How to…

General

• Running Sparkling Water
• Changing the Default Port
• Hive Support in Sparkling Water
• Sparkling Water Logging

Security

• Enabling SSL
  • Using Automatically Generated Security Files
  • Using Manually Generated Security Files
• Enabling LDAP
  • Configuring LDAP in Scala
  • Configuring LDAP in Python (PySparkling)
• Enabling Kerberos Authentication
  • Configuring Kerberos Auth in Scala
  • Configuring Kerberos Auth in Python (PySparkling)
• Running Sparkling Water on Kerberized Hadoop Cluster
  • Internal Backend
  • External Backend
• Using SSL to secure H2O Flow UI
  • Using existing Java Keystore
  • Generate the files automatically

Frames Conversions and Creation

• Spark Frame <–> H2O Frame Conversions
  • Converting an H2OFrame into an RDD[T]
  • Converting an H2OFrame into a DataFrame
  • Converting an RDD[T] into an H2OFrame
  • Converting a DataFrame into an H2OFrame
• H2O Frame as Spark’s Data Source
  • Reading Spark Data Frame from H2O Frame
  • Saving H2O Frame as Spark Data Frame
  • Loading & Saving Options
  • Specifying Saving Mode
• Import & Export H2O Frames from/to S3
  • Specify the AWS Dependencies
  • Configuring S3A
  • Configuring S3N
  • Sparkling Water Example Code
  • PySparkling Example Code

As Spark Package

• Use Sparkling Water via Spark Packages