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Let's take a look at some familiar companies and how Big Data is a requirement.
Learn more
- 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
Terms
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
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In this stage, we'll take a more specific
look into where big data is being used,
0:04
as well as how companies or
organizations are making use of its power.
0:09
The most important point to remember
throughout these examples is that you
0:14
don't have to be a massive company
to leverage data you have available
0:17
on a large scale.
0:21
Although it's helpful,
0:23
you don't need to have a data
scientist on staff to get started.
0:24
Now oftentimes, you can tackle the data
problems you have right now with only
0:27
a technical engineer that can write code
in languages like Python, Java, or Scala.
0:31
This is especially important to remember
for startups, where in this case,
0:35
any advantage over your competitors
could mean the difference between
0:39
succeeding or failing.
0:42
Again, with just a few hundred megabytes
or gigabytes of data on hand, you can
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begin to see the benefits from using
modern tools and frameworks in big data.
0:49
It does help, though, to take a look at
more notable use cases of big data at
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the companies we all know and
use on a regular basis.
0:58
Google processes 40,000 search
queries every second, on average,
1:02
which is 3.5 billion per day, and
1.2 trillion every year, worldwide.
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Snapchat averages 2.5 billion pictures
taken per day that have to be processed,
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delivered, and stored.
1:19
Facebook averages 8
billion video views daily.
1:21
All of those videos have to have
stats collected about them for
1:25
each user, as well as being
cached effectively worldwide.
1:28
With these examples in mind, let's discuss
the types of data that you may encounter
1:33
in the wild, and then we'll run through
the three major domains of big data,
1:37
storage, computations, and infrastructure.
1:42
Let's kick it off by discussing
what types of data exist,
1:45
right after this quick break.
1:48
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