Why Data Orchestration?

Large-scale analytics and AI/ML applications require efficient data access, with data increasingly distributed across multiple data stores in private data centers and clouds. Data platform teams also need the flexibility to introduce new data sources and move to new storage options with minimal changes or downtime for their applications. This paper delves further into what’s driving the need for–and what problems are solved with—an Alluxio data orchestration layer as part of a modern data platform.

Why Data Orchestration?

Large-scale analytics and AI/ML applications require efficient data access, with data increasingly distributed across multiple data stores in private data centers and clouds. Data platform teams also need the flexibility to introduce new data sources and move to new storage options with minimal changes or downtime for their applications. This paper delves further into what’s driving the need for–and what problems are solved with—an Alluxio data orchestration layer as part of a modern data platform.

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