OLake by Datazip invites you to their event
About this event
Webinar Overview
Apache Iceberg has quickly become the backbone of modern data lakes, but maintaining tables efficiently is just as critical as building them. This session dives into the art of Iceberg table maintenance, from compaction strategies to metadata cleanup, with a focus on balancing query performance and compute cost. Attendees will walk away with actionable strategies and best practices to keep their Iceberg tables lean, fast, and future-proof.
Who Should Attend
Webinar Agenda
Hosted by
Amit Gilad, a Data Engineer who's been actively working with Apache Iceberg and data lakes. Currently leading data engineering in stealth, he previously worked as a data engineer at Cloudinary. He has hands-on experience with EMR, Athena, and Spark, and recently shared insights about Iceberg implementations without Spark at the Chill Data Summit.
Harsha is a user-first GTM specialist at Datazip, transforming early-stage startups from zero to one. With a knack for technical market strategy and a startup enthusiast's mindset, she bridges the gap between innovative solutions and meaningful market adoption.
Developer Advocate at Datazip, helping engineers and contributors adopt open lakehouse technologies. I manage our contributor community and showcase how OLake delivers the fastest data replication framework to teams building at scale.
OLake is an open-source data ingestion tool available on GitHub, developed by Datazip, Inc. Its primary function is to replicate data from transactional databases and streaming platforms (like PostgreSQL, MySQL, MongoDB, Oracle, and Kafka) into open data lakehouse formats, like Apache Iceberg.
