Databricks: The Unified Platform for Data and AI
Databricks unifies your data warehouse and data lake into a single 'Lakehouse' platform. It's used for building ETL pipelines, training ML models, and running BI queries on the same data. The main footgun is cost: its power can lead to surprise bills.
Databricks unifies traditionally separate systems—like data warehouses for BI and data lakes for AI—into a single 'Lakehouse' platform. This lets engineers, scientists, and analysts collaborate on the same data for ETL, machine learning, and business intelligence without costly data movement. The primary footgun is cost management; the power to spin up large compute clusters can lead to budget overruns if not carefully governed.
Read the original → docs.databricks.com
- #data engineering
- #analytics
- #machine learning
- #lakehouse
- #spark
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