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+# Sources of error
+* Bad data coming in
+* Poor application logic
+* Failed database operations (outages, network errors, etc.)
+* Malicious user activity
+
+## Data Coming in
+* Automated integrity checks
+* The human factor
+
+## Application logic
+* Risk reduction - normalization
+
+## Failed operations
+* Saving database state - snapshots
+* Blocks of commands - transactions
+
+## User actions
+* User privileges and security
+
+#  Integrity and the risk of errors
+## Integrity
+Specify PRIMARY or UNIQUE KEY
+* Ensures every row is identifiable
+* Will throw an error if any change will create a duplicate
+
+Specify FOREIGN KEY
+* Ensures every reference is maintainable
+* Will throw an error if any change will create a reference to a non-existent key
+* Will propagate changes to the parent table
+
+SPECIFY CHECK
+* Ensures column data is valid
+
+Integrity checks will not check for truth
+
+## Consistency and Abnormalities
+The case for normalization
+
+![Diagram](Files/Image1.png)
+
+## Non-loss decomposition
+
+A decomposition of a single relation into two or more separate relations such that a join on separate relations reconstructs the original.
+
+## Functional dependency
+
+An attribute is said to be functionally dependent on another attribute X in the same relation if, for any legal value of X, there is exactly one associate value of Y.
+
+![Diagram](Files/Image2.png)
+
+Functional dependency works only in one direction
+We can see that Michael Douglas as Actor 1 is functionally dependent on Ant-Man (Movie), but Ant-Man is not functionally dependent on Michael Douglas being Actor 1.
+
+![Diagram](Files/Image3.png)
+Main dependencies
+
+![Diagram](Files/Image4.png)
+Other dependencies in the example
+
+# Normal forms
+
+## First normal form (1NF)
+The table is a relation. All of its attributes are scalar values (no column contains an array or an object).
+
+## Heath's Theorem
+A relation with attribute A, B and C with a functional dependency A->B is equal to the join of {A, B} and {A, C}
+
+In other words, if A->B, B can be moved into a look-up table.
+
+## Second normal form (2NF)
+The table is in 1NF. Every non-key attribute is **irreducibly** dependent on the primary key (no sub structures)
+
+![Diagram](Files/Image5.png)
+
+We move the depencency to a another (look-up) table.
+
+![Diagram](Files/Image6.png)
+
+## Transitive dependency
+
+A, B and C are attributes or sets of in a relation, with functional dependencies:
+
+A->B, B->C, A->C
+A->C is defined as **transitive**, because it is implied by A->B and B->C
+
+## Third normal form (3NF)
+
+The table is 2NF. Every non-key attribute is non-transitively (directly) dependent on the primary key.
+
+![Diagram](Files/Image7.png)
+
+We can see that every time the Distributor Walt Disney comes up, the address will come up repeatedly.
+
+That's why we create another table for it.
+
+![Diagram](Files/Image8.png)
+
+## Boyce-Codd normal form (BCNF)
+
+Created after the first 3NF because Codd found it was not quite as tight.
+
+The table is 3NF. All non-trivial functional dependencies depend on a superkey.
+
+## Multi-valued dependency
+
+A and B are two non-overlapping sets of attributes in a relation. There is a multi-valued dependency if the set of values for B depends only on the values of A.
+
+A->>B is similar to a functional dependency, but with multiple options for B.
+
+## FourthnNormal form (4NF)
+The table is 3NF. For every multi-valued dependency A->>B, A is a candidate key.
+
+![Diagram](Files/Image9.png)
+
+We can see a book is dependent on the module but there are multiple values of Book for one Module.
+
+![Diagram](Files/Image10.png)
+
+We can see we created a new table using A (Module) as the primary key.
+
+# Normalisation reduces the risk of anomalies
+
+Mostly by reducing repetition
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