All language subtitles for 6 - What Is a Database English

af Afrikaans
ak Akan
sq Albanian
am Amharic
ar Arabic
hy Armenian
az Azerbaijani
eu Basque
be Belarusian
bem Bemba
bn Bengali
bh Bihari
bs Bosnian
br Breton
bg Bulgarian
km Cambodian
ca Catalan
ceb Cebuano
chr Cherokee
ny Chichewa
zh-CN Chinese (Simplified)
zh-TW Chinese (Traditional)
co Corsican
hr Croatian
cs Czech
da Danish
nl Dutch
en English
eo Esperanto
et Estonian
ee Ewe
fo Faroese
tl Filipino
fi Finnish
fy Frisian
gaa Ga
gl Galician
ka Georgian
de German
el Greek
gn Guarani
gu Gujarati
ht Haitian Creole
ha Hausa
haw Hawaiian
iw Hebrew
hi Hindi
hmn Hmong
hu Hungarian
is Icelandic
ig Igbo
id Indonesian
ia Interlingua
ga Irish
it Italian
ja Japanese
jw Javanese
kn Kannada
kk Kazakh
rw Kinyarwanda
rn Kirundi
kg Kongo
ko Korean
kri Krio (Sierra Leone)
ku Kurdish
ckb Kurdish (SoranĂ®)
ky Kyrgyz
lo Laothian
la Latin
lv Latvian
ln Lingala
lt Lithuanian
loz Lozi
lg Luganda
ach Luo
lb Luxembourgish
mk Macedonian
mg Malagasy
ms Malay
ml Malayalam
mt Maltese
mi Maori
mr Marathi
mfe Mauritian Creole
mo Moldavian
mn Mongolian
my Myanmar (Burmese)
sr-ME Montenegrin
ne Nepali
pcm Nigerian Pidgin
nso Northern Sotho
no Norwegian
nn Norwegian (Nynorsk)
oc Occitan
or Oriya
om Oromo
ps Pashto
fa Persian
pl Polish
pt-BR Portuguese (Brazil)
pt Portuguese (Portugal)
pa Punjabi
qu Quechua
ro Romanian
rm Romansh
nyn Runyakitara
ru Russian
sm Samoan
gd Scots Gaelic
sr Serbian
sh Serbo-Croatian
st Sesotho
tn Setswana
crs Seychellois Creole
sn Shona
sd Sindhi
si Sinhalese
sk Slovak
sl Slovenian
so Somali
es Spanish
es-419 Spanish (Latin American)
su Sundanese
sw Swahili
sv Swedish
tg Tajik
ta Tamil
tt Tatar
te Telugu
th Thai
ti Tigrinya
to Tonga
lua Tshiluba
tum Tumbuka
tr Turkish
tk Turkmen
tw Twi
ug Uighur
uk Ukrainian
ur Urdu
uz Uzbek
vi Vietnamese
cy Welsh
wo Wolof
xh Xhosa
yi Yiddish
yo Yoruba
zu Zulu
Would you like to inspect the original subtitles? These are the user uploaded subtitles that are being translated: 1 00:00:01,070 --> 00:00:04,980 ‫What is a database hold on a second. 2 00:00:05,330 --> 00:00:11,210 ‫Maybe you are a smarty pants and you know what a database is, but trust me, in this section you may 3 00:00:11,210 --> 00:00:13,630 ‫learn a thing or two that will surprise you. 4 00:00:13,760 --> 00:00:19,820 ‫So no matter what level of experience, just hang in there, promise we'll get to some really fun stuff. 5 00:00:20,300 --> 00:00:20,590 ‫You see. 6 00:00:21,080 --> 00:00:28,070 ‫I remember when I first learned about databases and Eskil, I couldn't understand how it was all connected 7 00:00:28,220 --> 00:00:29,180 ‫with other fields. 8 00:00:29,690 --> 00:00:36,560 ‫I would learn about web development or python or machine learning and had no idea how this school or 9 00:00:36,560 --> 00:00:39,550 ‫databases really related to those fields. 10 00:00:40,220 --> 00:00:46,340 ‫So I want us to always understand the big picture and connect the dots so that the things you learn 11 00:00:46,340 --> 00:00:51,620 ‫in this course, you understand why it is useful and how we can use what we learn to do. 12 00:00:51,620 --> 00:00:54,840 ‫Some really interesting things in the world of tech. 13 00:00:54,980 --> 00:00:57,500 ‫So what is a database? 