adding properties

Career/Database - SQL/Airflow Dags.md

@@ -1 +1,6 @@
+---
+note type: note
+date: 2026-06-03
+done: true
+---
 A DAG (short for directed acyclic graphs) is a model that encapsulates everything needed to execute a workflow. [See this](https://airflow.apache.org/docs/apache-airflow/stable/core-concepts/dags.html)

Career/Database - SQL/Airflow Tasks.md

@@ -1,3 +1,10 @@
+---
+note type:
+  - note
+  - database
+date: 2026-06-03
+done: true
+---
 A task in the context of airflow is the basic unit of execution. They are arranged into [[Airflow Dags]] and then have upstream and downstream dependencies set between them in order to express the order in which they should be run.
 
 There are three kinds of tasks:

Career/Database - SQL/Airflow.md

@@ -1,3 +1,8 @@
+---
+note type: database
+date: 2026-06-03
+done: true
+---
 # xcom
 
 XComs stands for cross-communications, and as the name suggests, it allows [[Airflow Tasks]] to talk to each other (because by default, tasks are entirely isolated and can run on seperate machines).

Career/Database - SQL/Database MOC.md

@@ -1,2 +1,9 @@
+---
+note type:
+  - moc
+  - database
+date: 2026-06-03
+done: true
+---
 -  [[Postgres]]
 -  [[Airflow]]

Career/Database - SQL/Database Permissions, Roles, and Accounts.md

@@ -1,3 +1,10 @@
+---
+note type:
+  - database
+  - note
+date: 2026-06-03
+done: true
+---
 # Introduction
 
 Database security is a crucial part of database administration. It ensures that only authorised users can access, modify, or manage data. Three core concepts used to control access are:

Career/Database - SQL/Postgres.md

@@ -1,3 +1,10 @@
+---
+note type:
+  - database
+  - note
+date: 2026-06-03
+done: true
+---
 ``` bash
 psql -h 82.18.104.48 -p 5432 -U zaine -d org_web
 ```

Career/Database - SQL/SQL Joins.md

@@ -1,10 +1,18 @@
+---
+note type:
+  - database
+  - theory
+date: 2026-06-03
+done:
+---
+
 # The SQL JOIN Clause
 
 The JOIN clause is used to combine rows from two or more tables, based on a related column between them.
 
 Here are the different types of JOINs in SQL:
 
-****(INNER) JOIN****: Returns only rows that have matching values in both tables
-****LEFT (OUTER) JOIN****: Returns all rows from the left table, and only the matched rows from the right table
-****RIGHT (OUTER) JOIN****: Returns all rows from the right table, and only the matched rows from the left table
-****FULL (OUTER) JOIN****: Returns all rows when there is a match in either the left or right table
+- (INNER) JOIN: Returns only rows that have matching values in both tables
+- LEFT (OUTER) JOIN: Returns all rows from the left table, and only the matched rows from the right table
+- RIGHT (OUTER) JOIN: Returns all rows from the right table, and only the matched rows from the left table
+- FULL (OUTER) JOIN: Returns all rows when there is a match in either the left or right table