Mastering Advanced SQL Techniques

Empower your data management skills with our Advanced SQL course, designed for IT professionals seeking mastery in complex database operations.

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Essential Skills Gained

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Master the entity-relationship database principles.

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Harness group functions for data aggregation.

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Craft intricate join queries across tables.

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Execute complex subqueries and set operations.

Format

  • Instructor-led
  • 2 days with lectures and hands-on labs.

Audience

  • Experienced SQL developers
  • Database specialists
  • Data analysis professionals
  • Advanced IT technicians

Description

Our course on Advanced SQL Techniques delivers a comprehensive guide to analyzing and managing relational databases expertly. Participants will revisit fundamental concepts like entity-relationship models, before advancing to practical applications of sophisticated SQL commands. Through hands-on exercises, you'll learn to create complex queries, manage database objects, and refine your data manipulation skills. Although Oracle SQL Developer is utilized for lab exercises, the skills acquired are transferable across various database environments.

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Upcoming Course Dates

October 2-3, 2025

10:00 AM - 6:00 PM

Virtual: Online - US/Eastern

Enroll

$1895

November 20-21, 2025

10:00 AM - 6:00 PM

Virtual: Online - US/Eastern

Enroll

$1895

Course Outline

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Introduction to SQL Fundamentals

  1. Relational database basics.

  2. Understanding entity-relationship models.

  3. Modeling conventions overview.

  4. Course table structures.

Advanced Grouping Functions

  1. Overview of group functions.

  2. Usage of MIN and MAX.

  3. Handling null values in grouping.

  4. Efficient GROUP BY clause usage.

  5. Common grouping pitfalls.

  6. Applying the HAVING clause.

  7. Nested function execution.

Comprehensive Join Techniques

  1. Explaining join types.

  2. Utilizing natural joins.

  3. The USING clause in joins.

  4. Addressing ambiguous columns.

  5. ON clause join creation.

  6. Implementing nonequijoins.

  7. LEFT/RIGHT OUTER JOINS.

  8. Creating cross joins.

Subquery Utilization

  1. Subquery syntax basics.

  2. Examining subquery types.

  3. Executing single-row subqueries.

  4. Integrating subqueries with HAVING.

  5. Handling zero-result subqueries.

  6. Utilizing ALL in multiple-row subqueries.

  7. Multiple-column subquery applications.

  8. Managing nulls in subqueries.

Effective Set Operations

  1. Set operation rules.

  2. UNION operation process.

  3. Employing INTERSECT operators.

  4. The MINUS operator.

  5. SELECT statement matching.

  6. ORDER BY in set operations.

Table Management via DML

  1. HR scenario application.

  2. Using Data Manipulation Language.

  3. Inserting new data.

  4. Specifying date/time values.

  5. UPDATE syntax explained.

  6. Subquery updates.

  7. Row deletion techniques.

  8. TRUNCATE statement use.

  9. Data commit strategies.

  10. Ensuring read consistency.

Introducing Data Definition Language

  1. Database object essentials.

  2. Naming conventions.

  3. Overview of data types.

  4. CREATE TABLE statement.

  5. Constraint management: NOT NULL, UNIQUE, etc.

  6. Table creation using subqueries.

  7. ALTER TABLE usage.

  8. DROP TABLE statement.

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