1 00:00:00,450 --> 00:00:02,160 Hey, welcome to the next section. 2 00:00:02,370 --> 00:00:05,700 So I'd like to start off this section by asking you a question. 3 00:00:05,700 --> 00:00:10,650 It's not really a quiz or anything, but I just want to know why there's a chicken on my desk. 4 00:00:11,160 --> 00:00:15,860 And in the meantime, Blue and I are here to talk to you about the next section. 5 00:00:15,870 --> 00:00:20,070 So we're continuing on our trend of working with multiple tables. 6 00:00:20,070 --> 00:00:23,280 We saw a one to many relationship in the last section. 7 00:00:23,280 --> 00:00:27,690 Now we're moving on to a many to many relationship, and I save this one for second. 8 00:00:27,690 --> 00:00:29,010 It's a little more complex. 9 00:00:29,010 --> 00:00:30,390 Don't be afraid. 10 00:00:30,720 --> 00:00:33,270 It's still very doable and very important. 11 00:00:33,360 --> 00:00:34,110 I keep saying that. 12 00:00:34,110 --> 00:00:38,820 Very useful to be able to have multiple tables with the many to many relationship. 13 00:00:38,820 --> 00:00:45,630 So we're going to focus on this section on implementing a schema for TV shows with reviewers and the 14 00:00:45,630 --> 00:00:47,160 reviews that they write. 15 00:00:47,160 --> 00:00:53,190 So think of like, I don't know, Breaking Bad and American Horror Story are two different shows will 16 00:00:53,190 --> 00:00:58,200 have a bunch of them I'll give you data and then ten different human reviewers, maybe a cat or two 17 00:00:58,200 --> 00:00:58,740 as well. 18 00:00:58,740 --> 00:01:03,540 And these reviewers can go and assign ratings to every show. 19 00:01:03,630 --> 00:01:07,620 So I could say this is a ten, that's a nine, that's a four, whatever. 20 00:01:08,010 --> 00:01:09,300 So that's what we're going to implement. 21 00:01:09,300 --> 00:01:12,270 That sort of a schema, which is a many to many relationship. 22 00:01:12,310 --> 00:01:13,470 Hey, hey, hey, hey. 23 00:01:13,980 --> 00:01:14,760 Stop eating that. 24 00:01:16,140 --> 00:01:16,860 Eat the chicken. 25 00:01:17,250 --> 00:01:19,140 So, okay, where was I? 26 00:01:20,460 --> 00:01:21,270 Exercises. 27 00:01:21,270 --> 00:01:23,910 Yes, this section is all exercise. 28 00:01:23,910 --> 00:01:30,000 Basically, the way that I decided to do it is to go through not only building the schema, but also 29 00:01:30,000 --> 00:01:35,220 asking common questions about the data and performing common operations and the joints we want to perform 30 00:01:35,220 --> 00:01:36,900 basically as we go. 31 00:01:36,900 --> 00:01:41,010 So the whole thing acts as a bit of a code long slash exercise. 32 00:01:41,520 --> 00:01:43,470 So hopefully you like television. 33 00:01:43,470 --> 00:01:49,410 If you don't, then this will be a great insight, great window into the world of television for you. 34 00:01:49,410 --> 00:01:53,640 But more importantly, we're talking about joints again, working with multiple tables. 35 00:01:53,640 --> 00:01:54,210 All right.