PySpark and AWS: Master Big Data with PySpark and AWS - Writing Glue Shell Job

The video tutorial covers setting up a Glue job by merging imports from a Databricks notebook, creating a Spark session, and configuring S3 bucket paths. It explains the importance of managing S3 buckets to prevent unwanted Lambda function triggers. The tutorial also details the code logic for processing data and writing outputs, emphasizing the use of dynamic file paths. Finally, it concludes with a brief overview of the next steps, including spinning up TMS and RDS to replicate the pipeline.

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