Before going into the key features of the ETL tool for AWS and how is it optimized for database migration, it is necessary to understand the two components separately – AWS and the ETL tool.
AWS or Amazon Web Service is a cloud-based high-powered computing platform. Among the primary services provided by AWS are fully-managed Software-as-a-Service (SaaS), Infrastructure-as-a-Service (IaaS), and Platform-as-a-Service (PaaS). Along with these aspects, AWS also optimizes database migration between data warehouses, relational databases, and NoSQL databases with the ETL tool for AWS.
Click here for more information about the ETL tool for AWS.
Now, coming to ETL the other part of the ETL tool for AWS, it is short for Extract, Transform, and Load. It is a highly maximized tool that helps to combine several databases or data warehouses into a simple centralized data storage repository.
The database migration process with the ETL tool for AWS takes place over three stages. First, the data is extracted from the source database. In the second step, this data is processed and formatted so that its structure matches one that is supported by the target database. The final stage of the task of this tool is to load the formatted data into the intended database.
Let’s now check the various positives of the ETL tool for AWS and why it is preferred by organizations for database migration.
Benefits of the ETL tool for AWS
· Fully automated tool: Manual processes are not only very time-consuming and costly but also prone to human errors. With the automated ETL tool for AWS, the chance for errors during database migration is eliminated.
Time for migration is reduced too as petabytes of data can be migrated in a very short time, helping to carry out data analysis in real-time. Moreover, as human intervention is not required at any stage, the costs of training the required manpower for migration are avoided.
Finally, since the ETL tool for AWS is automated users are assured of data consistency and reliability.
· Enhanced database migration performance: The ETL tool ensures better performance of the database migration process. This includes databases running on EC2 to RDS or vice versa, on-premises databases to Amazon RDS or Amazon EC2, and Aurora. Migration can also be done between text-based data and NoSQL databases.
· User-friendly: The ETL tool for AWS is user-friendly and is handled easily by DBAs. There is no need to install additional applications and drivers and configure them or make any changes to the source database as the migration activity is started directly from the AWS Management Console. Further, even after the database migration is completed, the tool makes sure that all subsequent changes and updates to the data in the source database are replicated through the Change Data Capture feature to the target database.
These are some of the cutting-edge benefits of the ETL tool for AWS.
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ETL testing is one of the software testings.
Software testing is defined as the testing which is conducted to make sure that the actual results match the expected results without any defects.
ETL testing is a type of testing performed to ensure that the data migrated from source to destination database is accurate and it has followed the valid transformation rules.
ETL testing is a multi-level, data-centric process.
It uses complex SQL queries to access, extract, transform and load millions of records contained in various source systems into a target data warehouse.
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