- Course
Analyze Semi-structured Data in Snowflake
This course introduces Snowflake’s capabilities for working with semi-structured data. These are critical for performing data analysis tasks when working with popular semi-structured formats like JSON.
Intermediate
- Course
Analyze Semi-structured Data in Snowflake
This course introduces Snowflake’s capabilities for working with semi-structured data. These are critical for performing data analysis tasks when working with popular semi-structured formats like JSON.
Intermediate
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This course is included in the libraries shown below:
- Data
What you'll learn
The Snowflake Cloud Data Platform has native capabilities for analyzing semi-structured data.
In this course, Analyze Semi-structured Data in Snowflake, you’ll learn about the platform’s features that help you analyze semi-structured data formats like JSON and parquet.
First, you’ll explore the semi-structured data formats supported by Snowflake.
Next, you’ll discover the different options for loading this data into tables.
Finally, you’ll go through multiple examples of system functions and query styles you can use to extract the information you need from semi-structured data columns.
When you’re finished with this course, you’ll have the skills and knowledge of Snowflake's features needed to analyze semi-structured data.
Analyze Semi-structured Data in Snowflake
Intermediate
Table of contents
Warner is a SQL Server Certified Master, MVP, and Principal Consultant at Pythian. He manages clients in many industries and leads a talented team that maintains and innovates with their data solutions. When he's not working in Ottawa, Ontario, he can be found in his home country of Costa Rica.