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
|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|
Companies Using Apache Oozie, Market Share & Customers List
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Companies Currently Using Apache Oozie (Sample Data)
|State Farm||www.statefarm.com||United States|
|United health Group||www.unitedhealthgroup.com||United States|
|Deutsche Bank||www.db.com||United States|