The Next Generation of the Cloud Storage-Oracle Autonomous Database
By: Pasindu Ukwatta
Tags: Software Engineering, Data Science, Software Development

Photo by Christina Morillo from Pexels

“ We can provide a secure, performant and enterprise-grade stack from the infrastructure through the database with an autonomous database to the applications and embedded AI in those applications and the analytics.”

(Safra Catz , CEO Oracle Corporation)

The cloud Database that uses a machine learning approach for database tuning, updates, backups and other routine tasks performed automatically which done manually by the Database Administrators. Modern-day Database Administrators have work with the huge amount of data with usage incrementing of social media. Every day Terabytes of data add into the databases. So the maintaining and updating the database is a bit time-consuming task.

Business Applications are using most of the databases in the world. So the security of the database, less downtime, high performance, doing CRUD (Create, Read, Update, Delete) easily, and creating reports are the main tasks of the databases. With the use of the Oracle Autonomous Databases, these tasks become more easy and accurate. Server-less or the Dedicated are the two deployment ways that can use for the Autonomous Databases.

Attributes of the Autonomous Databases

*Self-Driving

Management, Monitoring, Tuning process are automated. But the main tasks like managing the connected applications to the databases, connecting developers to the database should be done by the DBA.

*Self-Securing

All the patches and updates in the are automatically done by the Oracle

*Self-Repairing

Less downtime with unplanned maintenance and patching databases. Repairing the database done automatically.

Oracle Autonomous Database has two Main Component. User should select the suitable type of the database According to his need.

Autonomous Data Warehouse(ADW)

Oracle Autonomous Data Warehouse's main use for data warehousing. Datamarts, Data Lakes, and Machine learning is also used ADW. The storage of the Database and the Number of CPUs in the Database can be easily scaled up or down without downtime.

This uses the columnar data format. This service is available in Oracle Cloud Infrastructure and the Exadata cloud@ customer. This helps to load the data and then querying the data using the built-in web-based tools.

ADW can use for Business Analytics by using web-based notebooks and Oracle ML (Machine Learning) which are inbuilt in the ADW. The administration of the database can be done through the browser-based Service Console. Oracle SQL Developer, Oracle Golden Gate, Oracle Object Storage are some tools used in the ADW.

Autonomous Transaction Processing(ATP)

This is a self-driven, self-securing, self-repairing database that can scale to meet the mission-critical Applications Requirements. This use for Transactions, Batch Processing, Replications, IOT Applications Developments. This uses a row data format. The schema of the database is arranged automatically by the database according to the data inserted.

when the load of the data changes, the database adjusts according to the available data. The online availability of the databases has consisted of the latest updates and patches.

The data in the database is Encrypted. The Wallet file (The zip file which has the important information for crating connection with the database) will ensure the security of the database.

Conclusion

Enterprises are always like to take a competitive edge advantage over others. So the capabilities of the Oracle Autonomous Database will help to take that advantage.

Having a strong understanding of Oracle Autonomous Database is key to work with better performance. This article has explored Oracle Autonomous Database that I hope will assist you in completing your work more accurately.

I’d like to thank you for reading my article, I hope to write more articles on New Trending Topics in the future to keep an eye on my account if you liked what you read today!