How To Use AWS Glue ETL

Follow the steps mentioned below to use AWS Glue ETL

1. Create and Attach An IAM Role for Your ETL Job

Identity and Access Management (IAM) manages Amazon Web Services (AWS) users and their access to AWS accounts and services. It controls the level of access a user can have over an AWS account & sets users, grants permission, and allows a user to use different features of an AWS account.

2. Create a crawler

AWS Glue’s main job was to create a data catalog from the data it had collected from the different data sources. Crawler is the best program used to discover the data automatically and it will index the data source which can be further used by the AWS Glue.

3. Create a job

Create a job in AWS Glue to create a job follow the steps mentioned below.

Open AWS console and navigate to the AWS glue and click on the create job.
Make all the configuration required for the job and click on the create job.

4. Run your job

After creating the job select the job that you want to run and Click Run job.

5. Monitor your job

You can monitor the progress of the job in AWS Glue console.

Introduction To AWS Glue ETL

The Extract, Transform, Load(ETL) process has been designed specifically for the purpose of transferring data from its source database to the data warehouse. However, the challenges and complexities of ETL can make it hard to implement them successfully for all our enterprise data. For this reason, Amazon has introduced AWS Glue.

AWS Glue is a fully managed ETL(Extract, Transform, and Load) service that makes it simple and cost-effective to categorize our data, clean it, enrich it, and move it reliably between various data stores. It consists of a central metadata repository known as the AWS Glue data catalog an ETL engine that automatically generates Python code and a flexible scheduler that handles dependency resolution job monitoring. AWS Glue is serverless which means that there is no infrastructure to set or manage a setup.