Tasks for databases

Today’s large enterprise databases often support very complex queries, and they are expected to provide nearly instantaneous responses to them. As a result, database administrators are forced to use a variety of techniques to improve performance. Here are some of the most common challenges they face.

• Significantly increased data volumes. The rapid growth of data from sensors, connected appliances and dozens of other sources is forcing administrators to look for ways to effectively manage and organize their companies’ data.Ensuring data security. These days, data breaches happen regularly and hackers are getting more resourceful. Now more than ever, it’s important to ensure that data is protected, but also easily accessible to users.
• Meeting growing needs. In today’s dynamic business environment, companies need real-time access to data – to make timely decisions and take advantage of new opportunities.
• Manage and maintain the database and infrastructure. Database administrators must constantly monitor the database for problems, perform preventive maintenance, and install software updates and patches. But databases are becoming increasingly complex, data volumes are growing, and companies are faced with the need to hire additional specialists to monitor and configure databases.
• Eliminate the boundaries of scalability. If a business wants to survive, it must evolve, and data management capabilities must grow with it. But it is very difficult for database administrators to predict what capacity a company will need, especially when using local databases.
• Compliance with data placement, data sovereignty and latency requirements. For some companies, it’s preferable for databases to run in a local environment. In such cases, off-the-shelf systems configured and optimized to host databases are ideal.

All of these tasks can be time-consuming and distract database administrators from strategic tasks.
How Offline Technology Improves Database Management.

Standalone databases are a model of the future that is of exceptional interest to companies that want to use the best database technology available, while not having to face the challenges of launching and operating that technology.

Standalone databases use cloud technology and machine learning to automate a host of standard database management tasks, such as setup, protection, backups, upgrades, and other routine administration tasks. By automating this routine, database administrators can focus on more strategic work. The self-management, self-protection, and self-healing capabilities of autonomous databases can radically change the way data is managed and protected, improving efficiency, reducing costs, and improving security.
The future of databases and autonomous databases

The first autonomous database was announced in late 2017, and many independent industry analysts were quick to assess the capabilities of this technology and its potential impact on data processing.