Web Based Training

DB2 SQL for Experienced Users - SPVC - 2E131G

This course teaches you how to make use of advanced SQL techniques to access DB2 databases in different environments. This course is appropriate for customers working in all DB2 environments, specifically for z/OS, Linux, UNIX, and Windows.

Fortgeschritten Englisch
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463,39 €

inkl. 19% MwSt

389,40 € netto

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Beschreibung

If you are enrolling in a Self Paced Virtual Classroom or Web Based Training course, before you enroll, please review the Self-Paced Virtual Classes and Web-Based Training Classes on our Terms and Conditions page, as well as the system requirements, to ensure that your system meets the minimum requirements for this course.

http://www.ibm.com/training/terms

Introduction

Identify the purpose of the clauses in the SELECT statement
Describe the key differences among the IBM DB2 platforms
Describe and use some of the OLAP features of DB2, such as GROUPING functions like CUBE and ROLLUP, and the RANK, DENSE_RANK and ROW_NUMBER functions

Create Objects

Code statements to: Create tables and views, Alter tables, Create indexes, Implement referential integrity (RI), and Define triggers and check constraints
Identify impacts and advantages of referential integrity, including impacts of delete rules
Identify considerations when using triggers and check constraints
Define and make use of INSTEAD OF triggers

Join

Retrieve data from more than one table via inner and outer joins
Use outer joins (LEFT, RIGHT, FULL)
Use ANTI JOINS
Join a table to itself
Use UNION and UNION ALL
Use EXCEPT and INTERCEPT

CASE, CAST, Summary Tables, and Materialized Query Tables

Identify when CASE expressions can be used
Code CASE expressions in SELECT list and in the WHERE clause
Identify when CAST specifications can be used
Identify the advantages of using Summary (Materialized Query) Tables and Temporary tables
Identify the advantages of using Materialized Query Tables (MQTs)
Identify when and how to use Temporary tables

Using Subqueries

Code subqueries using the ALL, ANY/SOME, and EXISTS keywords
Code correlated subqueries
Choose the proper type of subquery to use in each case

Scalar Functions

Extend your knowledge of scalar functions which: Manipulate arithmetic data, Manipulate date values, and Manipulate character data. Examples of scalar functions that are addressed in this course:

SUBSTR
POSSTR
COALESCE/VALUE
DECIMAL
ROUND
DIGITS
CHAR
DATE/TIME



Table Expressions and Recursive SQL

Identify reasons for using table expressions and recursive SQL
Use nested and common table expressions
Identify the difference between views and table expressions
Code recursive SQL
Control the depth of recursion when coding recursive SQL

UDTs/UDFs and Performance

Describe the concepts behind User-Defined Types, User-Defined Functions and Stored Procedures
Predict when queries will use indexes to get better performance
Identify concepts of predicate processing
State introductory concepts about index structure
State general best practices advice

Ziel

Discuss basic relational database concepts
Use some of the OLAP features of DB2, such as GROUPing and RANKing functions
Create tables, views and indexes
Use referential integrity, check constraints and triggers
Use outer joins, and join tables to themselves
Use CASE expressions, and the CAST function
Identify the impact of Summary Tables, Materialized Query Tables, and temporary tables
Use complex subqueries
Use a greater number of scalar SQL functions
Use advanced SQL constructs, such as recursive SQL and table expressions
Define User-Defined Distinct Types and User-Defined Functions
Avoid several of the most common causes for poorly-performing SQL

Anforderungen an die Teilnehmer

You should have experience with coding and executing basic SQL statements.

These skills can be developed by attending SQL Workshop (CE120), or having equivalent experience.

Teilnehmer

This intermediate course is for experienced SQL end users, application programmers, database administrators, and user support staff who need more advanced knowledge of SQL.


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