Common is intended to give the Hadoop framework ways to manage typical common hardware failures. Oozie is the workflow scheduler that was developed as part of the Apache Hadoop project. It manages how workflows start and execute, and also controls the execution path. Oozie only supports specific workflow types, so other workload schedulers are commonly used instead of, or in addition to, Oozie in Hadoop environments. Big data is becoming a catchall phrase, while Hadoop refers to a specific technology framework.
Hadoop is a gateway that makes it possible to work with big data, or more specifically, large data sets that reside in a distributed environment. One way to define big data is data that is too big to be processed by relational database management systems RDBMS.
Perhaps a more important question than How is Hadoop related to big data? The relationships between the core Hadoop modules and the technologies and solutions that complement and compete with them are covered in more depth in the Hadoop Ecosystem section of this guide.
Relational databases and distributed file systems each do parts of what Hadoop can do, but operate on a much smaller scale. Again, a more instructive question is Which elements of Hadoop can be replaced or enhanced by other technologies and products in the ecosystem?
Any list of how Hadoop is being used and the organizations that are using it would become out of date in the time it takes to save the file. To generalize, Hadoop has found a home in industries and organizations characterized by having large data sets, time-sensitive data, and data that could provide insight to improve performance or revenue.
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