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
Can't find what you're looking for?
Get subtitles in any language from opensubtitles.com, and translate them here.