AWS Glue is a fully managed extract, transform, and load (ETL) service that makes it easy for users to prepare and load their data for analytics. With just a few clicks in the AWS Management Console, users can create a data source, define its data structure, and construct an ETL job that extracts the data, transforms it, and loads it into an analytics data store.
AWS Glue makes it simple to move data between databases and data lakes, as well as between cloud services and on-premises resources. It works across a range of sources and destinations, including both open source and commercial databases, NoSQL technologies, Amazon S3, Amazon Redshift, Amazon RDS, and other big data systems.
Unlike traditional ETL solutions, AWS Glue implements a scatter-gather approach to creating and running jobs. This means that it can pull data from any number of sources, process the data in different ways depending on the requirements of the job, and then write the results to one or more destinations. This makes it ideal for organizations that need to quickly and efficiently move large amounts of data between multiple data sources.
In addition to its ETL capabilities, AWS Glue also provides a Data Catalog that stores the structure and other metadata about the data sources and targets. This makes it easier for users to find, understand, and organize their data. Moreover, it allows users to search for specific data elements and apply common transformations without having to manually write code.
AWS Glue simplifies the process of building data pipelines and helps users get their data into the format required for analytics faster and more reliably. By using a scalable, serverless platform, it also offers cost savings over traditional ETL solutions.
