How To Read Parquet Data Using Snowpark | Snowpark Python Tutorial

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This video "How To Read Parquet Data Using Snowpark" is snowpark python tutorial that will help you with hands-on demo and explain how to use DataFrame Reader API to read parquet data file from snowflake name stage location. This video will also explain the limitation with Data Frame Writer API.

🚀🚀 Video Sections 🚀🚀
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➥ 00:59 Reading Single Parquet File To Data Frame
➥ 04:47 Parquet File & Header
➥ 06:30 Reading Multiple Parquet File To Data Frame
➥ 03:49 Create Transient Table Using Write API
➥ 09:16 Query History

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Disclaimer: All snowflake-related learning materials and tutorial videos published in this channel are the personal opinions of the data engineering simplified team and they're neither authorised by nor associated with Snowflake, Inc.
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Thank you, please keep more awesome feature intro videos coming!

dt
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even if it gives max varchar size while table creation, it wont impact as there is no performance and storage issue when varchar is defined with max size, as per snowflake doc

abdullahsiddique