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IBM Db2 12: SQL Workshop for Experienced Users
Course Description
Overview
This course covers fundemental and advanced SQL techniques for efficient data management, optimization, and analytics in Db2 12. Participants will learn how to navigate the Db2 system catalog and explore query performance optimization techniques, including indexing strategies, predicate pushdown, and query access plans to improve efficiency.
The course also introduces advanced SQL functions, such as LISTAGG, PERCENTILE_CONT, and PERCENTILE_DISC. Participants will learn how to create and manage database objects and gain expertise in utilizing advanced join techniques such as inner and outer joins, hash joins, lateral joins, and set operators like UNION, INTERSECT, and EXCEPT to merge and analyze data from multiple tables.
The course also covers the use of subqueries and query optimization techniques, including correlated subqueries, EXISTS/NOT EXISTS, and quantified predicates to enhance data retrieval efficiency.
Through hands-on exercises and real-world scenarios, they will develop the skills necessary to handle large datasets efficiently and implement best practices for high-performance database management.
Objectives
After completing this course, learners should be able to:
- Demonstrate the use of OLAP ranking functions (RANK, DENSE_RANK, ROW_NUMBER) to analyze and order query results
- Optimize queries with expression-based indexes for computed values
- Utilize set operators like UNION, EXCEPT, and INTERSECT for advanced data merging
- Leverage summary tables and MQTs to precompute and store aggregated data
- Apply EXISTS, NOT EXISTS IN, IN, and NOT IN predicates for conditional data retrieval
- Perform numeric and mathematical operations, including logarithmic, exponential, and trigonometric calculations
- Implement recursive SQL to process hierarchical relationships
- Leverage ARRAY data types to pass structured lists of values within SQL queries and procedures
- Analyze and optimize SQL execution plans with EXPLAIN and VISUAL EXPLAIN
Audience
This course is ideal for database administrators, SQL developers, and data analysts who have prior experience with SQL and wish to enhance their Db2 v12 expertise. This course is appropriate for customers working in Db2 environments for Linux, UNIX, and Windows.
Prerequisites
- Be able to discuss basic Relational Database concepts
- Be able to code basic SQL statements
- Have completed the SQL Workshop course (CLA22G or 2LA22G)
Before taking this course, participants should:
OR
Topics
Unit 1: SQL Introduction
- Describe the structure and purpose of Db2 v12, including its system catalog, database organization, and key SQL components
- Explain how Db2 catalogs and system tables store metadata, and how they can be queried for database object information
- Demonstrate the use of OLAP ranking functions (RANK, DENSE_RANK, ROW_NUMBER) to analyze and order query results
Unit 2: Create Objects
- Create and modify tables, columns, and constraints
- Use generated columns to automate calculations and reduce dependency on triggers
- Optimize queries with expression-based indexes for computed values
- Implement referential integrity, check constraints, and triggers for enforcing business rules
- Leverage views and materialized query tables to simplify data access and reporting
Unit 3: JOIN
- Use inner and outer joins to retrieve related data across tables
- Optimize query performance with hash joins for large datasets
- Leverage lateral joins for more flexible row-by-row processing
- Perform self-joins to analyze hierarchical or recursive relationships
- Utilize set operators like UNION, EXCEPT, and INTERSECT for advanced data merging
Unit 4: CASE, CAST, Summary (Materialized Query) Tables, and Temporary Tables
- Use CASE expressions to apply conditional logic within queries
- Perform data type conversions using CAST
- Leverage summary tables and MQTs to precompute and store aggregated data
- Implement temporary tables and SGTTs to handle intermediate results
Unit 5: Using Subqueries
- Use basic subqueries to filter and retrieve data dynamically
- Leverage correlated subqueries for row-dependent queries
- Apply EXISTS, NOT EXISTS, IN, and NOT IN predicates for conditional data retrieval
- Utilize LATERAL subqueries to execute row-by-row subqueries for sequential logic processing
- Optimize query performance by structuring subqueries efficiently
Unit 6: Scalar Functions
