Data Analytic Course
HIGHLIGHTS OF A DATA ANALYST PROGRAM WITH SNOWFLAKE FOCUS
SQL FOR SNOWFLAKE:
- Cloud-based architecture (multi-cluster shared data architecture)
- Virtual warehouses, databases, schemas, stages
- Data storage, compute, and services layers
- Time Travel, Cloning, and Zero-Copy Cloning features
WHAT IS FULL STACK DEVELOPMENT?
Writing advanced SQL queries in Snowflake
- Using Common Table Expressions (CTEs), window functions, etc
- Query optimization and performance tuning
- Data Integration & ETL/ELT:
- Loading structured and semi-structured data (JSON, Avro, Parquet)
- Working with tools like dbt (Data build tool)
- Automating data pipelines and transformations in Snowflake
- Data Modeling & Warehousing Concepts
- Star and Snowflake schemas
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