2024/09/10، 09:11 PM
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Snowpark For Data Engineers
Released 9/2024
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch
Skill Level: Intermediate | Genre: eLearning | Language: English + srt | Duration: 1h 51m | Size: 217 MB
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Take a deep dive into Snowpark Python in Snowflake, the library set specifically designed for data engineers and professionals seeking to leverage the capabilities of the Snowflake managed data platform. Join instructor Janani Ravi as she shows how to get up and running with Snowpark, from setting up a Snowflake trial account to writing Snowpark handlers, performing data transformations, and working with both structured and semistructured data. Along the way, explore more advanced concepts such as creating and managing user-defined functions (UDFs), user-defined table functions (UDTFs), and stored procedures, as well as how to install necessary packages, access custom packages, and connect to Snowflake from a Jupyter notebook. By the end of this course, you'll be prepared to start manipulating data frames, performing data engineering tasks, and implementing complex data processing functions within Snowflake.
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Snowpark For Data Engineers
Released 9/2024
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch
Skill Level: Intermediate | Genre: eLearning | Language: English + srt | Duration: 1h 51m | Size: 217 MB
[/center]
Take a deep dive into Snowpark Python in Snowflake, the library set specifically designed for data engineers and professionals seeking to leverage the capabilities of the Snowflake managed data platform. Join instructor Janani Ravi as she shows how to get up and running with Snowpark, from setting up a Snowflake trial account to writing Snowpark handlers, performing data transformations, and working with both structured and semistructured data. Along the way, explore more advanced concepts such as creating and managing user-defined functions (UDFs), user-defined table functions (UDTFs), and stored procedures, as well as how to install necessary packages, access custom packages, and connect to Snowflake from a Jupyter notebook. By the end of this course, you'll be prepared to start manipulating data frames, performing data engineering tasks, and implementing complex data processing functions within Snowflake.
Homepage
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