August 2015
Intermediate to advanced
278 pages
5h 54m
English
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Shortcomings of MapReducev1
Though the Hadoop MapReduce framework was widely used, the following are the limitations that were found with the framework:
- Batch processing only: The resources across the cluster are tightly coupled with map-reduce programming. It does not support integration of other data processing frameworks and forces everything to look like a MapReduce job. The emerging customer requirements demand support for real-time and near real-time processing on the data stored on the distributed file systems.
- Nonscalability and inefficiency: The MapReduce framework completely depends on the master daemon, that is, the JobTracker. It manages the cluster resources, execution of jobs, and fault tolerance as well.
It is observed that the Hadoop ...
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I wanted to learn C and C++, but it didn't click for me until I picked up an O'Reilly book. When I went on the O’Reilly platform, I was astonished to find all the books there, plus live events and sandboxes so you could play around with the technology.Addison B.
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I'm always learning. So when I got on to O'Reilly, I was like a kid in a candy store. There are playlists. There are answers. There's on-demand training. It's worth its weight in gold, in terms of what it allows me to do.