SQL302 Intermediate SQL

Accelerated Computer Training for Working Professionals Bookstore Case

Orange Coast Database Associates Course PowerPoint Slides (800)355-9855 or http://www.dhdursoassociates.com

Orange CoastDatabase Associates

Specializing in Microsoft Office,

Access, SQL, and related technologiesClasses custom designed forWorking Professionals

http://www.dhdursoassociates.com

San Juan Capistrano, CA

(800)355-9855

SQL302 Intermediate SQL UsingMicrosoft SQL Server

1

Bookstore SQL302 1

An accelerated course in intermediate SQL forexperienced SQL users.

P.O. Box 6142Laguna Niguel, CA 92607949-489-1472http://www.d2associates.com

Welcome to SQL302 –

Intermediate SQLUsing MS SQL Server

Bookstore SQL302 2

Intermediate SQL

• Introduction (s)

• Facilities

• Course Packet (contents may vary)– Student questionnaire

– Collaterals (Maps, Catalogs, Etc.)

– PowerPoint handouts for all sessions

– Evaluation form

– Training certificate

2

Bookstore2 SQL302 Module 2 3

SQL302 Contact Information

P.O. Box 6142Laguna Niguel, CA 92607949-489-1472http://[email protected]

Copyright 2001-2012. All rights reserved.

SQL302 Resources

• Bookstore database scripts found onbox.com at

http://tinyurl.com/SQLScripts

• Slides can be viewed on SlideShare…

http://www.slideshare.net/OCDatabases

• Follow up questions?

[email protected]

Bookstore SQL302 Module 1 4

3

About Us 5

Bookstore SQL302 6

Intermediate SQL Curriculum

SQL3xxS*

SQL312Oracle**

SQL302Transact-SQL

SQL322WMySQL**

•*= first day only•**=underdevelopment

4

Bookstore SQL302 7

Intermediate SQL

• Assumes prior knowledge of SQLequivalent to SQL202.

• Quick pace for experienced computer users

• End-user, not programmer, oriented

• Focus is on SQL, not Management Studio

• SQL302s is first two modules of SQL302.

Bookstore SQL302 8

Intermediate SQL

• Select– More filters & operators– Case, cast, convert– Subqueries– Table expressions– Joins– Set operations– Window functions

SQL Covered (Day 1: All Day):

5

Bookstore SQL302 9

Intermediate SQL

• Data Updates– Select into– Update from, using subqueries– Delete from

• Data structures– Alter– Synonyms– Views

SQL Covered (Day 2: AM Only):

Bookstore SQL302 10

Intermediate SQL

• 3 Sessions

• Lecture

• Demo

• Student “hands-on”

• Many exercises are cumulative –later examples build on queriescreated earlier

Course Format:

6

Bookstore SQL302 11

Intermediate SQL

• Session 1 – IntermediateSQL

• Session 2 – Multi-tableRetrieval

• Session 3 – Modifying dataand data structures

Course Schedule (“1/2” day sessions):

Notes

Bookstore SQL302 12

1


SQL302

Intermediate SQL ProgrammingBased on SQL Clearly Explained by Jan Harrington and

Microsoft SQL Server2008 T-SQL Fundamentals by Itzik Ben-gan

Module 1 – Relational Database Background, CASE,Cast & Convert, Subqueries, Table Expressions

Note on SQL302 Slides

• Many of these slides were originally designed tosupport a single SQL course which was used for anyof MS Access, MySQL, Oracle and SQL Server.

• As such you may see here slides developed in anyone of the above products.

• We are in the process of migrating the vendorspecific slides out into their own slide sets.


2


Warning!

• Below are some table name changes to beaware of in doing queries. We have createdsynonyms so either name should work.

New Name Old Name

Orders Order_filled

Order_Lines Orderlines





3

SQL302 Resources

• Bookstore database scripts found onbox.com at





[email protected]



SQL Programming

• Course focus is SQL language

• Widely used for:– Database administration

– Enterprise application development

– Data driven web sites

• A foundation skill for eBusiness andalmost all major business applications thatuse relational databases

4


SQL302

• Students should have taken SQL202 orhave equivalent experience. It is assumedstudents know basic SQL.

