Cutting-edge ETL Tools for AWS DMS

 

Businesses today are looking for optimized data warehousing solutions to optimize their database management systems. With organizations being fully data driven now, it is always advisable to migrate databases to advanced platforms like Amazon Web Services (AWS), a cloud provider to fully get the many benefits of it.






However, AWS DMS (Database Migration Service) will only be very successful and efficient if the right tools are used. These are called AWS DMS ETL tools and they help to migrate data from different sources to a single database. ETL tools largely facilitate this process.       

The components of ETL tools are as follows.

·        Extract (E) – Extracting the required data from Heterogeneous or Homogeneous Data sets.

·        Transform (T) – Transforming or modifying the extracted data to match the data structures supported by the target storage database.

·        Load – Migrating data to the target data warehouse or data marts. 

AWS DMS ETL tools make even the most complex and intricate migration process seem easy. Given here are some of the AWS DMS activities that are best done with ETL tools.

·        The biggest benefit of ETL is that it automatically deploys, monitors, and manages all the hardware and software that are needed for migration.

·        Users can scale up or down in computing and storage of migration resources. If more or fewer resources are required AWS DMS ETL tools auto scale up and down. Users have to pay only for the quantum of resources used.

·        With ETL tools, the entire AWS DMS is automated with the infrastructure for the migration being auto-managed including hardware and software tracking, software patching, and error reporting.

Choosing the right ETL tool is therefore critical for AWS DMS.  

                                                                                 

 

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