Merge pull request #24 from zdj21jdz/master

Minor grammar fix for SQL section, added answer under MongoDB section
This commit is contained in:
Arie Bregman 2019-10-22 18:49:24 +03:00 committed by GitHub
commit 6e94108c0d
No known key found for this signature in database
GPG Key ID: 4AEE18F83AFDEB23

View File

@ -2314,6 +2314,11 @@ If you want to get "101" you should use the package "strconv" and replace <code>
<details> <details>
<summary>What is the difference between SQL and NoSQL?</summary><br><b> <summary>What is the difference between SQL and NoSQL?</summary><br><b>
The main difference is that SQL databases are structured (data is stored in the form of
tables with rows and columns - like an excel spreadsheet table) while NoSQL is
unstructured, and the data storage can vary depending on how the NoSQL DB is set up, such
as key-value pair, document-oriented, etc.
</b></details> </b></details>
<details> <details>
@ -2321,6 +2326,7 @@ If you want to get "101" you should use the package "strconv" and replace <code>
* Heterogeneous data which changes often * Heterogeneous data which changes often
* Data consistency and integrity is not top priority * Data consistency and integrity is not top priority
* Best if the database needs to scale rapidly
</b></details> </b></details>
<details> <details>
@ -2643,7 +2649,7 @@ Inner JOIN cat_food f <br>
ON c.Customer_ID = f.Customer_ID <br> ON c.Customer_ID = f.Customer_ID <br>
where c.Customer_ID in (Select Customer_ID from cat_food); where c.Customer_ID in (Select Customer_ID from cat_food);
Although this was a simple statement, the "with" clause really shines is when Although this was a simple statement, the "with" clause really shines when
a complex query needs to be run on a table before joining to another. With statements are nice, a complex query needs to be run on a table before joining to another. With statements are nice,
because you create a pseudo temp when running your query, instead of creating a whole new table. because you create a pseudo temp when running your query, instead of creating a whole new table.