Afrikaans
Akan
Albanian
Amharic
Arabic
Armenian
Azerbaijani
Basque
Belarusian
Bemba
Bengali
Bihari
Bosnian
Breton
Bulgarian
Cambodian
Catalan
Cebuano
Cherokee
Chichewa
Chinese (Simplified)
Chinese (Traditional)
Corsican
Croatian
Czech
Danish
Dutch
English
Esperanto
Estonian
Ewe
Faroese
Filipino
Finnish
Frisian
Ga
Galician
Georgian
German
Greek
Guarani
Gujarati
Haitian Creole
Hausa
Hawaiian
Hebrew
Hindi
Hmong
Hungarian
Icelandic
Igbo
Indonesian
Interlingua
Irish
Italian
Japanese
Javanese
Kannada
Kazakh
Kinyarwanda
Kirundi
Kongo
Korean
Krio (Sierra Leone)
Kurdish
Kurdish (Soranรฎ)
Kyrgyz
Laothian
Latin
Latvian
Lingala
Lithuanian
Lozi
Luganda
Luo
Luxembourgish
Macedonian
Malagasy
Malay
Malayalam
Maltese
Maori
Marathi
Mauritian Creole
Moldavian
Mongolian
Myanmar (Burmese)
Montenegrin
Nepali
Nigerian Pidgin
Northern Sotho
Norwegian
Norwegian (Nynorsk)
Occitan
Oriya
Oromo
Pashto
Persian
Polish
Portuguese (Brazil)
Portuguese (Portugal)
Punjabi
Quechua
Romanian
Romansh
Runyakitara
Russian
Samoan
Scots Gaelic
Serbian
Serbo-Croatian
Sesotho
Setswana
Seychellois Creole
Shona
Sindhi
Sinhalese
Slovak
Slovenian
Somali
Spanish
Spanish (Latin American)
Sundanese
Swahili
Swedish
Tajik
Tamil
Tatar
Telugu
Thai
Tigrinya
Tonga
Tshiluba
Tumbuka
Turkish
Turkmen
Twi
Uighur
Ukrainian
Urdu
Uzbek
Vietnamese
Welsh
Wolof
Xhosa
Yiddish
Yoruba
Zulu
0 Hi and welcome back. 1
Till now we have been retrieving data from a single table, so although we had three tables, sales, customer 2
and product at a time in a query, we got data from only one of these tables. 3
But there is a lot of information that we can get if we could somehow combine the information in these 4
tables. 5
For example, the sales table has information about each sale transaction. 6
And the product table has information about the product. 7
We can combine these two tables. 8
To find out which category of product is having, how much sales. 9
And I'm sure that you can imagine how this kind of information will be helpful in making business decisions. 10
So this is achieved by joining that is combining information from multiple tables. 11
So joining the data will be covered in the first part of the module. 12
The next part is on subqueries. Subqueries are used to do multiple levels of analysis in a single 13
query. 14
So basically in a single query, as we have already seen, that we can perform certain data operations 15
and we can get first level of analysis done. 16
Using subquery, you can use the output of this first query that is the result from the first level 17
analysis as an input and you can perform next level of operations using this output as your input. 18
So you will understand how exactly this is done when we cover this in detail in the second part of this, 19
module. 20
Then we talk about views and indexes. 21
Views are virtual tables built on top of the original database, and these are used for saving space 22
and to give limited access of our data to someone else. 23
Indexes are used to improve the retrieval speed from our database. 24
So views and indexes will be covered in the last part of the module. 25
These are some of the advanced concepts of SWL which we are going to cover in this module, but do 26
not worry, just follow the lectures and keep practicing side by side. 27
I am sure that you will not face any difficulty in this part too. So let's do it and I'll see you in 28
the next video.
Can't find what you're looking for?
Get subtitles in any language from opensubtitles.com, and translate them here.