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Introduction to Big Data

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Welcome

2:30 with Craig Dennis and Jared Smith

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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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