All language subtitles for 15 - What Is SQL English

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Would you like to inspect the original subtitles? These are the user uploaded subtitles that are being translated: 1 00:00:00,300 --> 00:00:05,900 ‫All right, so now we're getting to the core of the course, what is askew? 2 00:00:05,910 --> 00:00:09,960 ‫Well, and there may be a lot of questions surrounding what a school is. 3 00:00:10,930 --> 00:00:17,270 ‫Well, school is a language that we will be using to talk to our databases. 4 00:00:17,830 --> 00:00:22,660 ‫It's a programming language and a programming language, in essence, is a set of instructions that 5 00:00:22,660 --> 00:00:28,660 ‫we are using to talk to a system to get a specific output and output being an answer. 6 00:00:28,870 --> 00:00:30,910 ‫In this case, we're asking for data. 7 00:00:31,660 --> 00:00:34,930 ‫And with a school, we are mainly talking to databases. 8 00:00:35,620 --> 00:00:39,970 ‫Now, a database is nothing more than a structured set of data. 9 00:00:40,960 --> 00:00:44,890 ‫Now, you may ask yourself, what kind of structure are we talking about here, right? 10 00:00:44,910 --> 00:00:47,830 ‫There are different structures that you could basically apply to data. 11 00:00:48,130 --> 00:00:52,960 ‫Well, heck, we could take a notepad and we could write a book in there, or we could take an Excel 12 00:00:52,960 --> 00:00:54,720 ‫sheet and make a personal budget. 13 00:00:55,210 --> 00:01:00,340 ‫And all of these ways of storing data are your own structure, right? 14 00:01:00,400 --> 00:01:02,230 ‫Like you determine in a notepad. 15 00:01:02,500 --> 00:01:03,720 ‫This is my headline. 16 00:01:03,760 --> 00:01:04,660 ‫This is my body. 17 00:01:04,660 --> 00:01:05,770 ‫This is my paragraph. 18 00:01:05,770 --> 00:01:08,710 ‫In an Excel sheet, you can say these are my columns, these are my rows. 19 00:01:09,080 --> 00:01:10,930 ‫This is how I'm going to put the data in here. 20 00:01:11,110 --> 00:01:17,320 ‫But when we go off to database country, we're looking at these huge companies like Amazon and Microsoft 21 00:01:17,320 --> 00:01:23,500 ‫and all of these big corporations that are basically helping out millions and millions and millions 22 00:01:23,500 --> 00:01:24,040 ‫of people. 23 00:01:24,610 --> 00:01:29,830 ‫And when you have that much data, you can't just go into a flat file or an Excel sheet and store that 24 00:01:29,830 --> 00:01:30,430 ‫much data. 25 00:01:30,910 --> 00:01:34,210 ‫You need a larger system and a database. 26 00:01:34,660 --> 00:01:37,130 ‫In essence, is that larger system? 27 00:01:37,510 --> 00:01:42,700 ‫Now, what determines, like, how we're going to store data in a database and what makes a database? 28 00:01:42,700 --> 00:01:42,960 ‫Right. 29 00:01:43,270 --> 00:01:45,220 ‫Well, there are different models you can follow. 30 00:01:45,220 --> 00:01:50,320 ‫And throughout the course, we're going to talk about these different models, mainly focusing on one. 31 00:01:51,410 --> 00:01:56,720 ‫And Eskil is going to be the language that we're going to be utilizing to talk to the database, to 32 00:01:56,720 --> 00:02:04,970 ‫pull data, to insert data and so forth, and when we use a school, we are going to be writing statements, 33 00:02:05,090 --> 00:02:09,750 ‫statements, being instructions that we're going to give to the database to give us back data. 34 00:02:10,430 --> 00:02:11,960 ‫These are called queries. 35 00:02:12,560 --> 00:02:16,760 ‫Now, let's dive a bit deeper into what a query exactly is. 3597

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