Self-Service Data Analytics & AI
with HPE Ezmeral and Sparkflows
HPE Ezmeral and Sparkflows : Accelerating pace of analytics across hybrid environments
Overview of Ezmeral Unified Analytics Software
Unified Analytics Software
Managed open-source analytics frameworks
ISVs
BYO Tools
Data Fabric Software
Seamlessly, access, manage, govern global data
EDGE
HPE GreenLake/
On-Premises/Colo
Public
Clouds
Solution Design
Overview of Sparkflows HPE Unified Analytics Integration
Sparkflows is deeply integrated with HPE Ezmeral Unified Analytics platform. It can be installed as a pod in the kubernetes environment of Ezmeral/Unified Analytics and submit the jobs to Spark clusters via Livy. It can process data from maprfs and other datas sources in the Unified Anlalytics platform
In Sparkflows you can
Build and Run Analytics and ML jobs on Ezmeral Unified Anlaytics platform
Seamlessly read files from maprfs and process them
Send data to and build ML models on the Spark Kubernetes cluster running in Ezmeral platform
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 Ezmeral Unified Analytics
Find quick value with Sparkflows and HPE Unified Analytics Integration
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