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Let's take a look at some familiar companies and how Big Data is a requirement.
- An interesting website covering some notable statistics on data usage on the internet for various services and apps
- Big Data as it’s often used in the world of Healthcare
- Some pretty broad use cases for big data
Scala -- A programming language derived from Java and part of the JVM ecosystem. Scala is used for many big data tasks and at places as large as Twitter for critical tasks.
If you'd like to learn more about Scala, check out the course Introduction to Scala
In this stage, we'll take a more specific look into where big data is being used,
as well as how companies or organizations are making use of its power.
The most important point to remember throughout these examples is that you
don't have to be a massive company to leverage data you have available
on a large scale.
Although it's helpful,
you don't need to have a data scientist on staff to get started.
Now oftentimes, you can tackle the data problems you have right now with only
a technical engineer that can write code in languages like Python, Java, or Scala.
This is especially important to remember for startups, where in this case,
any advantage over your competitors could mean the difference between
succeeding or failing.
Again, with just a few hundred megabytes or gigabytes of data on hand, you can
begin to see the benefits from using modern tools and frameworks in big data.
It does help, though, to take a look at more notable use cases of big data at
the companies we all know and use on a regular basis.
Google processes 40,000 search queries every second, on average,
which is 3.5 billion per day, and 1.2 trillion every year, worldwide.
Snapchat averages 2.5 billion pictures taken per day that have to be processed,
delivered, and stored.
Facebook averages 8 billion video views daily.
All of those videos have to have stats collected about them for
each user, as well as being cached effectively worldwide.
With these examples in mind, let's discuss the types of data that you may encounter
in the wild, and then we'll run through the three major domains of big data,
storage, computations, and infrastructure.
Let's kick it off by discussing what types of data exist,
right after this quick break.
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