14 00:00:58,340 --> 00:01:06,380 ‫A database is a collection of data and also a method for us to access and manipulate that data. 15 00:01:07,310 --> 00:01:09,230 ‫So let's think about the statement. 16 00:01:09,920 --> 00:01:12,880 ‫Data is everywhere, right? 17 00:01:13,250 --> 00:01:17,320 ‫Data is now the most valuable commodity in the world. 18 00:01:17,900 --> 00:01:25,550 ‫Companies that control data, companies that have a lot of data like Uber, like Alibaba, like Amazon, 19 00:01:25,730 --> 00:01:31,250 ‫like Facebook, like Google, are some of the most valuable companies in the world because they have 20 00:01:31,250 --> 00:01:31,820 ‫this data. 21 00:01:32,420 --> 00:01:36,590 ‫And every day in our world, we produce data. 22 00:01:36,770 --> 00:01:37,250 ‫Right. 23 00:01:37,850 --> 00:01:45,320 ‫Whether it's drones with footages or location data, mobile phone apps, maybe website and web pages, 24 00:01:45,500 --> 00:01:47,330 ‫even security cameras. 25 00:01:47,510 --> 00:01:49,300 ‫We even have autonomous cars. 26 00:01:49,310 --> 00:01:51,650 ‫All those things collect data. 27 00:01:51,950 --> 00:02:00,920 ‫And the crazy part is that it's estimated we produce 2.5 quintillion bytes of data every year. 28 00:02:01,280 --> 00:02:04,490 ‫And by the way, quintillion means this many zeros. 29 00:02:04,640 --> 00:02:05,690 ‫It's a lot of zeros. 30 00:02:06,700 --> 00:02:12,050 ‫More data is collected in the past two years than the entire human history. 31 00:02:12,910 --> 00:02:14,770 ‫So where does all this data go? 32 00:02:15,040 --> 00:02:16,980 ‫Does it just get stored in a notebook? 33 00:02:16,990 --> 00:02:19,290 ‫Does somebody with pen and paper write it down? 34 00:02:19,990 --> 00:02:20,370 ‫No. 35 00:02:20,380 --> 00:02:20,700 ‫Right. 36 00:02:20,860 --> 00:02:26,260 ‫And how can you really have that statement that more data has been generated in the last two years than 37 00:02:26,260 --> 00:02:28,130 ‫all of human history combined? 38 00:02:28,330 --> 00:02:34,270 ‫I mean, sure, there's more humans on Earth, but there's always been the same number of atoms in the 39 00:02:34,270 --> 00:02:34,930 ‫universe. 40 00:02:35,060 --> 00:02:37,750 ‫You can just create something out of nothing. 41 00:02:38,210 --> 00:02:44,560 ‫When we say that data is being created more and more, the idea is that we're capturing this data. 42 00:02:44,980 --> 00:02:49,270 ‫We're saving this data somewhere to be used in some way. 43 00:02:49,840 --> 00:02:52,600 ‫Data is something that we as humans create. 44 00:02:52,810 --> 00:02:57,990 ‫But without capturing that data or using it, it's completely useless. 45 00:02:58,570 --> 00:03:06,430 ‫We use oil to power cars, but if we don't extract that oil, if we don't use that oil, it's completely 46 00:03:06,520 --> 00:03:07,210 ‫useless. 47 00:03:08,020 --> 00:03:10,960 ‫So we need a way to capture this data. 48 00:03:11,350 --> 00:03:13,570 ‫And that's what databases do. 49 00:03:13,570 --> 00:03:16,900 ‫They capture this data for us so that we can use it. 50 00:03:17,770 --> 00:03:22,840 ‫And here's another crazy number, 40 for the digital universe. 51 00:03:22,840 --> 00:03:28,720 ‫That is, the data that we store is estimated to be about 44 zettabytes of data. 52 00:03:28,880 --> 00:03:29,680 ‫How many zeros? 