Oracle Autonomous

Autonomous Analytics and Big Data

• Proactively offers the ideas, detects the hidden templates
• Natural language for requests to data
• Rich visualization on any device

Autonomous Integration

• 50+ preconfigured adapters and processes for integration with CX, HCM and ERP
• Estimates, recommendations and automation on the basis of ML
• Point-and-Click interface
• Intellectual profilings of data, automatic filling of directories and data warehouses

   Autonomous Blockchain Cloud Platform

• The platform of the corporate level, previously collected, protected, scaled and steady
• Expands the existing SaaS or local applications
• A set of ready integration with Oracle SaaS & PaaS

2020: Availability of Oracle Autonomous Database on Exadata Cloud Customer in DPCs

On July 15, 2020 the Oracle company announced availability of the cloud autonomous Oracle database of Autonomous Database on Exadata Cloud Customer in data centers of clients on the Cloud of Oracle at the Client model. Updating integrates the latest version of Oracle Database and the database machine Oracle Exadata Database Machine and is provided as a cloud service in data processing centers of the client. Such model allows to exclude a capital expenditure and need of management of DBMS, providing elastic consumption and payment only for actually used cloud resources of the database. Now Autonomous Database can be started in client DPCs not only as separate service, but also as a part of wider cloud offer of Oracle Dedicated Region Cloud Customer — the private region of a public cloud of Oracle including all cloud services of Oracle and placed in data centers of clients. Read more here.

2019: Oracle Autonomous Database Dedicated simplifies transfer of corporate databases in an autonomous cloud

The Oracle corporation announced in June, 2019 availability of Oracle Autonomous Database Dedicated service. It provides the highest security level, reliability and control for any class of workloads of databases. Thus possibilities of Oracle Autonomous Database for satisfaction of requirements of corporate clients who would like to transfer the majority of the critical workloads to a cloud are expanded. It answers high demand from clients which is confirmed by the fact that more than five thousand new customers started test use of Autonomous Database only in the fourth quarter 2019 financial year.

"The Autonomous Database Dedicated service allows clients to pass easily from managed manually, independent databases, functioning in the local environment to completely autonomous isolated cloud database in a public cloud of Oracle Public Cloud — Juan Loayza told, the executive vice president of Oracle for the Mission-Critical Database Technologies direction — our Autonomous Database Dedicated service solves security concerns, isolation and observance of regulations upon transition to a cloud which earlier many corporate clients had to face".

The Oracle Autonomous Database Dedicated service provides to clients the configured databases in a private cloud working at the selected Exadata infrastructure in Oracle Cloud cloud. It is the ideal platform "databases as service" which allows clients to start databases of any size, scale and criticality. Its unique architecture provides high extent of isolation of workloads, helping to protect each database — both from external threats, and from malicious actions of internal users. The security level and the selected performance can be adapted to requirements of each database easily.

The Oracle Autonomous Database Dedicated service also provides the configured operation parameters. Clients receive bigger control over selection of resources for the database, a software update and level of availability.

The Oracle Autonomous Database Dedicated service is the latest offer in the Oracle Autonomous Database portfolio. The autonomous Oracle database relies on 40 years' experiment of Oracle on support of work of the majority of the most exacting applications in the world. The first-ever autonomous Oracle database of Autonomous Database uses the innovation algorithms of machine learning. With their help possibilities of self-government, selfrecovery and self-defense which automate key management processes and safety of DBMS, such as patching, settings and updates are implemented. At the same time critical infrastructure uninterruptedly functions for providing to clients of the best practices of work with a cloud. Functioning in cloud infrastructure of Oracle Cloud Infrastructure, the autonomous Oracle database allows to reduce considerably costs in comparison with use of other DBMS.

"In e-commerce today the biggest problem consists in satisfaction of the growing customer needs at accomplishment of orders. Speed any more not the luxury is a requirement — Craig Vilenski, the chief executive officer of Jasci company told. — Thanks to the autonomous Oracle database of Autonomous Database we increased performance by 75 times. Add here elasticity and security which are offered by Oracle Cloud, and opportunities become boundless. Using this Jasci database creates the new status quo for our industry".

