This course contains the use of artificial intelligence.Welcome to the Snowflake Data Engineering Preparations Course DEA-C02, a practical and beginner-friendly course designed to help you build strong Snowflake data engineering skills while preparing for the SnowPro Advanced: Data Engineer Certification (DEA-C02).This course is designed for:aspiring data engineersSQL developersETL developerscloud professionalsanalytics engineersstudents preparing for Snowflake certificationsanyone interested in modern cloud data engineeringWhether you are completely new to Snowflake or already have some experience with SQL and data platforms, this course will guide you step-by-step through the core concepts used in real-world Snowflake environments.Throughout this course, you will learn how to work with Snowflake using practical examples, hands-on SQL demonstrations, and simplified explanations of important data engineering concepts.We begin with the fundamentals by creating a Snowflake trial account and exploring the Snowflake user interface, SQL editor, and workspaces. You will learn how to execute SQL queries using both Snowsight and SnowSQL, manage SQL scripts efficiently, and work with query history and result options.From there, we move into one of the most important areas of modern data engineering: data loading and data movement. You will learn:stagesinternal and named stagesfile formatsCOPY INTO commandsdata loading patternsdata unloadingSnowSQL-based ingestionYou will also understand how Snowflake handles structured and semi-structured data and how to manage CSV files and file format configurations properly.The course also covers error handling and validation
What you'll learn
create a Snowflake trial account
navigate the Snowflake user interface
execute SQL queries using Snowsight and SnowSQL
load and unload data
handle structured and semi-structured data
implement data validation and error handling
Course objectives
prepare students for the SnowPro Advanced: Data Engineer Certification
provide a thorough understanding of Snowflake data engineering concepts
enable practical application of SQL in Snowflake environments