Features of the Amazon Web Service ETL Tool

The AWS (Amazon Web Service) is a cloud-based platform that offers a wide range of services like unlimited storage facilities, high computing capabilities, and content delivery. All these are kept in separate silos thereby making it easy for businesses to accurately know the costs of maintaining each service. However, a critical service is enabling database migration between relational databases, data warehouses, NoSQL databases, on-premises databases to the cloud, and from one cloud provider to another. The most optimized process for carrying out database migrations is with the AWS ETL tool.

ETL is short for Extract, Transform, Load with the tool being primarily used to combine multiple databases into a data warehouse or a centralized data repository. AWS ETL has three functions – extracting data from the source database, transforming the data into a structure that matches the architecture of the target database, and finally, loading the data into the intended database. The process leads to high performance and cost savings and is not susceptible to errors or data loss as it is fully automated, not requiring human intervention at any stage.

Why is AWS ETL tool so important for database migration?

It is because of the several advantages that the tool brings to the table. Given here are a few of them.

· Manual migration of data often results in data loss and errors even though it might be very minimal. This possibility is eliminated when the fully-automated AWS ETL tool is used.

· The tool helps to load data in minutes and is a big help when real-time analytics is required. This is against manual data loading where migrating petabytes of data can be very time-consuming and inconvenient.

· With AWS ETL, there is no need to install and configure additional applications or drivers when migrating databases. Changes to the source database are also not required as migration is initiated directly from the AWS Management Console. All changes at the source database are replicated effortlessly to the target database through the Change Data Capture feature.

· AWS ETL continually updates all changes made in the source database to the target database provided the two are permanently kept in sync. The benefit of the tool is that the source database is always fully functional during migration and this is a big advantage to large data-driven organizations for whom downtime even for brief periods can upset operating schedules.

These are some of the reasons why AWS ETL is preferred by businesses for database migration.

What is the most optimized tool for database migration with AWS ETL?

It is AWS Glue, a fully-managed platform that automatically discovers data and stores the connected metadata in the AWS Glue Catalog. Once this is done, the data can be searched instantly with AWS ETL. All that is required to be done is to point the tool where the data is stored after configuring AWS Glue.