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These are the user uploaded subtitles that are being translated: 1 00:00:00,640 --> 00:00:07,480 All right, everybody, it's exercise time, and in this exercise, we're going to build Amazon or at 2 00:00:07,480 --> 00:00:11,320 least understand how Amazon uses databases. 3 00:00:11,920 --> 00:00:15,010 Now, I want to take us back all the way into the 90s. 4 00:00:15,340 --> 00:00:19,730 That is Amazon before Jeff Bezos look like a superhero. 5 00:00:19,750 --> 00:00:22,130 We're talking Jeff Bezos in the 90s. 6 00:00:22,780 --> 00:00:25,000 Now, imagine you're starting Amazon. 7 00:00:25,160 --> 00:00:26,440 You just started. 8 00:00:26,680 --> 00:00:29,140 You're starting to deliver some books. 9 00:00:29,150 --> 00:00:31,500 You are getting your first customers. 10 00:00:31,540 --> 00:00:34,810 If you're a Jeff Bezos, what's your first thing that you're going to do? 11 00:00:35,710 --> 00:00:44,650 Well, maybe you will use a notebook, a pen and paper and say, Joe just ordered a Harry Potter book. 12 00:00:44,680 --> 00:00:51,010 I'm going to write down his name, grab their credit card information or check and grab their address 13 00:00:51,010 --> 00:00:52,780 so that I can ship them that book. 14 00:00:52,970 --> 00:01:00,010 Now, eventually, this notebook, pen and paper is going to overwhelm Jeff and he decides, you know 15 00:01:00,010 --> 00:01:01,930 what, let's use Excel. 16 00:01:01,960 --> 00:01:03,140 Let's use a spreadsheet. 17 00:01:03,490 --> 00:01:06,310 And Jeff starts using a spreadsheet. 18 00:01:07,210 --> 00:01:13,860 And now look at that, things look a lot better, a lot cleaner instead of pen and paper on the computer. 19 00:01:14,200 --> 00:01:16,260 Now Jeff has some orders. 20 00:01:16,660 --> 00:01:18,550 We have Andre myself. 21 00:01:18,550 --> 00:01:20,140 I ordered a toy duck. 22 00:01:20,140 --> 00:01:21,220 I wanted two of them. 23 00:01:21,220 --> 00:01:23,110 And this is my address now. 24 00:01:23,110 --> 00:01:23,910 My real address. 25 00:01:23,920 --> 00:01:24,970 Don't try and send me mail. 26 00:01:25,270 --> 00:01:29,120 We have Mo, who likes candy and just bought 100 candies. 27 00:01:29,140 --> 00:01:29,920 Wow, that's a lot. 28 00:01:30,310 --> 00:01:34,270 Bruno, again, has perfect hair and he buys a lot of hair gel. 29 00:01:34,270 --> 00:01:37,770 And then finally, Sally is buying a Harry Potter book. 30 00:01:38,530 --> 00:01:39,030 Awesome. 31 00:01:39,190 --> 00:01:41,950 So Jeff is keeping tracks of orders. 32 00:01:41,950 --> 00:01:46,600 He knows when to send those items because he has the address. 33 00:01:46,600 --> 00:01:49,120 He has a quantity, he has the name. 34 00:01:49,570 --> 00:01:51,160 Everything is great. 35 00:01:51,760 --> 00:01:53,830 But then comes a problem. 36 00:01:54,220 --> 00:01:57,070 The Excel sheet gets a little bit bigger. 37 00:01:57,640 --> 00:02:01,480 And now we have something confusing that Andre has done. 38 00:02:01,900 --> 00:02:08,170 You see, I wanted to get some cool glasses, so I order some cool glasses and there you go, order 39 00:02:08,170 --> 00:02:08,500 them. 40 00:02:08,500 --> 00:02:11,710 But once I see them, I didn't really like them. 41 00:02:11,710 --> 00:02:13,600 I don't think they were as cool as I thought. 42 00:02:13,600 --> 00:02:22,480 So while I, I decided to return them and a week later I decided, you know what, I wasn't thinking 43 00:02:22,480 --> 00:02:22,750 straight. 44 00:02:22,750 --> 00:02:26,080 Those cool glasses, they were actually very, very cool. 45 00:02:26,230 --> 00:02:31,180 So I decide to order another pair of glasses, but oh, just a heads up. 46 00:02:31,180 --> 00:02:33,790 I actually moved to Japan in the meantime. 47 00:02:34,240 --> 00:02:36,100 So Jeff looking is this is saying. 48 00:02:36,100 --> 00:02:36,870 Hold on, hold on. 49 00:02:37,060 --> 00:02:37,750 Well, OK. 50 00:02:37,750 --> 00:02:39,700 So is this the same Andre? 51 00:02:39,700 --> 00:02:41,680 There's two different addresses. 52 00:02:41,680 --> 00:02:47,230 There's a minus one here and in his head has to keep track of all these things, all these changes, 53 00:02:47,230 --> 00:02:50,020 and imagine having more and more rows. 54 00:02:50,020 --> 00:02:54,430 Imagine this Excel sheet getting bigger and bigger and bigger, more information, more data. 55 00:02:55,150 --> 00:02:57,160 Things start to get confusing. 56 00:02:57,880 --> 00:03:01,870 And this is why databases exist. 57 00:03:02,740 --> 00:03:09,010 Instead of this, let's imagine a better system that Jeff implements now for you. 58 00:03:09,220 --> 00:03:14,720 I want you to go to this length that will link in this lecture and try this out. 59 00:03:15,010 --> 00:03:17,410 This is an interactive playground. 60 00:03:17,770 --> 00:03:22,220 This is a website that actually has a database already as part of it. 61 00:03:22,330 --> 00:03:28,660 You can see here that this is your database and it has different tables with different records. 62 00:03:28,670 --> 00:03:30,220 So there's ninety one customers. 63 00:03:30,220 --> 00:03:31,720 There's eight categories. 64 00:03:32,380 --> 00:03:35,170 And there's also a playground for you to run. 65 00:03:35,180 --> 00:03:36,280 Ask all statements. 66 00:03:36,520 --> 00:03:41,740 Now, we haven't really learned about school yet, so this might be gibberish for you, but I just want 67 00:03:41,740 --> 00:03:43,600 you to click run school. 68 00:03:43,600 --> 00:03:47,680 And by the way, your school statement here might be different than mine. 69 00:03:47,710 --> 00:03:48,370 That doesn't matter. 70 00:03:48,370 --> 00:03:49,450 Just click run. 71 00:03:50,710 --> 00:03:59,320 This is essentially what a database does, we kind of get the same results as a spreadsheet, but we 72 00:03:59,320 --> 00:04:03,730 use ask you all statements and we grab information that we need. 73 00:04:04,090 --> 00:04:06,850 But it's not just one big Excel file, right? 74 00:04:07,030 --> 00:04:09,880 There's different pieces of data. 75 00:04:11,340 --> 00:04:18,990 So if I go to customers, I see all my customers, each customer has an ID, has different columns with 76 00:04:18,990 --> 00:04:24,330 important information like address, like the contact name if we go to orders. 77 00:04:26,240 --> 00:04:30,770 We have some order date, we have some customer ID, so who ordered the orders? 78 00:04:31,810 --> 00:04:35,350 If we go to products, we see all the products that we have. 79 00:04:36,790 --> 00:04:41,780 And all of these are grabbed using school statements. 80 00:04:42,790 --> 00:04:48,430 Now, I know this is still confusing, might not understand what the difference between this and an 81 00:04:48,430 --> 00:04:54,550 Excel spreadsheet is, but before we do, before I go into the next video and show you the exact difference 82 00:04:54,550 --> 00:05:02,980 and why this system might be more beneficial to Jeff, I want you to play around over here, start clicking 83 00:05:02,980 --> 00:05:09,160 on some of these categories around the school commands and just kind of understand what we're trying 84 00:05:09,160 --> 00:05:09,520 to do. 85 00:05:09,730 --> 00:05:17,650 Essentially, when we select staff from something, we get some data, see if we can modify this information 86 00:05:17,650 --> 00:05:24,280 right over here to perhaps match different databases and find out about our Amazon store. 87 00:05:25,150 --> 00:05:30,400 So play around, even though you have no idea maybe what these statements do, and in the next video, 88 00:05:30,400 --> 00:05:33,910 we're going to dive deeper into Jeff's Amazon database. 7998

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