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Enable massive scale data platforms and analytics
84% shorter delivery cycles with automated DevOps
30% cost savings on AWS as compared to the on-premise set-up
60% infrastructure cost reduction and improved application performance by re-architecting data lake on AWS
USD 50K monthly OpEx savings with continuous monitoring and optimization
~80% auto-conversion to save 50% cost and time compared to manual transformation
End-to-end transformation of workloads from Netezza to a modern data lake architecture on AWS
The blog describes a use case of migrating legacy data processing pipelines to a high performant, scalable cloud solution
Learn how you can avoid major security risks, high maintenance costs, and idle resources, and tap the benefits of the cloud successfully
StreamAnalytix, a visual analytics platform to build and deploy analytics and machine learning applications with Apache Spark, is available on the AWS Marketplace
Learn how you can convert almost any legacy source to an AWS-native technology stack — 4x faster than hand-coding
