Everywhere you turn, AI and ML are enabling innovation, better decisions, and improved user experiences. But implementing these technologies can be a challenge. Data is the foundation for AI, so accessing, preparing, and processing it with speed and agility is critical. Optimizing data and ML lifecycles is also vital for developers, data scientists, and data engineers.
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What's In Oracle database 21c for Java developers?
Why would a Java developer consider the Oracle database 21c release? The support for popular Java frameworks and IDEs; the support for Cloud native applications (Data-driven MicroServices and Serverless functions); the performance and scalability enhancements including: the async/reactive extensions, support for virtual threads (project Loom), the Reactive Streams Ingestion library, support for GraalVM Native Image, and a new Sharding datasource; the enhancements to diagnosability and tracing and much more. What's In Oracle database 21c for Java developers?
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