All language subtitles for 002 Power BI Front-End vs. Back-End_en

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
fr French Download
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 (Soranî)
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 00:00:00,000 --> 00:00:02,000 Presenter: Before we jump into the Query Editor, 2 00:00:02,000 --> 00:00:03,000 I want to quickly talk about 3 00:00:03,000 --> 00:00:06,000 the different sides of Power BI. 4 00:00:06,000 --> 00:00:11,000 Now, Power BI essentially has two distinct environments, 5 00:00:11,000 --> 00:00:13,000 a front-end and a back-end. 6 00:00:13,000 --> 00:00:17,000 And the front-end of Power BI includes the data, 7 00:00:17,000 --> 00:00:19,000 the model, and report views, 8 00:00:19,000 --> 00:00:19,000 and it's where most of 9 00:00:19,000 --> 00:00:22,000 the modeling and analysis happens. 10 00:00:23,000 --> 00:00:24,000 The back-end of Power BI includes 11 00:00:24,000 --> 00:00:26,000 the Power Query Editor 12 00:00:26,000 --> 00:00:28,000 and this is where the tools live 13 00:00:28,000 --> 00:00:30,000 that allow you to extract raw data, 14 00:00:30,000 --> 00:00:33,000 transform it into a usable form, 15 00:00:33,000 --> 00:00:35,000 and then load it into the front-end. 16 00:00:35,000 --> 00:00:37,000 So digging a bit deeper, 17 00:00:37,000 --> 00:00:40,000 the back-end tools really allow you 18 00:00:40,000 --> 00:00:42,000 to connect to and extract data 19 00:00:42,000 --> 00:00:45,000 from platforms using pre-built connectors. 20 00:00:45,000 --> 00:00:47,000 You can use Profile and QA tools 21 00:00:47,000 --> 00:00:49,000 to help explore the data 22 00:00:49,000 --> 00:00:49,000 and make sure that 23 00:00:49,000 --> 00:00:52,000 it's properly cleaned prior to analysis. 24 00:00:52,000 --> 00:00:54,000 You can transform and shape tables 25 00:00:54,000 --> 00:00:56,000 to add new features, 26 00:00:56,000 --> 00:00:58,000 modify values, group records, 27 00:00:58,000 --> 00:01:00,000 or sort and transform columns. 28 00:01:00,000 --> 00:01:02,000 You can also use merge and append tools 29 00:01:02,000 --> 00:01:05,000 to join the queries together prior 30 00:01:05,000 --> 00:01:07,000 to loading it into the front-end data model. 31 00:01:07,000 --> 00:01:09,000 And then lastly here, Power Query allows you 32 00:01:09,000 --> 00:01:12,000 to perform some advanced transformations 33 00:01:12,000 --> 00:01:14,000 through writing new M code 34 00:01:14,000 --> 00:01:17,000 or by customizing the M code that's been generated. 35 00:01:17,000 --> 00:01:19,000 So just as a heads up here, 36 00:01:19,000 --> 00:01:21,000 we really won't be covering these types 37 00:01:21,000 --> 00:01:24,000 of advanced transformations within this course. 38 00:01:24,000 --> 00:01:26,000 Now the front-end of Power BI 39 00:01:26,000 --> 00:01:28,000 is all about building data models 40 00:01:28,000 --> 00:01:30,000 by creating table relationships 41 00:01:30,000 --> 00:01:33,000 between primary and foreign keys. 42 00:01:33,000 --> 00:01:34,000 And once we have that set up, 43 00:01:34,000 --> 00:01:36,000 we can add calculated measures 44 00:01:36,000 --> 00:01:39,000 and columns to help visualize the data using 45 00:01:39,000 --> 00:01:42,000 a language called Data Analysis Expressions or DAX. 46 00:01:42,000 --> 00:01:44,000 After that, we wanna design 47 00:01:44,000 --> 00:01:47,000 and build reports that really visualize 48 00:01:47,000 --> 00:01:48,000 the data in our model 49 00:01:48,000 --> 00:01:51,000 and create interactive dynamic dashboards. 50 00:01:51,000 --> 00:01:54,000 And then finally, we want to be able to publish 51 00:01:54,000 --> 00:01:57,000 and collaborate and share these Power BI reports 52 00:01:57,000 --> 00:02:00,000 with other people using Power BI Service. 53 00:02:00,000 --> 00:02:02,000 So that said, the focus 54 00:02:02,000 --> 00:02:04,000 of this section is really going to be 55 00:02:04,000 --> 00:02:08,000 on the Query Editor or the back-end of Power BI. 56 00:02:08,000 --> 00:02:10,000 And up next, we're gonna dig into 57 00:02:10,000 --> 00:02:12,000 some of the types of data connectors 58 00:02:12,000 --> 00:02:14,000 and connect to our first data source. 4274

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