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

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.

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 ...

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Lakebase Databricks Managed PostgreSQL + PostGIS Low-latency serving (14–16ms), interactive maps, feature editing Query + Editing Choose Lakehouse when you need to query large Delta Lake tables ...

Databricks is introducing a security information and event management service called Lakewatch. The privately held company sees an opportunity to challenge mature cybersecurity vendors using ...