Oracle Database Sharding – Hyper scale applications – gor geo-distributed workloads

Oracle Sharding – shared nothing architecture computing, which distributes segments of a datasets across many databases (shards) on different geography, on-premises or in cloud. It enables globally distributed, linearly scalable, multi-model databases. DB Sharding doesn’t require any specialized hardware or software. Internet/Web applications leverages geographically distributed database instances to ensure NO single point of failure. DB Sharding provides multi-region fault tolerance by enabling cross-region replication without any additional replication software. Database Sharding helps consolidating large datasets, it helps Customer to do Faster Data ingestion and to build large Datalakehouses, serve complex Datameshes and advanced Analytics. Sharding provides conventional path to advanced features how a technology helps meet the requirements of Business Areas. It helps to do distributed systems, localization of data sets, ensuring Data sovereignty – by creating different shards ( User, System, Composite Shards). Local shard-composite shard based SQL based Dashboards Application and reporting., even with third party – reporting applications. Overall DB Sharding helps to manage IT better way, in order to transform Business, for different apps Manufacturing, advanced Analytics, Sales – CRM, Sales Apps & volumes of geo-distributed data and Hubs to Integrate existing as well as new niche applications in Decision support systems & building a Global Analytics platform for in any Industry.

Oracle Database – A Converged Database Unstructured Data support JSON SODA Features

A converged database is a database that has native support for all modern data types and the latest development paradigms. Converged databases support Spatial data for location awareness, JSON for document stores (SODA), IoT for device integration, in-memory Technologies for real-time analytics, and of course, traditional relational data. Converged Database can run all sorts of workloads from IoT to Blockchain to Analytics and Machine Learning. It can also handle any development paradigm, including Microservices, Events, REST, SaaS, and CI/CD, to name a few.