Analyze Semi-structured Data in Snowflake
Offered By: Pluralsight
Course Description
Overview
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.
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.
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.
Syllabus
- Course Overview 1min
- Loading and Querying Semi-structured Data 18mins
Taught by
Warner Chaves
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