• We will use the Management Studio in thisclass, but the focus will be on SQLscripting


Relational Database Evolution

• Based on Codd’s paper

• Early commercial efforts focused on Unix

• First mainframe implementation by IBM -precursor to today’s DB2

• First PC implementation in early 80’s byOracle

5


Relational Database Basics

• Storage

• Databases

• Tables

• Rows

• Columns

• Indexes

• Views

• Cursors

• Application interfaces


Relational Database Table

6


Constraints

• Database

– Domain

– Uniqueness

– RelationshipCardinality

• 1 to 1

• 1 to N

• Other Business Rule

– Triggers

– Stored Procedures


Relational Database with constraints

7


Database Management Systems

Positioning Chart

VLDB

Enterprise

Workgroup

Single user

Spreadsheet

# Users

Cost


System Architecture

AccessMDB

File ServerArchitecture

Access

8


System Architecture

OracleDB

VisualBasic App

Client/ServerArchitecture

Access

SQL


System Architecture

OracleDB

Browser

WebArchitecture

WebServer

SQL

9


Approaching SQL

• Relatively simple

• Two main environments

– Interactive (This course)

– Embedded

• Static (Compiled)

• Dynamic


SQL Standardization

ANSI standardization– First standard in 1986

– SQL 89

– SQL 92

– SQL 99

• Various vendor extensions– Microsoft/Sybase: T-SQL

– Oracle: PL/SQL

10


SQL Conformance

• Entry

• Intermediate

• Advanced

• Most are at least entry level


SQL Statements

• Data Manipulation Language (DML)

• Data Control Language (DCL)

• Data Definition Language (DDL)

• Note: SQL 99 changes these to seven typesincluding DQL Data Query Language

11


SQL DDL

• Data definition language (DDL)

– Create, alter, drop, etc.

– Frequently implemented via various CASEtools: Visio, Embarcadero, ERWin, etc.

– But very useful for database administration


SQL DCL

• Data Control Language (DDL)

– Grant

– Revoke

– Deny

– Constraints

12


SQL DQL


– Select


SQL DML


– Insert

– Update

– Delete

13


SQL Statement Processing

Parse

Validate

Optimize

Access Plan

Execute


Sample Database(s)

• Before we continue (note: instructor may havealready done this)…

• Load the sample database(s) if not already loaded– Use supplied SQL Script (after class this script may be

found on Box.com).

14


Text Conventions

• In Access character strings are normallysurrounded by double quotes

– “Jones”

• In an enterprise database such as Oracle orSQL Sever enclose text strings in singlequotes

– ‘Jones’


Date Conventions

• In an enterprise database such as Oracle orSQL Sever, enclose dates in single quotes

– ‘2004-12-23’ MySQL

– ’12-23-2004’ SQL Server

– ’23-DEC-04’ Oracle

15

Select statement clauses

SELECT…

INTO…

FROM…

WHERE…

GROUP BY…

HAVING…

ORDER BY…



SELECT

See SQL202 for syntax andsemantics of basic SELECTstatement

16


On Your Own

• Find books written by Mark Twain

• Show title, publisher, year


Complex Predicates

Follow normal boolean logic

Select customer_last_name,customer_street

From customers

Where (customer_last_name =‘Jones’ or customer_last_name =‘Smith’)and customer_state=‘NY’

17


Select with Complex Where


Complex Where Result

18


Special Operators

• Can be used in where clause

• Covered in this class (SQL302)– Exists (Covered in section on Joins)

– Like extensions

– Any, some, all

• Previously Covered in SQL202– LIKE

– IN

– BETWEEN

– IS NULL


Like Extensions

• ANSI wildcards

• Wherecustomer_last_namelike ‘[JK]o%’

like ‘[J-M]%’

like [^abc]%

19

Any, some, All

• Any, some

• Modifies comparisonoperator

• Ex: expr > any (1,2,3)means expr wouldhave to be greaterthan the minimumwhich is 1

• All

• Modifies comparisonoperator

• Ex: expr > all(1,2,3)would have to begreater than 3



On Your Own

• Find all customers with a last name that startswith a through m

• Find all customers that live in a state that doesnot start with m

20

Case

• Used to return a choice from two or morealternatives

• Two forms

– Searched case

– Unsearched case


Unsearched (Simple) CASE

• This form of case has a selector whichtakes on a value used to select analternative

• Syntax:Select case <selector>

When <value1> then <expr1>,

When <value2> then <expr2>,

…

Else

<statement>

EndBookstore SQL302 Module 1 40

21

Unsearched (Simple Case)

