Snowflake - Build and Architect Data Pipelines Using AWS - Lab - Parameterize Your Python Script on AWS Glue

This video tutorial demonstrates how to use parameters in AWS Glue jobs. It covers the use of the 'get result options' function from the AWS UTILS library to pass parameters like 'supply key' and 'ship date'. The tutorial explains how to incorporate these parameters into SQL queries and provides guidance on running and debugging Glue jobs. It also addresses common UI issues and concludes with a preview of the next video, which will focus on using pandas with Glue.

What is the purpose of using parameters in an AWS Glue job?

• To simplify the job's code

• To reduce the job's execution time

• To allow dynamic input values

• To enhance the job's performance

Which function from the AWS UTILS library is used to handle parameters in a Glue job?

• retrieve values

• get result options

• load parameters

• fetch parameters

How are parameters accessed within a Glue job?

• Using a dictionary-like structure

• As environment variables

• Via command line arguments

• Through a configuration file

What happens if parameters are not passed when running a Glue job?

• The job will run with default values

• The job will fail

• The job will skip the parameterized steps

• The job will prompt for input

What is a common UI issue mentioned when running Glue jobs?

• Jobs not saving changes

• Jobs taking too long to execute

• Jobs showing incorrect status

• Jobs not starting