53 00:03:30,310 --> 00:03:32,830 ‫Once again, lots and lots of zeros. 54 00:03:33,860 --> 00:03:36,320 ‫So all this data is being captured. 55 00:03:37,380 --> 00:03:44,190 ‫In a database without a database, we wouldn't be able to store this massive amount of data and more 56 00:03:44,190 --> 00:03:47,550 ‫importantly, we can do some useful things with this data. 57 00:03:48,240 --> 00:03:55,080 ‫All those things we saw like autonomous cars, Instagram, Facebook, Google, without data, none of 58 00:03:55,080 --> 00:03:55,950 ‫it would work. 59 00:03:56,580 --> 00:04:01,920 ‫So without a database, the ability to query a database, that is to ask database information about 60 00:04:01,920 --> 00:04:05,070 ‫its data, it would be impossible for us to do a lot of things. 61 00:04:05,200 --> 00:04:07,070 ‫But here is a secret. 62 00:04:07,590 --> 00:04:14,910 ‫We mentioned that a database is a collection of data, in a way, for us to access and manipulate that 63 00:04:14,910 --> 00:04:15,270 ‫data. 64 00:04:16,240 --> 00:04:23,560 ‫But the secret is that databases aren't anything special, they're just hardware and software, there's 65 00:04:23,560 --> 00:04:24,900 ‫just computers. 66 00:04:25,660 --> 00:04:32,470 ‫So a database, even though we always see this scary looking cylinders are just computers. 67 00:04:33,500 --> 00:04:40,340 ‫We see images like this all the time representing databases, but they're just computers, it's hardware 68 00:04:40,640 --> 00:04:41,450 ‫with software. 69 00:04:41,460 --> 00:04:47,690 ‫So that is hardware is the mechanical part and the software is the actual code on top that allows us 70 00:04:47,690 --> 00:04:50,230 ‫to collect and use the data really useful. 71 00:04:50,750 --> 00:04:57,740 ‫So in this course, what you'll see is that we do the first step, which is one, we install software 72 00:04:57,980 --> 00:05:02,090 ‫to turn our computer into a database so that we can all practice. 73 00:05:02,450 --> 00:05:08,030 ‫And two, we add data to this database that we create with this software, and then we're going to start 74 00:05:08,030 --> 00:05:16,430 ‫using it and analyzing it, because at the end of the day, a database is exactly this just a disk drive, 75 00:05:16,430 --> 00:05:20,420 ‫a way for us to store ones and zeros on a computer? 76 00:05:21,710 --> 00:05:28,280 ‫And the beautiful thing is that as long as we can install something, we have a computer, something 77 00:05:28,460 --> 00:05:35,090 ‫with memory that we can store memory in, and we have a machine, a computer, we can create a database 78 00:05:35,090 --> 00:05:41,020 ‫that is we can create a database, even on a mobile phone, on our desktops or on our laptops. 79 00:05:41,030 --> 00:05:42,790 ‫And that's what we're going to do in the course. 80 00:05:42,800 --> 00:05:46,430 ‫But when you see somebody having a database, that's all it means. 81 00:05:46,430 --> 00:05:53,330 ‫They have a computer somewhere in the world with software installed for it to store and manipulate that 82 00:05:53,330 --> 00:05:53,690 ‫data. 83 00:05:54,590 --> 00:05:56,660 ‫Let's take a break and I'll see you in the next video. 8303

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