How Hadoop Works? HDFS case study by Dane Dennis.
From the post:
The Apache Hadoop software library is a framework that allows for the distributed processing of large data sets across clusters of computers using simple programming models. It is designed to scale up from single servers to thousands of machines, each offering local computation and storage.
Rather than rely on hardware to deliver high-availability, the library itself is designed to detect and handle failures at the application layer, so delivering a highly-available service on top of a cluster of computers, each of which may be prone to failures. The Hadoop library contains two major components HDFS and MapReduce, in this post we will go inside each HDFS part and discover how it works internally.
Knowing how to use Hadoop is one level of expertise.
Knowing how Hadoop works takes you to the next level.
One where you can better adapt Hadoop to your needs.
Understanding HDFS is a step in that direction.