudera and is a committer and PMC member on a few open-source Apache project. He is a co-author of Hadoop Application Architectures.

ABOUT DATA COUNCIL: Data Council (https://www.datacouncil.ai/) is a community and conference series that provides data professionals with the learning and networking opportunities they need to grow their careers.

Make sure to subscribe to our channel for the most up-to-date talks from technical professionals on data related topics including data infrastructure, data engineering, ML systems, analytics and AI from top startups and tech companies.

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