What technologies are trendy in data scince and big data?

Question

big data

Good afternoon!
Some time ago I was engaged in data analytics, and if not BIG, then somewhere in the middle date (hundreds of millions of records). We solved the problems on a fairly standard stack. php, java, pgsql, mysql, sphinx, etc.
In principle, everything is realizable and worked, but now I already want something more "out of the box". What technologies are now fashionable for data collection, storage, distribution, processing and analytics.
Interested in everything. Languages ​​sharpened for working with data and statistical functions, storages sharpened for large amounts of different data, distributors (mapreduce) and queue servers, out-of-the-box olap solutions, etc.
Titles are accepted, preferably with a short synopsis, but you can do without it :)

Answer 1

Wow question :-).
Well, in general, if you are interested in what is in trend, then here are the "almost recent" reviews on the topic. Even - with a brief description.
en.datasides.com/big-data-analytic-tools
www.kdnuggets.com/2016/06/r-python-top-analytics-d...
www.itpro.co.uk/strategy/28161/the-best -big-data-t...
I think that's more than enough for a start.

Answer 2

Look towards Hadoop, mapreduce and python.