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[MUSIC]

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Hello, I'm Craig, and I'm a developer.

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In this course,

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we're gonna explore what exactly big data
means, how it applies to the real world.

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And most importantly,
what it means for you.

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But before we get started,

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I'd like to ask that you familiarize
yourself with your learning environment.

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Now first,
there's speed controls on the player.

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Please slow me down, or speed me up,
to your heart's content.

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I won't mind at all.

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On just about every video,

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we've added additional information
to the teachers notes.

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I'll attempt to call it out when I
put valuable information in there.

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But please,

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get in the habit of checking the notes for
more juicy tidbits of information.

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Now finally, don't forget that there's
a wonderful community of your fellow

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students available for you to chat
about any sort of question, concern, or

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just general ideas.

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Make sure you check it out.

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So let's talk a bit about what big
data is, from a high level view.

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So this definition basically helps
you understand the original need for

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a new label.

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It was like wow, that is a lot of data.

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And the way we are currently doing things,

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this isn't going to be able
to handle the request.

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The good news is, that there are many
relatively new tools that have evolved

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over time to handle these data challenges.

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Now, the solutions come from all
different parts of the tech industry.

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Big data requires specialized tools and
software to ingest, clean, manipulate, and

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extract trends and
other relevant information.

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We'll take a look at these tools
in more detail here, in a bit.

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Companies like [SOUND] Facebook, [SOUND]
Netflix, [SOUND] Google, [SOUND] PayPal

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and Target, they all use big data on a
daily basis, for a wide range of reasons.

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[SOUND] Now, Netflix uses big
data to recommend other content.

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[SOUND] Facebook needs to cache images for
billions of users around the world.

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[SOUND] Google needs to process
millions of search queries per second.

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[SOUND] Target predicts purchasing
decisions of its customers.

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[SOUND] And

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PayPal uses big data to predict fraud
across millions of transactions.

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Big data is part of the world now, and

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rapidly becoming an expected
part of many businesses.

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Big data is becoming so
much more than merely large data sets.

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In today's world, it represents
an entire ecosystem of data sets,

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tools, and applications.

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This course that Jared and
I have put together for

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you, is intended to get you familiar with
the concepts, the problem spaces, and

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the overall ecosystem of big data.

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We won't be doing any coding
in this course, but we will be

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discussing the tools that are available,
and why you might want to use them.

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Let's take a quick break,
and then come back and

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explore some of the defining
characteristics of big data.