Hi,

I will explain you the best way to learn Big Data and Hadoop. The best way to learn anything is to start from basics, experiment with the concepts. Then move on to the next topic and learn next topic, experiment the learned technology.

So, in nutshell you have to learn Big Data Step-by-step, there is no way to learn all things in one go.

Big Data consist of combination of lots of technologies and learning curve for all these technologies is very high. So, to ease the process you can take any Big Data and Hadoop training course as well.

If you take any Big Data and Hadoop training course then it will help you in getting started quickly. This will help you I learning the concepts easily as institute will provide you ready to try example codes.

Here are the steps you should follow:

1. Lear basics of Big Data and Hadoop

2. Download and Install Hadoop

3. Learn to start and stop Hadoop

4. Learn Hadoop commands

5. Learn to load data into Hadoop

6. Learn to run data processing job

7. Learn various tools of Hadoop such as Hbase, NoSQL, Hive etc.

So, learning curve is very high and you have to learn the things one by one.

Big Data requires you to learn following technologies:

1. Programming skills

2. Data Structure & Algorithms

3. Analytical skills

4. Database Skills

5. Mathematics

6. Machine Learning

7. NLP

8. OS

9. Cryptography and

10. Parallel Programming

There are many choices in Programming language also, you can learn Java or Python.

Similarly there are many options with all the above 10 options.

So, you have to first learn the basics of Big Data and after that keep o learning all these technologies as per the project requirement basis.

You can check our Big Data and Hadoop Training course which is delivered online.

Hope above information will help you in deciding your future Big Data learning path.

Thanks