Oracle also announced availability of impressive set of the built-in opportunities of Autonomous Database to developers, including support of Oracle Application Express (APEX), Oracle SQL Developer Web and Oracle REST Data Services. They allow to develop and unroll quickly the new applications working with data.

Oracle APEX, low-code the platform (the platform of development with the minimum coding), allows to create quickly scaled and protected corporate C applications world level opportunities. Oracle APEX can be used for import of spreadsheets and development in read minutes of web applications with a uniform source of reliable data (SSOT), to apply to formation of convincing reports and data visualization or to creation of crucial applications for data management. With previously set and already configured Oracle APEX platform in Oracle Autonomous Database developers can start application programming at once.

In addition Oracle announced availability of Oracle SQL Developer Web — the web interface for work with the autonomous Oracle database. With its help developers can easily execute requests, create tables and charts of schemes of databases. Thanks to the built-in support of Oracle REST Data Services it is possible to develop and unroll RESTful-services for Oracle Autonomous Database now. It simplifies creation of modern REST interfaces for work with relational data.

In several recent reports of independent analytical companies the innovation opportunities of Oracle Autonomous Database, such as continuous and autonomous optimization of the database for any workload were mentioned.

2018

Oracle Autonomous Data Warehouse Cloud

For December, 2018 Oracle Autonomous Data Warehouse Cloud is the cloud service of the next generation based on Oracle Autonomous Database technology and using machine learning for ensuring unprecedented performance, reliability and simplicity of deployment of data warehouses. As an autonomous cloud service it eliminates manual operations on database management subject to errors and releases resources of database administrators for implementation of strategic business projects.

Выпуск Oracle Autonomous Transaction Processing

On August 16, 2018 it became known that the chairman of the board of directors and the executive technology director of Oracle Larry Ellison announced release in sale of Oracle Autonomous Database Cloud Service for OLTP – an autonomous cloud service of Oracle Autonomous Transaction Processing is conceived, having designated an important milestone in implementation of the strategy of autonomous services by the company.

Using possibilities of machine learning and autonomous calculations, Oracle Autonomous Transaction Processing provides cost reduction, the high levels of security, availability and performance.

The provided cloud service of the self-governed Oracle database is created for the most exacting applications applied in financial, state sectors, retail and on production. Service supports a complex combination of high-performance transaction processing, reports generation, package and analytical workloads. The portfolio of services of the autonomous Oracle database Autonomous Database provides to the organizations a full range of opportunities of DBMS in the modern market.

Traditionally creation of the database management system required experts for creation of a specialized complex hardware-software stack which needed to be serviced and supported also manually. Oracle Autonomous Database revolutionizes data management, using machine learning to correspond to the principles of self-controllability, self-defense, selfrecovery and to provide the economy inherent to clouds, due to scalability and flexibility. Using autonomous services users can create new autonomous databases and it is easy to transform the existing DB that considerably reduces costs and time to market.

In addition to already released Oracle Autonomous Data Warehouse service the provided Oracle Autonomous Transaction Processing service can support a complex combination of loadings – high-performance transaction processing, reports generation, batch processing, Internet of Things and machine learning - in one database that allows to simplify development and deployment of applications, to implement analytics in real time, to use possibilities of personalisation and function of detection of fraud in application to real transaction data.

Users can reduce costs: full automation of transactions with databases and infrastructure cuts down expenses on administration to 80%. The efficiency of automatic optimization of work of the database in total with the flexible model "payment for use" cuts down expenses to 90%.

Risk reduction: automatic use of security updates without idle time of DBMS eliminates vulnerabilities to cyber attacks. Protection against all types of failures, including failures in a system, in network functioning and the user's errors, provides availability at the level of 99.995%, or less than 2.5 minutes of idle time a month, including stops on routine maintenance. Database Vault does not allow database administrators to trace user data.