• Example: expand the order filled statuscolumns in the orders table


Searched CASE

• This form of the Case statement does nothave a selector

• Syntax:Select case

When <condition1> then <expr1>,

When <condition2> then <expr2>,

…

Else

<statement>

End


22

Searched CASE

• Example: list names of referringcustomers, self in no referrer


CAST

• Function to cast a column to a differentdata type; same idea as cast in cprogramming

• Syntax:

CAST ( expression AS data_type [ ( length ) ] )


23

CAST

• Example: combine author name andpublication year into one column


CAST results


24

Convert

• Function to convert from one data type toanother; mostly replaced by cast

• Syntax

CONVERT ( data_type [ ( length ) ] , expression[ , style ] )


Convert

• Example:

– Remove time from display of a datetimecolumn


25

Convert results



Subqueries

• One select statement embedded in another

• Can be nested multiple levels deep

• Can be used in select, from and whereclauses

• Two types:– Uncorrelated – executes inner query then outer

– Correlated – executes inner query once foreach outer query row

26

Uncorrelated Subquery

• In list (covered in sql202 basic class)

• Single valued



Uncorrelated Subquery

select isbn, quantity

from orderlines

where order_numb in

(select order_numb fromorders where order_datebetween ‘1/1/99’ and‘12/31/99’);

27

Single-valued Subquery

• Subqueries can be used where anexpression returns a scalar or single value

– calculations

– comparisons

• Can be used in select list, from clause andwhere clause


Single-valued Subquery

• Example

– Show all orderlines with an order total greaterthan the average for all orderlines

• Codeuse bookstore;

SELECT isbn, quantity

, (select avg(quantity) from orderlines) as[Average Quantity]

FROM orderlines AS ol

WHERE quantity >

(select avg(quantity) from orderlines)


28


Correlated Subquery with Exists

• Inner subquery executed once for each outer row

• Exists will return true or false depending onwhether the result will have any rows or not

• Can be a quick way to test for existence ofrecords (parent records, say) as used inapplication enforcement of referential integrity


Correlated subquery with Exists

SELECT isbn, quantity

FROM orderlines AS ol

WHERE exists

(select * from orders o whereol.order_numb = o.order_numb

and o.order_date between ‘1/1/99’and ‘12/31/99’);

29

Derived Tables

• Sort of a named subquery

• Allows you to access columns inside thesubquery from the containing outer query

• Syntax

<select statement> as derivedtablename


Derived Tables

• Example: List the number of orders peryear

• Codeuse bookstore;

select order_year, count(order_numb)

from(

select YEAR(order_date) as order_year,order_numb

from orders) as d

group by order_year;


30

Common Table Expressions

• Can be used to define a subquery that canbe reused within an SQL statement

• SyntaxWith CTE_name (column list)

As (

Select statement

)

<outer query that uses the CTE>


Common Table Expressions

• Example: show order_lines with cost morethan the average. Demonstrate twotechniques:

– Technique 1 - Using subqueries w/out a CTE

– Technique 2 - With CTE’s


31

Technique 1 – w/out CTE

select isbn, cost_each, (selectAVG(cost_each)from orderlines)

from orderlines

where cost_each > (select AVG(cost_each) fromorderlines)

order by isbn;


Technique 2 – using a CTE

with average_cost_cte(average_cost)

as

(select AVG(cost_each)

from orderlines)

select isbn, cost_each, average_cost

from orderlines, average_cost_cte

where cost_each > average_cost

order by isbn;


32


SQL Exercises

• List all customers whose last name does notend with s or t.

• Find all customers who have not placed anorder.

• Find all order lines with an amount less thanthe average. Include the order date without thetime.

• List all books with a price greater than theaverage price for all books. Show the variancefrom the average, too. Use a CTE.

[end module]

Notes


1


SQL302

Intermediate SQL Programming

Workshop 2 – Joins, Set Operations, WindowFunctions

Based on SQL Clearly Explained by Jan Harrington and Microsoft SQL Server T-SQL Fundamentals by Itzki Ben-gan


• These slides were originally designed to support asingle SQL course which was used for any of MSAccess, MySQL, Oracle and SQL Server.


• We are in the process of migrating the Oracle,Access, and MySQL slides out into their own slidesets. The SQL302 slides will cover Microsoft SQLServer.


2


Warning!


New Name Old Name

Orders Order_filled





Copyright 2001-2012All rights reserved.

