All language subtitles for 31 - Tables English

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Would you like to inspect the original subtitles? These are the user uploaded subtitles that are being translated: 1 00:00:00,680 --> 00:00:04,340 ‫What is a table and what is a table in the relational model? 2 00:00:05,120 --> 00:00:11,150 ‫Well, we've looked at multiple, multiple examples of how to break down data. 3 00:00:11,450 --> 00:00:18,290 ‫And each and every time we've broken down data, we've broken them down into these entities or objects 4 00:00:18,320 --> 00:00:26,420 ‫or concepts, whatever you want to call them, be it a user, a student, a teacher, and a table is 5 00:00:26,420 --> 00:00:29,090 ‫a representation of that object. 6 00:00:29,750 --> 00:00:34,310 ‫So here we have the object user and we have a table. 7 00:00:35,030 --> 00:00:37,880 ‫And when we create a table, we give it a name. 8 00:00:38,060 --> 00:00:40,010 ‫That name is of that object. 9 00:00:40,100 --> 00:00:41,690 ‫So we're going to call it user. 10 00:00:42,630 --> 00:00:47,070 ‫So a table has a name that's the first and foremost important thing we need to know. 11 00:00:47,160 --> 00:00:52,190 ‫Each table has a name and that name relates to the concept of the data we're going to store. 12 00:00:52,440 --> 00:00:55,740 ‫Think of an Excel sheet and giving the Excel sheet a name. 13 00:00:56,430 --> 00:01:01,710 ‫And then when we look at a table, we can see that we have these things at the top called columns. 14 00:01:02,190 --> 00:01:05,210 ‫And each column represents a specific type of data. 15 00:01:05,970 --> 00:01:09,890 ‫We have ID here, which is an incrementing number. 16 00:01:09,930 --> 00:01:12,530 ‫It goes up one, two, three, four or five. 17 00:01:12,810 --> 00:01:17,280 ‫Then we have first name that contains the name of the user, the first name and last name. 18 00:01:17,430 --> 00:01:23,910 ‫And then we have their gender, male, female and so forth, and then we have their date of birth. 19 00:01:25,000 --> 00:01:33,490 ‫Which follows a specific year, month, day, so what we can see here is that a table has a name and 20 00:01:33,490 --> 00:01:38,880 ‫a table has columns that store specific types of data, kind of like an Excel sheet, but an Excel sheet. 21 00:01:38,890 --> 00:01:40,420 ‫The names of the columns are already named. 22 00:01:40,600 --> 00:01:45,990 ‫If you've seen Excel, you can see A, B, C, D here we get to choose the names. 23 00:01:46,150 --> 00:01:50,460 ‫So that's very important because we're specifying what type of data we want to store in each column. 24 00:01:51,070 --> 00:01:58,360 ‫And then here next to the columns, we have these rows also like an Excel sheet, these rows of data 25 00:01:58,690 --> 00:02:02,110 ‫and each and every row is a singular piece of data. 26 00:02:02,350 --> 00:02:07,060 ‫It represents one single piece of data for that table. 27 00:02:07,720 --> 00:02:14,350 ‫So here you can see McGeeney, me, the instructor, and you can see my date of birth, my sex and my 28 00:02:14,350 --> 00:02:15,340 ‫ID as a user. 29 00:02:16,360 --> 00:02:22,150 ‫That is one piece of data and that data is split up into columns that represent each and every piece. 30 00:02:23,100 --> 00:02:24,390 ‫Very, very important. 31 00:02:25,320 --> 00:02:30,390 ‫So here we can see the relationship between what a table is and what an Excel sheet is, like I said, 32 00:02:31,080 --> 00:02:36,900 ‫you can see over here every sheet has a name, kind of like a table, has a name, and every sheet has 33 00:02:36,900 --> 00:02:39,390 ‫columns, A, B, C, D, E, F. 34 00:02:39,720 --> 00:02:44,910 ‫Kind of like our table has columns, but our columns are more specific. 35 00:02:44,910 --> 00:02:52,020 ‫We are actually saying what we want to store in each and every column where in Excel the columns are 36 00:02:52,020 --> 00:02:58,260 ‫generic, they're pre named, so to speak, so that it doesn't matter what data you put in here, it's 37 00:02:58,260 --> 00:02:59,610 ‫going to accept any type of data. 38 00:02:59,760 --> 00:03:02,700 ‫You just know that your column name is A, B or C. 39 00:03:03,710 --> 00:03:09,410 ‫You can go a bit farther and excel and give specific columns at row one, you could put first name here, 40 00:03:09,410 --> 00:03:13,580 ‫last name here, date of birth here, just so you know what's going to be in these columns. 41 00:03:13,580 --> 00:03:15,340 ‫But you you would lose a row. 42 00:03:16,340 --> 00:03:24,050 ‫But that being said, the relationship between the two is very close, except in the relational model, 43 00:03:24,530 --> 00:03:28,480 ‫a table has much more nuance. 44 00:03:28,520 --> 00:03:29,900 ‫What do I mean by nuance? 45 00:03:30,230 --> 00:03:32,160 ‫There's a lot more details here. 46 00:03:32,360 --> 00:03:37,200 ‫We're very, very, very specific in what we want to store and how we want to store it. 47 00:03:37,940 --> 00:03:44,390 ‫So now that we know that, let's take a closer look at what a column is and how that gets defined. 5161

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