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You have completed Introduction to Big Data!
You have completed Introduction to Big Data!
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Let's discuss what to expect for this course.
Learn more
- Get a sense of how much Big Data software is out there by checking out the Awesome Big Data repository on Github
- How key players in the tech industry define “Big Data”
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[MUSIC]
0:00
Hello, I'm Craig, and I'm a developer.
0:04
In this course,
0:06
we're gonna explore what exactly big data
means, how it applies to the real world.
0:07
And most importantly,
what it means for you.
0:12
But before we get started,
0:14
I'd like to ask that you familiarize
yourself with your learning environment.
0:15
Now first,
there's speed controls on the player.
0:19
Please slow me down, or speed me up,
to your heart's content.
0:21
I won't mind at all.
0:25
On just about every video,
0:26
we've added additional information
to the teachers notes.
0:27
I'll attempt to call it out when I
put valuable information in there.
0:30
But please,
0:33
get in the habit of checking the notes for
more juicy tidbits of information.
0:33
Now finally, don't forget that there's
a wonderful community of your fellow
0:37
students available for you to chat
about any sort of question, concern, or
0:41
just general ideas.
0:44
Make sure you check it out.
0:46
So let's talk a bit about what big
data is, from a high level view.
0:48
So this definition basically helps
you understand the original need for
0:52
a new label.
0:56
It was like wow, that is a lot of data.
0:57
And the way we are currently doing things,
1:00
this isn't going to be able
to handle the request.
1:02
The good news is, that there are many
relatively new tools that have evolved
1:05
over time to handle these data challenges.
1:09
Now, the solutions come from all
different parts of the tech industry.
1:11
Big data requires specialized tools and
software to ingest, clean, manipulate, and
1:15
extract trends and
other relevant information.
1:19
We'll take a look at these tools
in more detail here, in a bit.
1:22
Companies like [SOUND] Facebook, [SOUND]
Netflix, [SOUND] Google, [SOUND] PayPal
1:25
and Target, they all use big data on a
daily basis, for a wide range of reasons.
1:29
[SOUND] Now, Netflix uses big
data to recommend other content.
1:34
[SOUND] Facebook needs to cache images for
billions of users around the world.
1:37
[SOUND] Google needs to process
millions of search queries per second.
1:41
[SOUND] Target predicts purchasing
decisions of its customers.
1:46
[SOUND] And
1:48
PayPal uses big data to predict fraud
across millions of transactions.
1:49
Big data is part of the world now, and
1:53
rapidly becoming an expected
part of many businesses.
1:55
Big data is becoming so
much more than merely large data sets.
2:00
In today's world, it represents
an entire ecosystem of data sets,
2:04
tools, and applications.
2:08
This course that Jared and
I have put together for
2:10
you, is intended to get you familiar with
the concepts, the problem spaces, and
2:11
the overall ecosystem of big data.
2:15
We won't be doing any coding
in this course, but we will be
2:18
discussing the tools that are available,
and why you might want to use them.
2:20
Let's take a quick break,
and then come back and
2:25
explore some of the defining
characteristics of big data.
2:26
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