Course · Intermediate
Production Database Tools
Modern data engineering requires more than just SQL databases. As you move from development to production systems, you'll encounter cloud data warehouses that scale automatically, NoSQL databases that handle billions of rapidly changing events, and document stores that adapt to evolving schemas without migrations. This course gives you hands-on experience with the production database tools that companies like Capital One, Netflix, and Uber rely on daily. You'll learn when to choose SQL versus NoSQL, how to work with Snowflake's separated storage and compute architecture, and how to build flexible data systems with MongoDB that handle real-world complexity.
- Intermediate friendly
- 6 hrs
- 3 lessons
- Premium
Course overview
Move beyond traditional SQL by working with Snowflake and NoSQL databases to design scalable, production-ready data systems.
What's inside
3 lessons
- 01 120 minIntroduction to Snowflake
Get hands-on with Snowflake. Learn how to load data, run SQL queries, manage warehouses, and monitor usage in this cloud data tutorial.
- 02 120 minIntroduction to NoSQL: What It Is and Why You Need It
Discover what NoSQL is, its four main types, and when to use it. Learn how companies like Netflix use NoSQL and get hands-on with MongoDB.
- 03 120 minHands-On NoSQL with MongoDB: From Theory to Practice
Learn MongoDB by building a flexible review system, handling schema changes without migrations, and connecting data to analytics pipelines.
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