Autonomous branded cloud services enable businesses and organizations of all types of access to recent resources in the realm of science fiction, or at least on the border: ready-time analytics that are perfectly visualized from heterogeneous data sources are made in end-to-end supermarket environments for example. Or the absolute combination of high performance in large data areas, while ensuring increasingly stringent security requirements and self-maintenance and repair functions.
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To complement the data warehouse with autonomous features, the various causes of headaches in IT companies are clearly moving towards a no-brainer. This includes, for example, new sophisticated hardware components that previously meant not only frowning in the finance department, but also considerable skills in operation and maintenance for administrators. Or again, IT is an obstacle to analysis requests from various business fields, which can be managed there the simplest, but should be available yesterday. And, and and.
What is done by Autonomy Database or Data Warehouse? Cloud-based, first mentioned features of self-driving, self-secure, and self-repairing, which represent significant relief from on-premise systems. It is they who basically form "Autonomy". Cloud services, for example, prevent preventive congestion and optimize the appropriate process itself. Machine learning (ML) and artificial intelligence (AI) are integrated and used systematically. At the same time, this means far less effort because adjustments do not require expensive external expertise.
A real example of the deployment of the Oracle Cloud Service Autonomous Database is the successful practice of the large Australian National Pharmacy.
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Oracle Autonomous Data Warehouse is at the forefront of cloud services that will be built based on the next generation Autonomous Cloud Oracle database technology that is managed by itself. With KI, this service provides very flexible reliability, performance and data management. This enables the sending of data warehouses in a short time, and together with other benefits, reduces costs, reduces risk, accelerates innovation, and provides predictive analysis.
The success of a business increasingly depends on evaluating the latest data in such a way that the answers to the main business strategy questions are immediately available. Flexible responses to internal and external changes are also important. Obtaining, securing and expanding practical competitive advantage is only possible with the help of autonomous databases and related technologies.
