1. SQL 101 with Tom Vorves zaq123 Jaquelin Lauren Inna Donna Ayesha
Manuel
Jen
Brett
Blen
Maria
Tony
Desktop\Instructor Exercise Files\Tom Vorves\SQL\SQL 101\DataBases\
Xtreme
Northwind
SQL 101
with Tom Vorves
zaq123

2. SQL 101 with Tom Vorves zaq123 Brendan Tan Webster Sonia Calvin Rachel
Michael
Greg
Swati
Gwen
Colin
Tara
Tom
Database files:
Desktop\Instructor Exercise Files\Tom Vorves\SQL\SQL 101\DataBases\
Xtreme
Northwind
SQL 101
with Tom Vorves
zaq123

3. Wednesday Union Pivot Parameters and Vars Join a table to self
Import SMS Query into Excel
Use Excel to Query SMS
Import Excel into SMS
Copy Paste works Well too
DML
DQL
Query a Query (Manuel)
Power Pivot
Views

4. Parameter Query
use XTreme VARCHAR(20) = 'USA' SELECT * FROM [Customer] WHERE [Country]

5. Variable Query (Manuel)
use XTreme
money
= AVG([Last Year's Sales])
FROM [Customer];
Select *
from [Customer]
where [Last Year's Sales]

6. Temp Table Query use XTreme --drop table #mytemptable select *
into #mytemptable
from [customer]
where [country] = 'usa' and [Last Year's Sales] > ;
--view the data
select * from #mytemptable
Later:
update #mytemptable
set Address1 = 4
where [Customer ID] = 14

7. Pivot Simple USE AdventureWorks2014;
-- Pivot table with one row and five columns
SELECT 'AverageCost' AS Cost_Sorted_By_Production_Days, [0], [1], [2], [3], [4]
FROM
(SELECT DaysToManufacture, StandardCost
FROM Production.Product) AS SourceTable
PIVOT (
AVG(StandardCost)
FOR DaysToManufacture IN ([0], [1], [2], [3], [4])
) AS PivotTable;

8. Pivot Simple2 USE XTreme; -- Pivot table with one row and five columns
SELECT 'AverageSales' AS [Average Sales], [AZ], [CA], [NY], [WI], [NV]
FROM
(SELECT [Region], [Last Year's Sales]
FROM Customer) AS SourceTable
PIVOT (
AVG([Last Year's Sales])
FOR [Region] IN ([AZ], [CA], [NY], [WI], [NV])
) AS PivotTable;

10. Pivot Complex USE AdventureWorks2014;
SELECT VendorID, [250] AS Emp1, [251] AS Emp2, [256] AS Emp3, [257] AS Emp4, [260] AS Emp5
FROM
(SELECT PurchaseOrderID, EmployeeID, VendorID
FROM Purchasing.PurchaseOrderHeader) p
PIVOT (
COUNT (PurchaseOrderID)
FOR EmployeeID IN
( [250], [251], [256], [257], [260] )
) AS pvt
ORDER BY pvt.VendorID;

11. DML use XTreme CREATE TABLE dbo.PurchaseOrderDetail (
PurchaseOrderID int NOT NULL
,LineNumber smallint NOT NULL
,ProductID int NULL );
insert into dbo.PurchaseOrderDetail values(1, 1, 1)
select * from dbo.PurchaseOrderDetail
update PurchaseOrderDetail
set lineNumber = 4
where PurchaseOrderID = 11
drop table PurchaseOrderDetail

12. EXECUTING A SIMPLE QUERY
Connect to the SQL Database
Import Data
Query a Database
Save a Query
Modify a Query
Execute a Saved Query

13. PERFORMING A CONDITIONAL SEARCH
Search Using a Simple Condition
Compare Column Values
Search Using Multiple Conditions
Search for a Range of Values and Null Values
Retrieve Data Based on Patterns

14. WORKING WITH FUNCTIONS
Perform Date Calculations
Calculate Data Using Aggregate Functions
Manipulate String Values

15. ORGANIZING DATA
Sort Data
TOPn
Group Data
Filter Grouped Data

16. Advanced data Retrieval
Combine Results of Two Queries
Retrieve Data by Joining Tables
Check for Unmatched Records
Retrieve Information from a Single Table Using Joins

17. USING SUBQUERIES TO PERFORM ADVANCED QUERYING
Search Based on Unknown Values
Find all Orders where the Order Amount > than the Average Order Amount
Compare a Value with Unknown Values
Perform Multiple-Level Subqueries
Alias a Query for a Sub-Query (Manuel)

18. MANIPULATING TABLE DATA
Insert Data
Modify and Delete Data

19. MANIPULATING THE TABLE STRUCTURE
Create a Table
Create a Table with Constraints
Add and Drop Table Columns
Add and Drop Constraints
Modify the Column Definition
Back Up Tables
Delete Tables

20. WORKING WITH VIEWS Create a View Manipulate Data in Views
Create Aliases
Modify and Drop Views

21. INDEXING DATA
Create Indices
Drop Indices

22. MANAGING TRANSACTIONS
Create Transactions
Commit Transactions