Acceleration of innovations: the lack of need to service databases allows database administrators to focus attention on obtaining valuable information from data. Developers have more flexible opportunities – they can create also without efforts to use databases which do not require manual adjustment. The integrated algorithms of machine learning help to develop applications which are created by forecasts in real time, for example, on the personalized purchases or for fraud detection. Simplicity of upgrade of the existing databases for migration in an autonomous cloud gives the chance quickly and easily to transform IT infrastructure, to transfer it to modern flexible cloud model.

It is easy for clients to pass to the provided base as it uses the same Oracle database, as at local deployment of DBMS, with the same functionality and interfaces. Oracle Autonomous Database supports the most crucial loadings as it is based on Oracle Database technologies. Among these technologies – computing infrastructure of Exadata, clusters of Real Application Clusters for scaling and fault tolerance, Active Data Guard for disaster tolerance and^[1].

Oracle Autonomous Analytics Cloud, Oracle Autonomous Integration Cloud и Oracle Autonomous Visual Builder Cloud

In May, 2018 Oracle announced availability of autonomous cloud services of Oracle Autonomous Analytics Cloud, Oracle Autonomous Integration Cloud and Oracle Autonomous Visual Builder Cloud that it answers plans of the company to offer autonomous opportunities according to all Oracle Cloud Platform platform. Thanks to the built-in algorithms of artificial intelligence (AI) and machine learning these PaaS-services provide "autonomous" accomplishment of standard tasks, allowing the organizations to reduce costs, to reduce risks, to accelerate innovations and to receive analytical forecasts.

Earlier Oracle issued the autonomous database for work with data warehouses. The company aims to add features for self-government, self-defense and selfrecovery in all PaaS-services, at the same time each functional area has the, specific autonomous potential. In addition Oracle is going to provide in 2018 calendar year even more autonomous services focused on mobile applications and chat-bots, data integration, a blockchain, security and management and also on other loadings of databases, including^[2].

As the organizations are aimed at rapid implementation of innovations, they need a reliable set of the complex integrated cloud services for creation of new applications and accomplishment of the most ultimate corporate workloads. Only cloud services of Oracle can give autonomous opportunities for such key transactions as setup, patching, backup and updating without stopping of work to provide the maximum capacity, high availability and demanded safety features.

Brake Parts, the global company which delivers brake systems from the leading world brands for cars of minibuses, SUVs, utility trucks and cars of big loading capacity, in cooperation with Oracle builds intellectual trade operations. Automating complex assessment of changes in the customer base, commercial offers and processes of implementation of a new product, the Brake Parts company could eliminate the steps requiring manual intervention and to increase efficiency of response to requests of clients.

Autonomous services include Oracle Autonomous Analytics Cloud, Oracle Autonomous Integration Cloud and Oracle Autonomous Visual Builder Cloud. These services help the organizations to create and unroll easily modern applications and also to integrate and analyze critical important organizational data.

The Oracle Autonomous Analytics Cloud service combines machine learning, adaptive intelligence and autonomous opportunities for creation of the analytical platform which destroys barriers between people, geografiya, data and systems, cardinally changing methods of the analysis, understanding and use of information by the person.

Service allows business users to reveal new information quickly. Users can ask questions using mobile devices, and processing in a natural language will transform these questions to requests to a system and results are visualized on the user devices. For intellectual processing the service uses machine learning and proactively offers the additional information which the user, perhaps, still did not even request.

Thanks to predictive analytics and automatic hints in a natural language based on machine learning service shows the hidden dependences and factors of efficiency.

The service also offers predictive analytics of the data obtained from devices of Internet of Things (IoT). At the same time to large volumes of the data collected from sensors, or data which are saved up during the period preceding fault algorithms of machine learning are applied to specific data domain.

The Oracle Autonomous Integration Cloud service accelerates digital transformation, giving the chance to construct the business processes covering the different SaaS-applications of Oracle or other vendors and on-premise of the solution unrolled in the territory of the customer thanks to a combination of machine learning, the built-in best practices and the preconfigured application integration and process automation.

