Most teams learn Snowflake by trial and error; spinning up warehouses, watching costs climb, and discovering features months too late.
Without understanding how Snowflake actually works, you'll overpay for compute, write slow queries, and miss built-in capabilities that eliminate weeks of custom work.
This masterclass follows Vinay, a data engineer at GlobalMart, as he learns from Rahul, the Senior Architect. Through interactive scenarios with hands-on examples and knowledge checks, you'll see how experienced engineers think about Snowflake.
What You'll Learn:
Architecture & Performance
- Learn why Snowflake separates storage from compute and how micropartitions make queries fast
- Understand Snowflake's hierarchical object model from accounts to schemas to tables and how permissions flow through the hierarchy
- Know when to scale up versus scale out, and how to isolate workloads so one team doesn't slow down another
Cost & Operations
- Understand credit consumption for compute and serverless features
- Learn how storage billing works with Time Travel and Fail-Safe
- Compare Standard, Enterprise, Business Critical, and VPS editions; know which features justify the cost difference
- Move beyond Snowsight, learn when to use command-line tools, APIs, drivers, or connectors
AI & Application Development
- Build AI into your data warehouse using Snowflake Cortex - run sentiment analysis, extract data from PDFs, and create semantic search without external APIs
- Fine-tune models to cut AI costs by 90% while maintaining accuracy
- Create internal monitoring dashboards with Streamlit that run inside Snowflake's security boundary, no external servers, no complex deployments
By the end, you'll understand how Snowflake works, so you can use it effectively, optimize costs, and leverage features you didn't know existed. Test your knowledge throughout with scenario-based questions.
TM
