Join discussions on data engineering best practices, architectures, and optimization strategies within the Databricks Community. Exchange insights and solutions with fellow data engineers.
At my company we use conda-pack to make certain packages available on the spark executors. Is there a better a better alternative to get away from creating a new environment and pack it every time I need a new python lib to be available for the executors?
databricks provides library installation in the form of PyPi packages, or wheel/egg.
If you install the packages like that on the cluster, they are automatically sent to all executors.
Connect with Databricks Users in Your Area
Join a Regional User Group to connect with local Databricks users. Events will be happening in your city, and you won’t want to miss the chance to attend and share knowledge.
If there isn’t a group near you, start one and help create a community that brings people together.
