Key features
- Uses the lakehouse platform concept: Metadata, Chaching, Indexing along with ETL do the job of a traditional data lake and data-warehouse.
- Things Databricks can do:Data Science/ML, Data Streaming, Data Engineering, Data Warehousing, BI, Data Governance, Interoperability & Usability, Performance Efficiency
Things to study
Unity catalog (access permissions), Delta table, Detla sharing, sharing with another Databricks user vs. a non-user, serverless SQL, connecting to external data sources.