Describe the 'Self-Driving Database'. How can it impact the future?

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 The Relational Database of the Future: The Self-Driving Database

Relational databases have grown better, quicker, stronger, and easier to deal with throughout time. They have, however, become more complicated, and maintaining the database has long been a full-time job. Instead of focusing on designing creative applications that provide value to the company, developers have had to spend the majority of their time on the administrative activities required to improve database performance.

Today, autonomous technology is leveraging the relational model's capabilities to create a new form of a relational database. The self-driving database (also known as the autonomous database) retains the power and benefits of the relational model while employing artificial intelligence (AI), machine learning, and automation to monitor and enhance query performance and administration duties. To increase query speed, for example, the self-driving database may hypothesize and test indexes to make queries quicker, and then automatically put the best ones into production. These enhancements are made regularly by the self-driving database, with no human intervention required.

Developers have been freed from the boring responsibilities of database management thanks to autonomous technology. For example, they no longer need to plan ahead of time for infrastructure requirements. Instead, they may increase storage and computing resources as needed to accommodate database expansion using a self-driving database. Developers may simply establish an independent relational database in a few clicks, reducing the time required for application development.



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