Home > Storage > PowerScale (Isilon) > Industry Solutions and Verticals > Analytics > Multi-Cloud Data Services for Dell PowerScale in AWS: Amazon EMR for Data Analytics Solutions > Conclusion
This document described a unified data-analytics platform for a massive-scale data engineering and collaborative-analytics solution. Enterprises must address the data-deployment challenges and costs associated with the storage and consumption of data for insights. The solution presented in this document combines the strengths of PowerScale powered by the Faction multi-cloud platform-as-a-service, and Amazon EMR big data cluster. This combination offers enterprises multi-cloud flexibility, which can lead to deployment freedom, superior performance, and industry-leading storage-cost reduction. Enterprises can share and use data across public clouds in both an agile and secure fashion, more efficiently use cloud compute, eliminate cloud lock-in, and reduce cloud-egress costs.
Besides deployment flexibility and exceptional price per performance, the unified data-analytics platform solution for enterprises must also meet several tactical demands. First, it must process data by using solutions like Amazon EMR for data discovery, in-place analytics, AI, and ML. Second, it must support real-time streaming with the ability to scale to high message rates and large datasets. Third, it must satisfy the concurrency requirements resulting from today’s business intelligence solutions.
Enterprise customers continue to demand more data with faster access to insights. However, traditional architectural approaches that rely on commodity solutions that are built on virtualized instances fall short of these stringent demands and come at a premium price. With optimized instances and purpose-built analytics solutions described in this document, customers have the flexibility and price per performance required for today’s multi-cloud challenges.