AWS Glue
AWS Glue is used to prepare data from different sources and prepare that data for analytics, machine learning, and application development. It will reduce the manual effort by performing the automation of the jobs like data integration, data transformation, and data loading. AWS glue is a serverless data integration service which makes it more useful for the preparation of the data also the data that has been prepared will be maintained centrally in a catalog which makes it easy to find and understand the data.
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.