Deployment

• Sparkling Water Backends
  • Internal Backend
  • External Backend
  • Obtaining Extended H2O Jar
  • Manual Mode of External Backend
  • Automatic Mode of External Backend
• Importing H2O Mojo
• Deploying PySparkling Pipeline Models
• Using the MOJO Scoring Pipeline with Spark/Sparkling Water
  • Requirements
  • Preparing Your Environment
  • PySparkling
  • Sparkling Water

Amazon EMR

• Use Sparkling Water with Amazon EMR
• Use Sparkling Water with Amazon EMR from the Edge Node
• Start Sparkling Water on Amazon EMR using our Terraform Template

Databricks

• Running Sparkling Water on Databricks Azure Cluster
• Running RSparkling on Databricks Azure Cluster
• Running PySparkling on Databricks Azure Cluster
• Download H2O Logs from Databricks Cloud

Google Cloud Dataproc

• Running Sparkling Water on Google Cloud Dataproc
  • Sample Script for Sparkling Water Job

HD Insight

• Using Sparkling Water with Microsoft Azure HDInsight - Beta
  • H2O Artificial Intelligence for Azure HDInsight

Windows

• Use Sparkling Water in Windows Environments
• Use RSparkling in Windows Environments
  • Prepare Spark Environment
  • Prepare R Environment
  • Test the Functionality
  • Troubleshooting
  • References

Zeppelin

• Sparkling Water and Zeppelin
  • Launch Zeppelin with Sparkling Water
  • Using Zeppelin