Cloud Data Warehouses & MPP — Data Warehousing

Learn Cloud Data Warehouses & MPP — part of the Data Warehousing course. This lesson covers Why warehouses moved to the cloud, shared-nothing parallelism, Separation of compute & storage, Snowflake, BigQuery, Redshift, Synapse, distribution & partition keys, Columnar storage & compression, Clustering, sort keys & micro-partitions / zone maps, Materialized views & result caching, Star-schema join optimization & partition pruning, and before - after case study. Presented as a video-first, node-graph lesson: an interactive scene on the left and an authored slide on the right, with narrated walkthroughs. CHAPTERS 0:00 Why warehouses moved to the cloud 1:52 MPP architecture — shared-nothing parallelism 3:41 Separation of compute & storage 5:31 The platforms — Snowflake, BigQuery, Redshift, Synapse 7:30 Data distribution — distribution & partition keys 9:28 Columnar storage & compression 11:26 Clustering, sort keys & micro-partitions / zone maps 13:29 Materialized views & result caching 15:26 Star-schema join optimization & partition pruning 17:23 Query best practices — before - after case study #DataWarehousing #Cloud #Data #Warehouses #MPP #DataEngineering #DataModeling #SQL #GraphL