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Description

Companies are increasingly transitioning their communication and collaboration platforms to cloud-based systems. To safeguard against potential vendor lock-in and interruptions, it is essential for them to have an independent backup or archival solution on a different cloud. Manual data operations are often vulnerable to risks such as data loss or theft. Therefore, it is crucial for emerging tools to accommodate a variety of data types and incorporate robust in-built checks for data integrity, facilitating swift and error-free migration of substantial data volumes. Legacy software typically necessitates dedicated physical hardware and lacks the capability to manage the data produced by modern SaaS applications. Additionally, these traditional tools demand significant human effort for data transformation. As more businesses adopt cloud communication services, the volume of generated data continues to increase. To effectively manage this data, organizations require automated systems that can scale efficiently. Consequently, there is a pressing need for hands-free automation solutions, ensuring that the data being processed remains secure and accessible. Furthermore, enhancing data security and operational efficiency will become increasingly vital as the reliance on cloud infrastructures grows.

Description

Oracle Database@AWS allows users to seamlessly transfer their Oracle Databases, encompassing Oracle Exadata workloads, to either the Oracle Exadata Database Service on Dedicated Infrastructure or the Oracle Autonomous Database on Dedicated Exadata Infrastructure hosted within AWS. This transition is designed to require little to no modifications to existing databases or applications, all while ensuring complete compatibility with features and architecture, as well as maintaining high performance and availability. Users can create low-latency connections between Oracle Database@AWS and their applications running on AWS, including those on Amazon Elastic Compute Cloud (Amazon EC2). Additionally, Oracle Database@AWS connects directly with AWS Analytics services via zero-ETL, facilitating the integration of data from Oracle and AWS, which enhances analytics capabilities and machine learning initiatives. Moreover, it supports integration with AWS generative AI services to foster rapid innovation. This comprehensive solution provides a cohesive experience for the collaborative aspects of purchasing, management, operations, and support, streamlining processes for businesses. Ultimately, this integration empowers organizations to leverage cloud technologies more effectively, driving efficiency and growth.