Use Cases of AWS Glue
- To build a Data Warehouse to Organize, Cleanse, Validate, and Format Data: We can transform and move AWS cloud data into our data store. We can also load data from different sources into our data warehouse for regular reporting and analysis. By storing it in the warehouse, we integrate information from different parts of our business and form a common source of data for decision-making.
- When we run Serverless Queries against our Amazon S3 Data Link: S3 here means simple storage service. AWS Glue can catalog our simple storage service that is Amazon S3 data making it available for querying with Amazon Athena and Amazon RedShift Spectrum. With crawlers, our metadata stays in synchronization with the underlying data. AWS RedShift Spectrum can access and analyze data through one unified interface without loading it into multiple data.
- Creating Event-driven ETL Pipelines: We can run our ETL jobs as soon as new data becomes available in Amazon S3 by invoking our AWS Glue ETL jobs from an AWS Lambda function. We can also register this new data in the AWS load data catalog as a part of our details.
- To Understand our Data Assets: We can store our data using various AWS services and still maintain a unique, unified view of our data using the AWS Glue data catalog. We can view the data catalog to quickly search and discover the datasets that we own and maintain the relative data in one central location.
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.