The Top ETL tools that will make your life easier in 2022
Introduction
It is no secret that Extract, Transform, and Load (ETL) tools have been around for quite some time now. In fact, they have been a staple in the data management and business intelligence landscape for quite some time. However, with the ever-changing landscape of data, it is important to keep up with the latest and greatest ETL tools on the market.
The future of ETL will provide a comprehensive and hybrid approach to managing big data. This will include data integration, data governance, data quality, and data security.
In this article, we will take a look at the top ETL tools that are currently on the market. We will also provide a brief overview of each tool, as well as our thoughts on their future.
AWS Glue
AWS Glue is a cloud service that helps you prepare and load your data for analytics. It can crawl your data sources and construct a data catalog using pre-built classifiers. It then automatically generates ETL (extract, transform, and load) scripts that you can use to move your data to the data target of your choice.
AWS Glue is a serverless data integration service that makes it easier to discover, prepare, move, and integrate data from multiple sources for analytics, machine learning (ML), and application development.
Use-cases:
- AWS Glue can run ETL jobs automatically as new data arrives. For example, you can configure AWS Glue to trigger ETL jobs to run as soon as new data becomes available in AWS S3 bucket.
- AWS Data Catalog to quickly discover and search multiple AWS datasets without moving the data. Once the data is cataloged, it is immediately available for search and query using Amazon Athena, Amazon EMR, and Amazon Redshift Spectrum.
- AWS Glue Studio makes it easier to visually create, run, and monitor AWS Glue ETL jobs. You can build ETL jobs that move and transform data using a drag-and-drop editor, and AWS Glue automatically…
