As enterprises struggle with poor data reliability, unscalable infrastructure, management complexities, excessive maintenance overheads, and unrealized value, they are looking to move their data and workloads to a cloud alternative.
However, ensuring business continuity during cloud migration is a major challenge. The applications built on Hadoop have fast and ready local access to an on-premises data warehouse. As multiple data pipelines read and write data concurrently in real-time, how do you ensure quick access while migrating workloads without disrupting business? How do you get 360-degree visibility of your data ecosystem, including the process dependencies and usage patterns necessary to operationalize your workloads in the new environment?