3

SQL302 Resources

• Bookstore database scripts found onbox.net at





[email protected]



Relational Database with constraints (from text)

4

Bookstore2 &Employees

SQL204 Module 1 7

Sample Employees Database


More conventions

• Names can be surrounded with “ “ or [ ] asin [order details].

• Some of the PowerPoint slides may havethis convention.

• Better practice is to use an underscore as inorder_details.

5


SQL302

SQL Programming

Part 1 – Joins: Natural, Self and Outer


Joins

• Inner (Covered in SQL202 course)

• Natural Join

• Self

• Data Warehouse operators

• Outer– Left

– Right

– Full

• Cross

• Theta

• We will cover some of the more advanced or subtleaspects of joins in this class

6


Natural Joins

• Table1 natural join table3 – automaticallyuses columns with same name

• Table 1 natural join table2 using(<column-list>

• Not yet available in SQL Server


Correlation Names (Table Aliases)

• Can abbreviate references to tables

• For example:

Select e.name, j.payrange

From employees as e

Inner join job_information as j

On e.jobcode = j.jobcode;

7


Self Joins

• Implements a recursive relationship

• Important in various applications

– Parts lists/assemblies

– HR

– Etc.

– Table joined to itself using correlation names


Self Joins

SELECT e.*, m.name

FROM employees AS e, employeesAS m

WHERE e.managerid =m.employeeid;

8


Datawarehouse clauses

• Two keywords that can be added to agrouped query

– Rollup

– Cube

• Places additional summary rows in theresult set

• Result set is a true relational result set


9

Rollup

• Example: calculate average salaries byjob_title_code and manager


Rollup results


10

cube

• Similar to rollup but computes summaryrows in all dimensions


Cube results

• Add a new set of rows which total by year


11



Outer Joins

• Left – selects all rows from the left or first table,even if no match exists in the other table

– Widely used in commercial practice

– Especially useful for reporting

– Can be slower and interfere with optimizer

• Right – same idea but all rows from right table

• Full – all rows form both tables

12


Left Outer Join

Basic SQL 92 Syntax:

Select <column-list>

From <table1>

Left join <table2>

On <join condition>

Left Outer Join

• List all customers with their orders

• Include customers with no orders as well


13


Left-Join

Basic Example:

SELECT customer_first_name,customer_street, order_numb,order_date

from customers as c

left join orders as o

on c.customer_numb =o.customer_numb


Left Join with Results

14

Negative Left Join

• List all the customers who have not placedany orders

• This is an example of a query which findsunmatched records



Negative Left-Join (Unmatched)

Basic Example:

SELECT customer_first_name,customer_last_name, order_numb,order_date

from customers as c

left join orders as o

on c.customer_numb =o.customer_numb

Where order_numb is null;

15


Left Join w/ Partial Match

• List all customers along with any ordersplaced in 1999

• If they did not place 1999 orders we stillwant to include them in the printout


16

Left Join w/ Partial Match


Example:SELECT customer_first_name,customer_last_name, order_numb, order_date

from customers as c

Left join

(select customer_numb, order_numb,order_date

From orders

Where year(order_date) = 1999) as d

on c.customer_numb = d.customer_numb;

Own Your Own

• List all books and their order totals for1999

• Show the book even if there were no ordersplaced in 1999


17

Theta Joins

• Theta joins involve inequalities in thematching conditions

• Can be used for some interesting querieswhich do not involve the usual primary keyto foreign key matchings


Theta join

• Find all customers that live at the same address

– Requires a self join of the customers table on addressfield


18

Theta join results

• Can be further processed with a union query toconsolidate names into a single list



SQL302

SQL Programming

Part 3– Set Operations

19

Set Operations

• More on unions

• Intersect

• Except



Unions

• Combines two or more tables

• Tables must be union compatible

20


Unions

Select <column-list> from<table1>

Union [ALL]

Select <same-columns> from<table2>

Unions

• Example: consolidate two columns into onecolumn


21

Union consolidation result

• Customers in same city


Unions

• Example: add a total row to a query result

• Code:


use bookstore;select order_numb

, sum(quantity) as "Quantity", sum(cost_line)as "Total Cost"

from orderlinesgroup by order_numbunionselect NULL, sum(quantity),sum(cost_line)from orderlines;

