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Apache Oozie

Apache Oozie is the workflow scheduling system. The solution supports different types of actions that includes Hadoop distributed file system operations, SSH, MapReduce, and others. The system is extensible, has the scalable feature, and is completely reliable. Apache Oozie aggregates the complex jobs for running it in the right order. It is the open-source java web application and helps in the load balancing, and in the right attempt, etc. It finds out if the work is completed through the polling and call-back methods.

The important components of Oozie are Oozie bundle, workflow jobs, and coordinator jobs. The workflow in Oozie can be represented in the form of parameters, these parameters can run through the coordinator, referred to as a pipeline. The workflow jobs are the DAGs that means Directed A cyclical Graphs. Apache has two essential parts such as the coordinator engine and the workflow engine.

The data dependency helps to create an application called data pipeline. The vital features of Oozie are it helps schedule the workflow, HTTP, and command-line interface, monitors the workflow in the Hadoop, executes the available data. It can be integrated with Pig, Shell, Hive, Java, and others. The benefits of Apache Oozie are it is easy to use, integrate, has the right functionality and features, with the right implementation.

Companies that use Apache Oozie

Company Name Website Location Revenue
GEICO www.geico.com United States $26 Billion
State Farm www.statefarm.com United States $79 Billion
Listrak www.listrak.com United States $73 Million
United health Group www.unitedhealthgroup.com United States $287 Billion
Deutsche Bank www.db.com United States $28 Billion

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Companies Currently Using Apache Oozie (Sample Data)

Company Name Website Country
GEICO www.geico.com United States
State Farm www.statefarm.com United States
Listrak www.listrak.com United States
United health Group www.unitedhealthgroup.com United States
Deutsche Bank www.db.com United States

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