Apache Tez is a generic data-processing pipeline engine envisioned as a low-level engine for higher abstractions
such as Apache Hadoop Map-Reduce, Apache Pig, Apache Hive etc.
At it’s heart, tez is very simple and has just two components:
The data-processing pipeline engine where-in one can plug-in input, processing and output implementations to
perform arbitrary data-processing. Every ‘task’ in tez has the following:
Input to consume key/value pairs from.
Processor to process them.
Output to collect the processed key/value pairs.
A master for the data-processing application, where-by one can put together arbitrary data-processing ‘tasks’
described above into a task-DAG to process data as desired.
The generic master is implemented as a Apache Hadoop YARN ApplicationMaster.
Apache Tez
Apache Tez is a generic data-processing pipeline engine envisioned as a low-level engine for higher abstractions such as Apache Hadoop Map-Reduce, Apache Pig, Apache Hive etc.
At it’s heart, tez is very simple and has just two components: