A practical introduction to data engineering on the powerful Snowflake cloud data platform.

Data engineers create the pipelines that ingest raw data, transform it, and funnel it to the analysts and professionals who need it. The Snowflake cloud data platform provides a suite of productivity-focused tools and features that simplify building and maintaining data pipelines. In Snowflake Data Engineering, Snowflake Data Superhero Maja Ferle shows you how to get started.

In Snowflake Data Engineering you will learn how to:

• Ingest data into Snowflake from both cloud and local file systems
• Transform data using functions, stored procedures, and SQL
• Orchestrate data pipelines with streams and tasks, and monitor their execution
• Use Snowpark to run Python, Java, and Scala code in your pipelines
• Deploy Snowflake objects and code using continuous integration principles
• Optimize performance and costs when ingesting data into Snowflake

With this practical guide you’ll build the skills you need to create effective data pipelines on the Snowflake platform. You’ll see how Snowflake makes it easy to work with unstructured data, set up continuous ingestion with Snowpipe, and keep your data safe and secure with best-in-class data governance features. Along the way, you’ll practice the most important data engineering tasks as you work through relevant hands-on examples.