Postgres extension for Parquet and Iceberg: pg_lake
Details
We're excited to co-host and event with Kansas City Data Professionals!
See link and RSVP here: https://luma.com/7jxz3vkp
pg_lake: Unifying transactional and analytical data with Postgres
Speaker: Elizabeth Christensen
Event Overview
The data world used to be defined by “transactional" (OLTP) and “analytical” (OLAP) workloads but we’ve asked ourselves “Why not both?”. A new series of extensions called pg_lake has just been released to connect Postgres to object storage and open table formats - like csv, Parquet, and Iceberg. pg_lake bridges the two worlds of transactional and analytical data for a vendor neutral, open source, unified data stack.
This talk will explore the pg_lake extension, including how to build it, and demos of using it with modern data workloads in object storage like Amazon s3. We’ll create simple data pipelines with no ETL and high performance analytics.
pg_lake is more than just an extension. It is the foundation to a fully unified data path with 100% open source tools backed by PostgreSQL, DuckDB, Iceberg, and Polaris.
Agenda
- 5:30 - 5:45 - Arrival & Open Networking
- 5:45 - 6:25 - Presentation
- 6:25 - 7:00 - Open Networking
Hosts
* David Traynham - David is a Kansas City based data engineering leader and organizer of the Kansas City Data Professionals community.
* Melanie Traynham, MSN, RN - Melanie is a Kansas City based clinical data strategist and healthcare informatics leader and organizer of Kansas City Data Professionals community.
* Matthew Copple - Matthew is a Kansas City based data and analytics engineer and organizer of the Kansas City Data Professionals community.