Service accelerates integration in difficult processes of comparison of objects attributes in two different applications by use of these, other integration processes and machine learning for display of visual recommendations about connection of these objects; provides intellectual dynamic adaptive control with development, providing API interfaces for embedding of environments of artificial intelligence / machine learning and offering the best following action (next best action) in the automated flow of processes; increases reliability and performance, offering intellectual setup of performance of integration for management of big workloads; provides robotic process automation (Robotic Process Automation) using AI / machine learning. It gives the chance to automate the final stages of development of systems, not supporting API.

The Oracle Autonomous Visual Builder Cloud service helps to accelerate development and deployment mobile and web applications, allowing business users and developers to create these applications without writing of a program code.

Service automates generation of a program code using the latest technologies conforming to industry standards and deployment by one mouse click that allows to develop quickly applications even to business users; provides autonomous delivery of mobile applications on several platforms, including iOS and Android; extends. It is based on standard technology open source (Oracle JET, Swagger).

Oracle Cloud Platform services use the general autonomous opportunities, including self-government for cost reduction and performance improvement: eliminates need for manual transactions for resource allocation, security, monitoring, backup, recovery and fault recovery. A system is automatically updated and itself sets patches directly during operation, can instantly increase or release computing resources or resources of storage without idle time.

Self-defense for risk reduction: protection against the external attacks and harmful actions of internal users. Automatically applies security updates during operation to protection against cyber attacks and automatically ciphers all data.

Selfrecovery for increase in level of availability. Provides automatic protection against all planned and unplanned idle times with availability to 99.995% that leads to reduction of a downtime up to less than 2.5 minutes a month, including routine maintenance.

The organizations can test Oracle Autonomous Cloud Platform services, including Oracle Autonomous Data Warehouse Cloud, having issued a free subscription of Free Oracle Cloud Trial here.

2017: Oracle Autonomous Database Cloud

Oracle Autonomous Database Cloud is completely self-governed autonomous database created based on Oracle Database 18c.

The algorithm of machine learning in Oracle Autonomous Database Cloud analyzes system event logs which contain information on everything that happens to networks, servers, OS, DWH, virtual machines, programs and also the systems of analytics and databases. Based on this material DBMS studies and afterwards it becomes capable to find independently in data and events of the phenomenon, deviating from regulation. Besides, she will be able to carry out classification of requests and automatic adjustment of the database.

Oracle Autonomous Database Cloud undertakes accomplishment of the following tasks of the administrator: resource allocation, setup, reservation, updating. The base is capable to do all this independently — it is only required to set politicians. Thus, in a circle of tasks of the administrator there are a design, access isolation, analytics and data protection.

2017: Announcement

At the beginning of October, 2017 the Oracle corporation announced creation of completely self-governed autonomous Oracle database of Autonomous Database Cloud. Formed a basis for development to Oracle Database 18c.

According to the chairman of the board of directors and the executive technology director of Oracle Larry Ellison, the self-governed database is the same revolutionary development, as well as the Internet. Thanks to the mechanism of machine learning Oracle Autonomous Database Cloud practically does not need administration and setup. Besides, it does not allow commission of errors by the person. In general the concept of work of self-governed base is similar to an auto pilot operation principle.

Capability reveal abnormal events should increase the level of security of DBMS, Ellison considers. At the same time, autonomous DBMS will manage to reveal and stop cyber attack or to apply patches, and without stopping system operations. It is expected that thanks to automatic optimization of caching, indexings, side-by-side execution, distribution and data compression autonomous DBMS will be less exacting to system resources, at the same time accomplishment of tasks of OLTP and data warehouses will accelerate. Availability of Oracle Autonomous Database Cloud is stated at the level of 99.995% that means no more than 30 minutes of failure to act a year.

Presumably, autonomous DBMS will begin work at the end of 2017 for a cloud service of Data Warehouse. Further other services, such as OLTP Database, Express Database and NoSQL Database will be connected. DBMS can be implemented on the Oracle Exadata platform at the client, in Oracle Cloud as a cloud service and also to build in Oracle Cloud at Customer.^[3]

Notes