MapReduce
One line Definition :
- To process huge amount of data.
- Its a programming model to process huge amount of data.
- Huge data means, exists in terabytes or petabytes.
- Data can be any form structured and unstructured.. etc.
- It's basically difficult and hard to handle the huge amount of data.
- We can achieve this with MapReduce.
Benefits
Simplicity
- Developers have a choice to develop the applications in their native technical languages like Java, C++ or Python, and MapReduce jobs are easy to run.
Scalability
- MapReduce can process the terabytes and petabytes of data which stored in HDFS on cluster mode.
Speed
- MapReduce process the data in an speed way becasue of its holding the feature of Parallel processing.
Recovery
- Its a BIG challenge to keep the data from failures.
- MapReduce takes care of data failures or loses.
- MapReduce clones the data in machines to overcome the data failure.
Thanks for your time.
- Nireekshan