Promising directions in Big Data?

Question

big data

It so happened that the project I was working on was closed, writing in python, doing real-time data analysis. Heard about big data. As I understand it, the topic is promising. I started learning R. Which direction in big data should I choose? And what technologies to study? What do you advise?

Answer 1

Well, I would not be so categorical about R.
We look at one of the most authoritative sources:
https://www.tiobe.com/tiobe-index/
R in 2008 - 0.045% of the audience, in 2018 - 2.549%
of Python in 2008 year - 4.227%, in 2018 - 4.678%.
Compare the growth rates of the user community in both languages.
A comparison can be made over the past five years.
Yes, Python is used by about twice as many people as R.
But! Niche R - exclusively DS. Python niche - DS + Web development + First language of instruction (at least in many US schools). It is clear that the audience due to the second and third terms will be much wider. By the way, R is the only openly "niche" language in the top ten.
Conclusion. If you want in Big Data and Data Science - R And Python must have!

Answer 2

If you are about data analysis, then you need to learn machine learning and python.
On February 5, a course on machine learning from open data science in Russian starts. The course is free.
https://habrahabr.ru/company/ods/blog/344044/
Also take a look at yandex clickhouse. A very handy thing for collecting statistics on a large scale.
R can not learn. Now everyone is switching to python for data analysis.