Kinda like Valentine from Kingsman.
I'm a bit apprehensive of their executive saying deep packet inspectionn will be the actual gold mine [http://qz.com/771690/reliance-jio-bombshell-the-good-the-bad...]
I'm a bit apprehensive of their executive saying deep packet inspectionn will be the actual gold mine [http://qz.com/771690/reliance-jio-bombshell-the-good-the-bad...]
Privacy: An unnamed Jio executive mentioned “deep packet
inspection” to Reuters, saying: “It’s called deep packet
inspection, and what you can do with the analytics of that is
mind-boggling,” he said, referring to a practice that digs into
“packets” of data created by computers for efficiency, mining
them for information. If this is happening and Jio is accessing
data packets to develop patterns of user data consumption, this
is a major privacy violation. The company deserves to be taken
to court for this, as much as the India needs a privacy law.
Welcome to India!
Can you even imagine the scale needed to process this kind of data? That's petabytes (rough estimate), every day. Maybe, it's theoretically possible but any investment in this kind of technology would be enormous.
Browsing behaviour data maybe valuable but to what scale? Even a big advertising firm would balk at spending any big bucks for this and remember, the scale needed to mine any information out of this. How much valuable business insights can this generate that wasn't possible in the past?
Maybe I am wrong but I'd be very skeptical if selling is their master plan.
Also, may be some people in India won't mind accepting this if Reliance gives LTE internet at very low cost, others might not just use it i guess.
You are right about the volumes, but wrong about it being impractical.
The volumes with a relatively small opco:
- +-7m subs
- 250gb just for the protocol classification. *
- Then you also have url logs etc
Key factors that reduce the costs and investment:
- commodity hardware (with hadoop etc)
- distributed
- query patterns
- you do not need to store every single record. The data can be aggregated up to hourly, daily, monthly the older it is
This is what we did, data was aggregated which significantly reduced storage.
Tested various options: Hive, hbase, druid
Edit: * per day
It's not like this is a uniquely Indian problem. The largest wireless provider in the US (Verizon) was caught doing basically exactly this, and other (broadband) telecom providers are trying to do the same.
That's exactly what a CONTRACT is: Giving up some rights, in return for things that you didn't deserve before.