Big Data Analysis

Its starts with one progression. This is an important place to start. Historically data was being generated and accumulated by workers in other words. Employees of companies were entering data into computer systems. But then things evolved to the internet and now users can generate their own data. Example is Facebook, were users are signing up and entering the data themselves. That’s scalable larger than the first by orders magnitude. It’s scaled up from employee’s entering the data to users entering their own data
All of a sudden the data accumulated are way higher than it was historically. Now there’s even a third level in this progression because machines are now accumulating data. The building and all our cities are full of monitors that are monitoring humidity and temperature and electricity usage. There’s smart meters on our homes that are measuring the amount of energy every homes are using. There are even satellite around the earth that are monitoring the earth 24 hours a day and taking pictures and accumulating data. That’s orders are higher than users.
So there’s a progression from employees generating data to machines generating data rates and where the machine stages.

So there is a colossal amounts of data being generated

Then how does that change things. .Back on the good old day’s people used to use relational databases to process through data. But then, essentially there is major shift that has taken place. Before we take the data and take it to the processor like the cpu or computer chip to process the data. However, before the data overwhelms the data because of too much data. Now due to change and multiple processors even the processors find the data itself.

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