22

unions

• Example: add an element to a pick list


intersect

• The intersect operator finds rows incommon between two tables

• Syntax

Select <column-list> from <table1>

intersect

Select <same-columns> from <table2>


23

intersect

• Example: find cities in common betweensources and customers

• Codeselect customer_city, customer_state,customer_zip

from customers

intersect

select source_city, source_state,source_zip

from sources;Bookstore SQL302 Module 2 45

Except

• Finds all rows from first table that are notfound in the second table

• Syntax:

Select <column-list> from <table1>

except

Select <same-columns> from <table2>


24

except

• Example: find sources that are not locatedin any of our customer’s cities

• Codeselect source_city, source_state,source_zip

from sources

except

select customer_city, customer_state,customer_zip

from customers;Bookstore SQL302 Module 2 47


SQL302

SQL Programming

Part 4 – Window Functions

25


Aggregate Functions

• Count

• Sum

• Min

• Max

• Avg

• Often used in conjunction with groupingand window functions

Window Functions

• Sort of like grouping, but aggregates canbe taken along with straight columns in theselect list

• The function is applied over a window

– Partition by column

– Partition by ()


26


Window Functions

Basic syntax:

Select …, aggregate function(<column>)over (partition by <column>)

From <table>where <predicate>


Window Functions

Example: Show salary along with average for thejob_title and overall

Code:use employeedb;select soc_sec_no, name, salary

, SUM(salary) over(partitionby job_title_code) as [Job CodeAverage]

, SUM(salary) over() as[Average]from employees;

27


Exercise

• List all customers and their orders

– Name nicely formatted

– With orders in the year of 1999 (do not usebetween, etc.)

– Show total order quantities and amounts

– Only include orders with more than threeorder lines

Notes


28

Notes


Notes


1

SQL Server/Employees SQL302 Module 3 1

SQL302

Intermediate SQL Programming

Workshop 3 – Modifying Data, Managing theDatabase

Based on SQL Clearly Explained by Jan Harrington and Microsoft SQL Server T-SQL Fundamentals by Itzki Ben-gan



• These slides were originally designed to support thesingle SQL302 course which was used for any ofMS Access, Oracle and SQL Server.


• We are in the process of migrating the OracleMySQL, and MS Access slides out into their ownslide sets. These SQL302 slides will focus onMicrosoft SQL Server.

2


Warning!


New Name Old Name

Orders Order_filled






3

SQL302 Resources

• Bookstore database scripts found onbox.net at





[email protected]



SQL302 Module 3

• Part 1 – Modifying Data

• Part 2 – Managing Database Structures

4


SQL302

SQL Programming

Part 1 – Modifying Data


Relational Database with constraints (from text)

5

Bookstore2 &Employees

SQL204 Module 1 9

Sample Employees Database

SQL Server/Employees POS/410 Workshop 3 10

Transactions

• Statements can be groupedinto transactions

• All must succeed

• If so they are allcommitted

• If not they are all rolledback

• Helps guarantee data isconsistent

6

SQL Server/Employees POS/410 Workshop 3 11

SQL Server Transactions Syntax

begin transactionStatements

…

…

if @@error = 0Commit transaction

elseRollback error


Data Modification Statements

• End-user rarely sees thesestatements

• Application developer preparesthese statements “behind thescenes” based on forms or webpages filled out by user

7


Data Modification Statements

• This course (SQL302)

– Select Into

– Table Valued Constructors (TVCs)

– Update

– Delete

• Basic DML already covered inSQL202

Select into

• Select….into will copy a table

• Uses a regular SQL statement with intoclause before the from not after

• Syntax:Select <select list>

Into <tablename>

From <tablename>


8

Select into

• Example:

– Copy a subset of the employees table to atemporary working table

• Code:


Insert with TVC

• Newer form of insert statement longavailable in MySQL

• Can shorten your code

• Each element in the insert list can actuallybe an expression but we will use literals inthis class


9

Insert with TVC



Update and Delete

• Updates and deletes can usesubqueries

• SQL Server allows update anddelete statements to be based onjoins, too

• We will review this in the next fewslides.

10

Update

• You can use subqueries in an update.

– In where predicate

– To set the field value


UPDATE tableSET columnname = value from subquery[WHERE condition with subquery]

• Example: Increase range minimums for unusedjob codes


UPDATE w/ Subquery in where

11


UPDATE Results


UPDATE FROM Statement

UPDATE tableSET columnname = value…[FROM tablelist][WHERE condition]

SQL Server allows updates from a table, including joinedtables. As an example one could update quantity on handin an inventory table from a transaction table.

