Lakehouse build workshop, Sat 5 Dec
One Saturday afternoon, one laptop: build a working lakehouse, from your database to open tables to queries.
In this hands-on workshop, you'll set up a small lakehouse on your own laptop, end to end:
Load a live Postgres or MySQL database (your pick) into open table format with OLake (full load)
Change a row in your database and watch the change replicate to the lakehouse (CDC)
Query the same tables from Spark and Trino, one copy of the data, two engines
Scale it up: sync a TPC-H dataset and compact the tables with OLake Fusion
No Debezium, Kafka or Spark jobs to wire up. You leave with a working setup you can rerun at work.
Who it's for: data engineers at startups and scale-ups who run Postgres or MySQL and are curious about lakehouses. Platform and DevOps engineers are welcome too.
Agenda
2:45 Check-in, Wi-Fi, quick laptop check
3:00 Welcome
3:10 Why a lakehouse: open table formats in 20 minutes
3:30 Hands-on lab with the OLake team (Q&A as we go)
4:30 High tea and networking
Bring: a personal laptop (not a company one, so you can install things; Mac, Linux or Windows), with Docker installed, at least 8 GB RAM (16 GB recommended) and 10 GB free disk. We'll email setup steps to confirmed attendees on 30 Nov.
Seats: 25, in person only. We review applications and confirm by Mon 30 Nov. If you can't make it, please cancel so someone on the waitlist gets your seat.
OLake is open source: datazip-inc/olake