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Apache Spark

Open source analytics engine for big data processing, with built-in modules for streaming, SQL, machine learning and graph processing. HPE Ezmeral Runtime automates deployment of a Spark cluster on Kubernetes.

Product Name

Apache Spark 3.0 for Kubernetes

Product Version

3.0

Ezmeral Runtime Version

5.3

Overview

Apache Spark is a unified analytics engine for big data processing, with built-in modules for streaming, SQL, machine learning and graph processing.

Apache Spark is blazing FAST

Apache Spark is SCALABLE

Apache Spark is EASY

Apache Spark is the defacto tool for ETL, Data Analytics/AI, and Data Engineering with a robust ecosystem of compute and storage solutions from top tier open source and ISV offerings.

Proven Enterprise Grade

•          Support: 24/7 support

•          Security: Air gapped, Policy Management, Zero Trust, Sysdig

•          Integrated Analytic Workflows: ML OPS, ISV Ecosystem, Airflow, ML Flow, Kubeflow

•          Ease of Use: Multiple versions, open API, UI based management plan

Innovate at the speed of open source

•          Open-Source Apache Spark 3 operator runs natively

True Hybrid Cloud Deployments

•          No lock-in

Frictionless access to data from edge to cloud

•          S3, DataTap to HDFS/NFS, Data Fabric

Unified real-time and batch analytics

•          Delta Lake integration

Acceleration with NVIDIA GPUs

•          Supports the latest GPU technology

•          Heterogenous GPU support

•          GPU Fractionalization

Flexible consumption models

•          Traditional and aaS via GreenLake

Documentation
Additional Information

Explore the industry’s first enterprise-grade enterprise runtime platform for cloud-native and distributed non-cloud native applications, HPE Ezmeral Runtime.

Interested in learning more about the HPE Ezmeral Runtime and Apache Spark? Please contact us to learn more. 

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