12

Update from

• Example: increase managerial salaries



UPDATE From Results

13

Update w/ subquery in set clause

• Update employee temp table – set salaries to theaverage for that code



DELETE FROM Statement

DELETE [from] tableFROM tablelist[WHERE condition]

SQL Server allows deletes from a table based on asubquery or a join condition.

Basic syntax:

14

Delete from

• Example: Delete unused job titles



DELETE FROM Results

15


Delete and Referential Integrity

• Can affect referential integrity when deleting a“parent” row

• Can do following with child…– Cascade: delete the child row– Set null: set the child’s foreign key null– Set default: as above but to default value– No action: don’t allow delete of parent row

• Referential integrity can be established whencreating or modifying table structures which wewill look at later in the class


SQL302

SQL Programming

Part 2– Managing Database Structures

16

Managing Database Structures

• Create

• Alter

• Synonyms

• Views


Managing Database Structures

• We will first create a table and then use thealter command to

– Add columns

– Modify columns

– Add constraints


17


Creating Tables

• Use create statement

• Specify:

– Columns with data types and columnconstraints

– Table constraints

• Foreign key references

• Primary key designation


Create Table

Basic syntax:

Create table <table-name>

(

<column1> <datatype> <constraints>

,.. <column1> <datatype> <constraints>

…

<table constraints>

);

18


Create Table

Example 1: SQL202 Create summary table(we will do this step by step using the alterstatement in succeeding slides)

Create table summary(

isbn varchar(20) primary key,

How_many int check (how_many >= 0),

Constraint isbn_fk

Foreign key (isbn) references books(isbn)

)


Create Table

Example 2: Create summary table

Create table #summary(

isbn varchar(20) primary key);

19


Modifying a Table Design

• Applies to tables

• Use ALTER statement

– Add columns

– Delete columns

– Rename columns

– Add column constraints

– Add table constraints


Modifying a Table Design

Basic syntax:

Alter <table-name>

Add <field-name>,

Add <table-constraint>,

Alter <field-name>

Etc.

20


Add a column

Example: add a column to hold howmany times a book has been sold

alter table #summary

Add how_many numeric(5,2);

Modify a column

• Example

– Change the how many column to an integer

• Code


alter column how_many int;


21

New column results



Column Constraints

• Primary key

• Not NULL

• CHECK clause

• Default

• Unique

22


Add a column constraint

Example: modify the how many columnso there is a check constraint onhow_many


add constraint check(how_many >=0);


Table Constraints

• Primary Key

• Foreign Key

• Compare fields against each other. I.e.ship_date >= order_date

23


Add a table constraint

Example: add a foreign key constraintwith cascade options


Constraints on Summary Table

24

Synonyms

• Can create another name for an object

– Used to provide a shorthand way to refer along, fully qualified table name

– Used where we want scripts to use an oldname as well as the newer name

• Syntax:

– Create <synonym> for <objectname>


Synonyms

• Example:

– create a synonym for the orderlines table

• Code

create synonym orderlines fororder_lines;


25


Views

• Think of a view as a named query whereinthe definition is stored in the database

• Can be read like a table

• Some are updateable


Views

Basic syntax:

Create view <view-name> (<column-list>)

As

<select statement>

Column list can be used to name the output columnsinstead of using the names in the select list

26


Creating a View


Using Views

• Can be used like a table subject to variouslimitations

– Cannot insert into grouped queries, etc.

– Etc.

• Sample select from syntax:

select column-list

from employee_view

27

Inserting into a view

• Must insert into all required columns inunderlying table

• Sample code:



Using a View

28

SQL302


[end of course]

Notes


Accelerated Computer Training for Working Professionals

Orange Coast Database Associates Course Material (800)355-9855 or http://www.dhdursoassociates.com

Orange CoastDatabase Associates

Specializing in Microsoft Office,

Access, SQL, and related technologiesComputer Training, Programming & Consulting

32422 Alipaz St., Suite A-15

San Juan Capistrano, CA

(800)355-9855 (Toll Free) | (949)489-1472 (Direct) | (949)485-6284 (Fax)

http://www.dhdursoassociates.com | [email protected]

Accelerated Computer Training

Technology

SQL302 Intermediate SQL