Build a Data Warehouse on Snowflake
Model a small star-schema warehouse in Snowflake, load data with COPY INTO and stages, then build a near-real-time incremental pipeline using Streams and Tasks.
Prerequisites: a Snowflake trial account (Enterprise edition, for ACCOUNTADMIN access), and basic SQL.
Snowflake separates storage from compute: a virtual warehouse is purely a unit of compute you size and suspend independently of your data, which is the mechanic behind most Snowflake cost-control advice. You'll set up a warehouse, database, and schema, load raw data via a stage and COPY INTO, model it into a small star schema, and then build an incremental pipeline using Streams (which track row-level changes to a table) and Tasks (Snowflake's native scheduler) so new data flows through automatically without an external orchestrator.
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