Oracle Pushes Cloud as a Service, AI/ML for Data Analytics
Making better business decisions faster is a top priority for tech-savvy organizations today, as key announcements from Oracle’s CloudWorld conference show. Oracle’s biggest announcement in the world of edge and cloud computing is Oracle Alloy, a cloud infrastructure platform designed to enable organizations to become cloud providers for their customers. Take a look at their other offerings, including the latest Oracle 23c database release, several new distributed cloud offerings, and the updated HeatWave Lakehouse MySQL database tool.
Partner organizations can use this cloud infrastructure platform in their own data centers, an attractive option that allows flexibility in terms of regulatory requirements. It also allows organizations to extend the partnerships they may already have with Oracle Cloud Infrastructure to the public sector or other industries that may want to operate clouds independently, turning them into middle-of-the-road cloud providers.
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“Customers are increasingly looking to run their workloads in specific locations and to run those workloads in the cloud of their choice,” Oracle found.
The Alloy Platform offers the same 100 infrastructure and platform services accessible in OCI’s public cloud. From here, customers can add their own branding, SDKs, documentation, pricing, account types, and discount schedules. Alloy is open to customers bringing specific hardware appliances into the ecosystem and using what works best for them locally to bring the cloud supported by Oracle.
Oracle Cloud Infrastructure developers have extended Oracle Distributed Cloud to include more development services. Specifically, the extension adds services for building cloud-native apps, artificial intelligence data services, low-code development and more. Easing the transition to cloud-native services includes Virtual Nodes functionality for Oracle Container Engine for Kubernetes and Container Instances service.
Containers and Kubernetes are both commonly talked about in the same breath as cloud computing today. Oracle hopes to reduce the complexity and management overhead needed for developers to run them. Virtual Nodes provide granular elasticity at the pod level with resource-consumed pricing per pod without having to manage as much infrastructure.
MySQL HeatWave Lakehouse
Next up is an update to Oracle’s database cloud service for MySQL, HeatWave Lakehouse. HeatWave is an enhancement to an analytics database service for MySQL, to improve the speed of transactional and analytics services. This memory cluster processes and queries hundreds of terabytes of data in the object store in a variety of file formats. Clients using it come from the marketing analytics, automotive, telecommunications, high-tech and other industries.
MySQL HeatWave Lakehouse was created in coordination with AMD and as such is optimized for Oracle cloud instances powered by AMD EPYC. Data size has increased up to 400 TB of data, and the HeatWave cluster scales up to 512 nodes. It’s also ready to work in multiple clouds, including OCI, AWS, and now Microsoft Azure.
23c beta database
Oracle Database 23c, the latest version of Oracle’s converged database, is now in beta. The latest version focuses on simplifying the development of applications in JSON, Graph or microservices. It also includes JSON Relational Duality to resolve a common mismatch between how applications represent data and how relational databases store it.
Oracle APEX 22.2 is now also in preview as part of the beta release. APEX’s Progressive Web App enhancements improve low-code app development by working in a virtually native mobile user experience.
Two up-to-date recovery services ensure that data will be available even in an emergency, such as catastrophic weather, which could lead to loss of power or physical damage. Oracle Database Zero Data Loss Autonomous Recovery Service is a recovery service for other Oracle services. The OCI Full Stack Disaster Recovery service provides customers with an overview of their recovery process, viewing the entire technology stack from the OCI console.
Data Analysis Services
Oracle has released several new product updates in the area of data and analytics solutions. They have been developed in a world where growing awareness of the skills gap has led to a design philosophy that favors moving away from a heavy reliance on IT, remembering that people should always be aware at all stages of the process.
In particular, Oracle offers advanced composite visualizations as a way to solve the problem of interpreting data that is too complicated or takes too long. Artificial intelligence and machine learning are becoming the eyes and ears of industry as Oracle turns them to Analytics Cloud and other Oracle Cloud Infrastructure cognitive services like AI Vision, all in dashboards in one look.
Along with a slew of Oracle Fusion Analytics products, several new Oracle Analytics Cloud features were announced this week, stemming from the roots of AI/ML. A semantic modeler creates a more readable layer between business users and the complexity of physical data sources in a centralized semantic model.
Business users can also take advantage of advanced composite visualizations to move metrics in charts and analyze data patterns and signals. Another one-click feature provides proactive automated insights for building visualizations, powered by Oracle Analytics Cloud.
Autonomous Data Warehouse in particular comes with a new coat of paint. It can now take advantage of a new Excel add-in and has a new comprehensive and integrated data integration tool with Transforms. The GoldenGate OCI flow analysis tool has new capabilities to discover and test outliers and anomalies, apply insights from ML models, and help decide the next best course of action.
Overall, visibility, ease of use, and cloud connectivity emerged as themes for Oracle’s recent announcements.
Find more information on Oracle cloud products and comparisons between Oracle HR software and Workday or Oracle ERP software and SAP.