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Amazon EMR Migration Guide

June 12, 2019

Businesses worldwide are discovering the power of new big data processing and analytics frameworks like Apache Hadoop and Apache Spark, but they are also discovering some of the challenges of operating these technologies in on-premises data lake environments. Common problems include a lack of agility, excessive costs, and administrative headaches, as IT organizations wrestle with the effort of provisioning resources, handling uneven workloads at large scale, and keeping up with the pace of rapidly changing, community driven, open-source software innovation. Many big data initiatives suffer from the delay and burden of evaluating, selecting, purchasing, receiving, deploying, integrating, provisioning, patching, maintaining, upgrading, and supporting the underlying hardware and software infrastructure.

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Appriss

Appriss provides proprietary data and analytics solutions to effectively and efficiently address safety, fraud, risk and compliance issues for government and commercial enterprises worldwide. We are a team of technology and data science experts that are driven to solve complex business and societal problems. Our customers are leading commercial enterprises, information service providers and government agencies with focus in retail, healthcare and public safety. For more information visit Appriss.com.

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Amazon EMR Migration Guide