For those of use who like to learn and experiment, sample data is a must.
In this post, I’m linking to and summarising some sample data sets which are shared with licenses allowing people to use and reuse them with a lot of freedom.
My experience with Snowflake spans several different organizational contexts, it’s power in scaling to meet business data requirements is closely followed by how the costs can similarly scale. This post explores practical strategies to help you reduce your Snowflake costs without sacrificing performance. Starting with general guidance, then dipping into technical strategies including dbt specific packages and approaches.
Yes, the title is clickbait, but the savings are real! The approach can be applied to save money on any cloud data infrastructure. The saving in question applies to regular refreshes, not other data processes (more on that in the future).
An approach for creating a dbt demo project which can be shared and run easily by any developer. From an empty directory, to dbt run in under 5 minutes.
I’ve been using eclipse as an IDE of choice with dbt for a couple of years, here is how I configure it for working with dbt projects.