IBM DB2 SQL Workshop for Experienced Users

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.

Learning Journeys or Training Paths that reference this course:

Data Servers Cross Product Overview
Db2 for z/OS – Role: Database Administrator
Db2 for z/OS – Role: System Administrator
Application Programming
DB2 for z/OS
Db2 for z/OS – Role: Application Programmer


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

Administración y programación bases de datos

Disponible en formato e-learning

Disponible en formato presencial

Disponible en formato a distancia

Subvención disponible
A través de Fundae, cumpliendo requisitos.

15 horas

  • Dificultad 50% 50%
  • Nivel alcanzado 80% 80%

Dirigido a

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

Conocimientos requeridos

You should have experience with:

coding and executing basic SQL statements.
These skills can be developed by attending

SQL Workshop (CE120), or equivalent experience.



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

Retrieve data from more than one table via inner and outer joins
Use outer joins (LEFT, RIGHT, FULL)
Join a table to itself
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:
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

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