Featured post

Best Machine Learning Book for Beginners

You need a mixof different technologies for Data Science projects. Instead of learning many skills, just learn a few. The four main steps of any project are extracting the data, model development, artificial intelligence, and presentation. Attending interviews with many skills is not so easy. So keep the skills short.
A person with many skills can't perform all the work. You had better learn a few skills like Python, MATLAB, Tableau, and RDBMS. So that you can get a job quickly in the data-science project.
Out of Data Science skills, Machine learning is a new concept. Why because you can learn Python, like any other language. Tableau also the same. Here is the area that needs your 60% effort is Machine learning.  Machine Learning best book to start.

Related Posts How to write multiple IF-conditions in Python Simplified

Storage Node Vs Compute Node

Compute Node

  • This is the computer or machine where your actual business logic will be executed.
  • The compute node mainly focussed on RAM and CPU

Storage Node

  • This is the computer or machine where your file system reside to store the processing data. In most of the cases compute node and storage node would be the same machine.
  • The storage node mainly focussed on block storage.

What are the restrictions for Key and Value Class

  • The key and value classes have to be serialized by the framework. To make them serializable Hadoop provides a Writable interface.
  • As you know from the java itself that the key of the Map should be comparable, hence the key has to implement one more interface WritableComparable.

Comments

Popular posts from this blog

Hyperledger Fabric: 20 Real Interview Questions

Best Machine Learning Book for Beginners

Python Assigning Multiple Values at Once