Snowflake Query Optimization: 7 Tips for Faster Queries
A deep dive into 7 fundamental tips for Snowflake query optimization: pruning, join optimization, clustering, cache, and more for faster queries.
Cut Costs by Querying Snowflake Tables in DuckDB with Apache Arrow
Greybeam's multi-query-engine dream is slowly becoming a reality. Lately, we've been encountering more and more data teams who are looking to offload non-critical workloads to alternative compute engines like
Querying Snowflake Managed Iceberg Tables with DuckDB
Welcome to part two in our series of working with Iceberg tables. If you haven't already setup your Snowflake managed Iceberg tables, be sure to check out part one in our
Getting Started with pyIceberg and AWS Glue
As data teams increasingly adopt Apache Iceberg for their data lake needs, we will begin to see a need for better tooling in the space. At the moment pyIceberg is the go to
How to Get Started with Iceberg Tables in Snowflake
At Greybeam, we're constantly exploring ways to optimize Snowflake, and I'm so thrilled that our journey led us to Iceberg and DuckDB. In this post, we'll cover