- Use string functions to extract, modify, and format text data
- Perform numeric and mathematical operations, including logarithmic, exponential, and trigonometric calculations
- Apply LISTAGG to concatenate multiple row values into a single string
- Work with data and time functions to extract, manipulate, and format timestamps
Unit 7: Table Expressions and Recursive SQL
- Use nested table expressions to create temporary result sets for complex queries
- Leverage common table expressions (CTEs) for modular and reusable SQL structures
- Implement recursive SQL to process hierarchical relationships
- Apply performance optimization techniques to improve efficiency in recursive queries
Unit 8: An Introduction to UDTs / UDFs and Stored Procedures
- Define User-Defined Distinct Types (UDTs) to create custom data types for specialized business needs
- Implement User-Defined Functions (UDFs)
- Utilize stored procedures to encapsulate complex database logic for performance efficiency
- Leverage ARRAY data types to pass structured lists of values within SQL queries and procedures
Unit 9: SQL and Db2 Performance
- Use indexes, clustering, and predicate pushdown
- Analyze and optimize SQL execution plans with EXPLAIN and VISUAL EXPLAIN
- Improve filtering and sorting performance using predicate processing techniques
- Leverage RUNSTATS enhancements to ensure up-to-date statistics for query optimization
Recognition
When you complete the Instructor-Led version of this course, you will be eligible to earn a Training Badge that can be displayed on your website, business cards, and social media channels to demonstrate your mastery of the skills you learned here.
Learn more about our Badge Program →
This course is eligible for the IBM Db2 12 SQL Workshop for Experienced Users - Code: CLA32G
Need Help?
Call us at 877-206-0106 or e-mail us at info@learnquest.com
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- Same in-demand topics as instructor-led public and private classes.
- Standalone learning or supplemental reinforcement.
- e-Learning content varies by course and technology.
- View the Self-Paced version of this outline and what is included in the SPVC course.
- Learn more about e-Learning
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Self-Paced Training Terms & Conditions
THIS IS A SELF-PACED VIRTUAL CLASS. AFTER YOU REGISTER, YOU HAVE 365 DAYS TO ACCESS THE COURSE.
This is a Self-Paced virtual class; it is intended for students who do not need the support of a classroom instructor. If you feel you would better benefit from having access to a Subject Matter Expert, please enroll in the Instructor-Led version instead. Minimal technical support is provided to address issues with accessing the platform or problems within the lab environment.
Before you enroll, review the system requirements to ensure that your system meets the minimum requirements for this course. AFTER YOU ARE ENROLLED IN THIS COURSE, YOU WILL NOT BE ABLE TO CANCEL YOUR ENROLLMENT. You are billed for the course when you submit the enrollment form. Self-Paced Virtual Classes are non-refundable. Once you purchase a Self-Paced Virtual Class, you will be charged the full price.
After you receive confirmation that you are enrolled, you will be sent further instructions to access your course material and remote labs. A confirmation email will contain your online link, your ID and password, and additional instructions for starting the course.
Upon receipt of the Order Confirmation Letter which includes your Enrollment Key (Access code); the course begins its twelve (12) month access period. IMPORTANT!!! If your course provides access to a hands-on lab (Virtual Lab Environment), you will have a specific number of days (typically 30 days) on the remote lab platform to complete your hands-on labs. Do not start your lab until you are ready to use your lab time effectively. Time allotted in the virtual lab environment will be indicated once you apply the enrollment key. The self-paced format gives you the opportunity to complete the course at your convenience, at any location, and at your own pace. The course is available 24 hours a day.
If the course requires a remote lab system, the lab system access is allocated on a first-come, first-served basis. When you are not using the elab system, ensure that you suspend your elab to maximize your hours available to use the elab system. Note: This does not add additional days to your Lab Environment time frame.
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