df = sedona.read.format("geojson").option("multiLine", "true").load("PATH/TO/MYFILE.json") .selectExpr("explode(features) as features") # Explode the envelope to get ...

At a time when many enterprise companies have struggled to find growth and valuations have plunged, Databricks continues to prove the exception. In September the company raised $500 million on a ...

A solution accelerator to standardizing, centralizing, and ingesting Databricks cluster logs for enhanced log searching, troubleshooting, and optimization. The goal of this repo is to provide platform ...

Databricks recently reached a valuation exceeding $100 billion following its latest funding round, joining the elite group of most-valuable private companies like SpaceX, ByteDance and OpenAI.