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Book Overview & Buying
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Table Of Contents
SnowPro Core Certification Study Guide
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The chapter discussed how Snowflake manages semi-structured and unstructured data. We began with semi-structured data, utilizing the VARIANT data type to handle formats such as JSON and XML. We explored Snowflake’s native data types, VARIANT, OBJECT, and ARRAY, and the FLATTEN function for converting nested data into a relational format.
The chapter then explored unstructured data, including files such as images and videos stored in cloud storage. You reviewed various URL types—scoped URLs, file URLs, and pre-signed URLs—for secure file access and discussed essential Snowflake file functions. An example showed how to use Snowflake UDFs with Python to count PDF pages.
Next, we covered using directory tables to manage and interact with data files on a stage. These tables provide file-level metadata and support querying and processing files without granting stage access. We also covered creating and using directory tables and extending UDFs to handle...