Asked by: Xulian Delbrugge
technology and computing data storage and warehousing

What is a glue job?

Last Updated: 28th January, 2020

A job is the business logic that performs the extract, transform, and load (ETL) work in AWS Glue. When you start a job, AWS Glue runs a script that extracts data from sources, transforms the data, and loads it into targets. You can create jobs in the ETL section of the AWS Glue console.

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Hereof, can be set in AWS glue?

AWS Glue is serverless, so there's no infrastructure to set up or manage. You can also use the AWS Glue API operations to interface with AWS Glue services. Edit, debug, and test your Python or Scala Apache Spark ETL code using a familiar development environment.

what is AWS glue? AWS Glue is a cloud service that prepares data for analysis through automated extract, transform and load (ETL) processes. Glue also supports MySQL, Oracle, Microsoft SQL Server and PostgreSQL databases that run on Amazon Elastic Compute Cloud (EC2) instances in an Amazon Virtual Private Cloud.

Additionally, how does AWS glue work?

AWS Glue automatically discovers and profiles your data via the Glue Data Catalog, recommends and generates ETL code to transform your source data into target schemas, and runs the ETL jobs on a fully managed, scale-out Apache Spark environment to load your data into its destination.

Does AWS glue support pandas?

AWS Glue supports two job types: Apache Spark and Python shell. Note: Libraries and extension modules for Spark jobs must be written in Python. Libraries such as pandas, which is written in C, are not supported.

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Earlier Updates.
Change Description Date
AWS Glue initial release This is the initial release of the AWS Glue Developer Guide. August 14, 2017