HPE Servers for Big Data Analytics and Hadoop

Modular Hadoop infrastructure foundation for accelerating business insights, enabling rapid deployment, efficiently scaling, and securely managing Big Data workloads.
RECOMMENDED FOR YOU
Transforming big data into profitable business insight
Transforming big data into profitable business insight
There is more data available today than ever before, but many organizations do not get the full value. What are the critical components for leveraging big data for better business results?
View best practices guide
RECOMMENDED FOR YOU
Transforming big data into profitable business insight
Transforming big data into profitable business insight
There is more data available today than ever before, but many organizations do not get the full value. What are the critical components for leveraging big data for better business results?
View best practices guide
RECOMMENDED FOR YOU
Transforming big data into profitable business insight
Transforming big data into profitable business insight
There is more data available today than ever before, but many organizations do not get the full value. What are the critical components for leveraging big data for better business results?
View best practices guide

Enable Hadoop in the Enterprise Data Center

Improve customer retention, increase operational efficiencies, influence product development and quality, and gain a competitive advantage by leveraging Hadoop in your modular data center.

Choose from Two Deployment Models

HPE Balanced and Density Optimized (BDO) Architecture

Choose from multiple symmetric reference architectures for Big Data Analytics leveraging the Balanced and Density Optimized (BDO) solution on the HPE ProLiant DL380 or Apollo 4200 server platforms. These Hadoop reference architectures for Cloudera and Hortonworks provide you with the familiarity and proven record of the traditional Big Data Analytics architecture built on the strength of HPE server and storage components and supported by HPE services.

HPE Workload and Density Optimized (WDO) Architecture

Reap the unique benefits of a Workload and Density Optimized (WDO) solution with asymmetric architecture. HPE WDO enables independent scaling of compute and storage resources, optimizing data throughput, and adapting to workload changes in real time. These Hadoop WDO reference architectures for Hortonworks and Cloudera provide you with the familiarity and proven record of the traditional Big Data Analytics architecture built on the strength of HPE ProLiant, Moonshot, and Apollo servers and storage components and supported by HPE services.

Resources

Reference Guide : HPE Reference Architecture for Cloudera Enterprise 5 on HPE Apollo 4200 Gen9 Servers

HPE Reference Architecture for Cloudera Enterprise 5 on HPE Apollo 4200 Gen9 Servers
Reference Guide

HPE Reference Architecture for Cloudera Enterprise 5 on HPE Apollo 4200 Gen9 Servers

Reference Guide : HPE Reference Architecture for Hortonworks HDP 2.4 on HPE Apollo 4200 Gen9 Servers

HPE Reference Architecture for Hortonworks HDP 2.4 on HPE Apollo 4200 Gen9 Servers
Reference Guide

HPE Reference Architecture for Hortonworks HDP 2.4 on HPE Apollo 4200 Gen9 Servers

Reference Guide : HPE Reference Configuration for Big-Data-as-a-Service with BlueData EPIC Software

HPE Reference Configuration for Big-Data-as-a-Service with BlueData EPIC Software
Reference Guide

HPE Reference Configuration for Big-Data-as-a-Service with BlueData EPIC Software

Reference Guide : HPE Reference Architecture for SAP HANA Vora with Spark and Big Data Analytics

HPE Reference Architecture for SAP HANA Vora with Spark and Big Data Analytics
Reference Guide

HPE Reference Architecture for SAP HANA Vora with Spark and Big Data Analytics

Reference Guide : See the Complete List of Reference Architectures

See the Complete List of Reference Architectures
Reference Guide

See the Complete List of Reference Architectures

Reference Guide : Spark – A Modern Data Processing Framework for Cross Platform Analytics

Spark – A Modern Data Processing Framework for Cross Platform Analytics
Reference Guide

Spark – A Modern Data Processing Framework for Cross Platform Analytics: Deploying Spark on HPE Elastic Platform for Big Data Analytics