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Collaborative Self-Serve Advanced
Analytics with Sparkflows + HPE Data Fabric

Perform Data Analytics, Data Exploration, build ML models and Data Engineering in minutes using the 450+ Processors in Sparkflows

HPE Data Fabric and Sparkflows : Accelerating pace of analytics across hybrid environments

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In Sparkflows you can

Build and Run Analytics and ML jobs on HPE Data Fabric 

Seamlessly read files from MapR-FS and process them

Send data to and build ML models on the Spark Kubernetes cluster running in HPE Data Fabric

Read and process streaming data from Apache Kafka and other pub-sub end points

Results include data in Charts, Tables, Text, etc.

Benefits of Sparkflows on HPE Data Fabric

Find quick value with Sparkflows and HPE Data Fabric

Enable Business Analysts

Enable Business Analysts to find quick value with HPE clusters

Self Serve Advanced Analytics

Enable users to do analytics and Machine Learning in minutes

Enable 10x more users on HPE Ezmeral

10x More Users

Makes it easy to build, maintain and execute

No code and low code platform
Return on Investment (ROI)

Solve your data science use cases 10x faster

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