Snowflake - Build and Architect Data Pipelines Using AWS - Course Roadmap

This course offers a practical approach to learning Snowflake, covering 12 sections on topics like data warehousing fundamentals, table creation, data loading, tasks, streams, user-defined functions, AWS integration, real-time streaming, and data security. The course emphasizes hands-on learning and will be updated with new sections on stored procedures, data modeling, and Snowpark. Feedback is encouraged to tailor the content to learners' needs.

What are the major components covered in the architecture of Snowflake?

Describe the importance of clustering and partitioning in data warehousing.

What are the different ways to load and ingest data into Snowflake?

Explain the concept of streams and change data capture in data warehousing.

What topics will be covered in the upcoming sections of the course?