Introduction to Modern Data Engineering Part 3: Data Transformations in Snowflake!
Welcome to Part 3 of 5: Data Transformations in Snowflake! In part 3, you'll perform data transformations using SQL or Snowpark for Python. Learners also understand that they can use Snowpark to perform data transformations with Java and Scala. They also extend their knowledge of data transformations by learning about, creating, and using user-defined functions (UDFs), stored procedures, streams, and Snowflake Dynamic Tables. They also learn how to perform data transformations using these tools outside of Snowflake, specifically in Visual Studio Code using Snowflake's official extension.
Objectives
After completing this course, you will be able to:
- •Know data transformations including with SQL and Snowpark.
- •How to perform computations with user-defined functions.
- •Identify effective and automatic data translation, and data transformation best practices.
Audience
- •Technical Sales
- •Consultants
Learning Tracks
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