Semi-structured Data: Loading and Querying JSON & XML Data in Snowflake

Skillsoft issued completion badges are earned based on viewing the percentage required or receiving a passing score when assessment is required. Structured data follows a fixed schema, usually does not contain hierarchical information, and is typically stored in a tabular format. Alternatively, semi-structured data does not adhere to a fixed schema, supports hierarchical information, and offers schema flexibility and standardization. The Snowflake platform offers support for structured and semi-structured data. In this course, learn how to load JSON and XML data in Snowflake tables and examine Snowflake's OBJECT, ARRAY, and VARIANT types. Next, explore data validation, how you can handle source data errors in a load process, and how to query JSON structures in Snowflake. Finally, practice loading and querying XML data, including using Snowflake functions. Upon completion, you'll be able to work with JSON and XML data in Snowflake.