Using Workflow Manager View

Ambari includes Workflow Manager View, which supports creating, scheduling, and monitoring jobs on a Hadoop cluster. Hadoop administrators can easily design and visualize workflows in the UI as flow graphs.

Workflow Manager is based on the Apache Oozie workflow engine that allows users to connect and automate the execution of big data processing tasks into a defined workflow. Workflow Manager integrates with the Hortonworks Data Platform (HDP) and supports Hadoop jobs for Hive, Sqoop, Pig, MapReduce, Spark, and more. In addition, it can be used to perform Java, Linux shell, distcp, SSH, email, and other operations.

You can access the Workflow Manager documentation on the Hortonworks documentation website.