PySpark and AWS: Master Big Data with PySpark and AWS - Creating Glue Job

This video tutorial guides viewers through the process of creating and configuring an AWS Glue job. It covers the setup of IAM roles, specifying job details such as type and version, and finalizing the job setup. The tutorial also highlights the differences between running Pyspark jobs in AWS Glue and other environments like Databricks. The video concludes with a brief mention of integrating the Glue job with a Lambda function in a subsequent video.

What is the primary purpose of creating a Glue job in AWS?

What are the necessary configurations required before creating a Glue job?

What role must be created for the Glue job to access S3 buckets?

What permissions are required for the IAM role associated with the Glue job?

What type of job is preferred when creating a Glue job?

What is the minimum number of workers required for a Glue job?

What should be done after creating the Glue job to run a PySpark job?