Snowflake Core Workflow B — Data Transformation Overview Build ELT pipelines using streams (change data capture), tasks (scheduling), and dynamic tables (declarative transforms). Prerequisites - Data loaded into Snowflake (via ) - Understanding of ELT vs ETL patterns - Role with , privileges Instructions Step 1: Create a Stream for Change Data Capture Step 2: Create a Task to Process Stream Data Step 3: Build a Task DAG (Directed Acyclic Graph) Step 4: Dynamic Tables (Declarative Alternative) Step 5: Monitor Pipelines Error Handling | Error | Cause | Solution | |-------|-------|----------| |…