1. Intro to SQL Databases
10985
Tom Vorves

2. Create Table
Insert Into Customers (CustomerID, Name, DateOfBirth, Address) Values (1, "Joe", #2/4/2002#, "123 North Street")

3. Prep for class
Log into your lab computer Go to:
Open your courseware Go to:
NKMZ-LICP-YPMY-HGZB
PJQF-LXSD-TNGD-EJNT
HSIJ-EXMQ-NNJQ-PAQG
Student
Primary
Password
Anderson, Manyvanh
Zaq12345
Bravo, Ubaldo
Reyes, Michael
Courseware:
AOBZ-QFAS-VGHN-JTPP
Labs:

4. Design a Database using Normalization
Emps
Emps Addresses
Questions:
1a. Could this Field Contain more than 1 value?
1b. Do you Care?
2a. Could the Value in this Field Change?
2b. Do you care about History?
3. Does the value in this field come from a
Finite List of Values?
4a. Could the Value in this field be blank?
4b. Do you HATE Blanks
5. Is this Data Infrequently Accessed
or More Confidential?
EMPID FN LN
E101
Mike S
E105
Tom
Vorves
E110
Ubaldo B
ADDID
EMPID
ADD
CITY ST
ZIP
Types 1
E101
Redwood H 2
E105 3 M 4
Phx V
Contact
Middle Name
CID
EMPID
PHONE
Type
Primary 1
E101
415 C Y 2
408 H N 3
E105
480 4
602 F 5
315 W
EMPID MI
E105 J
E110 B
Departments
State
DEPT
Desc 1
Information Tech 2
Sales and Market 3
Training and Dev 4
Maint 5
Admin 6
Sales 7
Marketing
Assignment/Dept
State
State Name AL
Alabama AZ
Arizona AR WA
Washington VA WY CA
AID
EMPID
DEPT
Date
Comment 1
E101
2/3/2009
New Hire 2
E105
4/1/2011 3
6/15/2016
Career Change 4
E110
11/1/2016

5. SFHA One – Many Inner Join
Assignment
Query
Billing
5,500
People
14,000
Houses
7,500

6. Module 1: Introduction to databases
Key database concepts in the context of SQL Server 2016
Introduction to relational databases
Other types of database
Data analysis
Database languages

7. Module 2: Data Modelling
Data modelling techniques
Data modelling
ANSI/SPARC database model
Entity relationship modelling

8. Module 3: Normalization
Normalization and de-normalization techniques
Why normalize data?
Normalization terms
Levels of normalization
De-normalization

9. SQL Joins
Select c.[Customer ID], c.[Customer Name], o.[Customer ID], o.[Order ID], o.[Order Date] From [Customer] as c Right Outer Join [Orders] as o On c.[Customer ID] = o.[Customer ID] Where c.[Customer ID] is NULL;

10. Date Queries
SMS: Select [SalesOrderID], [OrderQTY], [ModifiedDate] From Sales.[SalesOrderDetail] Where [ModifiedDate] >= '6/1/2011' and [ModifiedDate] < '6/10/2011' Access: SELECT Orders.[Order ID], Orders.[Order Amount], Orders.[Ship Date] FROM Orders WHERE Orders.[Ship Date] >= #12/1/2003# And Orders.[Ship Date] < #12/11/2003#

11. Aggregate Queries
Select [Title], Count([BusinessEntityID]) as [Number of Peeps] From [Person].[Person] Group By [Title] Having Count([BusinessEntityID]) < 500

12. SQL Not Equal To <>
SELECT Employee.[Employee ID], Employee.[Last Name], Employee.[First Name], Employee.[Position] FROM Employee WHERE Employee.[First Name]<>"Anne";

13. Module 4: Relationships
Relationship types and effects in database design
Schema mapping
Referential integrity

14. Module 5: Performance Database design and performance Indexing
Query performance
Concurrency

15. Module 6: Database Objects
Commonly used database objects
Tables
Views  Query
Stored procedures (Query)
Other database objects

16. Wish List Create Lists in SharePoint (Database)
Create a Drop-Down Pick-List in SharePoint
Connect Lists to Access/Excel