Databricks Lakehouse
Databricks is a unified analytics platform combining data lake + data warehouse. Delta Lake adds ACID transactions, schema enforcement, time travel to Parquet files. Databricks handles Spark orchestration, simplifying big-data jobs. Senior practitioners earn 20-25% premium because they ship lakehouse systems serving 1000+ analysts and processing petabytes. Learning: 8-12 weeks (requires Spark + SQL + architecture knowledge).
Qu’est-ce que Databricks Lakehouse
Databricks is a unified analytics platform combining the best of data lakes and data warehouses. Built on Delta Lake (ACID transactions for Parquet files) and Apache Spark (distributed computing), Databricks lets teams build data pipelines, run analytics, and train ML models in one platform. Example: Ingest raw data to S3 (via Spark job) → Store in Delta Lake table → dbt transforms for analytics → BI tools query Databricks SQL → Data scientists train models on Databricks MLflow.
📋 Avant de commencer
💰 Salaire par région
| Région | Junior | Confirmé | Senior |
|---|---|---|---|
| USA | $90k | $160k | $250k |
| UK | $55k | $98k | $155k |
| EU | $62k | $105k | $165k |
| CANADA | $85k | $155k | $240k |
🎓 Certifications
🎯 Métiers qui utilisent Databricks Lakehouse
❓ FAQ
What's the difference between Databricks and Snowflake?
What's Delta Lake?
Why use Databricks instead of raw Spark?
How do I ensure data quality in Databricks?
Can I mix SQL and Python in Databricks?
Vous doutez que cette compétence soit faite pour vous ?
Passez le Career Match — nous vous suggérerons les bonnes pistes.
Trouver mes compétences idéales →Trouvez votre voie professionnelle
Correspondance par compétences parmi 2 536 métiers. Gratuit, ~2 minutes.
Passer le Career Match — gratuit →