Databricks platform, Delta Lake, Spark, and Unity Catalog — video + notes.
Workspaces, clusters, notebooks, jobs, and how Databricks fits in the Azure data architecture.
Choosing cluster types, autoscaling settings, spot instances, and Spark runtime versions.
What makes Delta Lake different from Parquet, transaction log, time travel, and Z-ordering.
select, filter, groupBy, joins, window functions, and writing to Delta Lake in PySpark.
Metastore setup, three-level namespace (catalog.schema.table), column-level security, and data lineage.