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- 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”
[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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