Oracle SQL LP - Intermediate

Participants are expected to have a basic understanding of SQL fundamentals, including table creation, data insertion, and basic query construction. 

Prior experience with Oracle SQL or any other relational database management system is beneficial but not mandatory. 

Familiarity with database concepts such as primary keys, foreign keys, and data normalization will be advantageous.

The Oracle SQL Intermediate Course is designed to bridge the gap between fundamental SQL concepts and advanced techniques, providing participants with a comprehensive understanding of intermediate-level SQL operations using Oracle Database. Through hands-on exercises and practical examples, participants will delve into various topics, including table joins, summary functions, hierarchical queries, set operators, analytic functions, execution plans, and indexes.

By the end of this training, participants will be able to:

• Gain proficiency in intermediate-level SQL operations necessary for querying and manipulating data in Oracle Database environments.
• Develop a deep understanding of table joins, summary functions, hierarchical queries, set operators, and analytic functions.
• Learn advanced techniques for optimizing SQL queries and improving database performance.
• Enhance problem-solving skills through hands-on exercises and real-world SQL scenarios.
• Gain confidence to tackle complex SQL challenges and advance their career in database management and development.

Format of the Course

• Interactive lecture and discussion.
• Lots of exercises and practice.
• Hands-on implementation in a live-lab environment.

Course Customization Options

• To request a customized training for this course, please contact us to arrange.

Quick Recap on Table Joins, Queries, and Basic Summary Functions:

• Review the concepts of primary keys and foreign keys for maintaining data integrity.
• Differentiate between inner joins and outer joins for combining data from multiple tables.
• Understand the significance of link tables and self-joins in relational databases.
• Utilize WHERE and HAVING clauses for data filtering and conditional aggregation.
• Explore Common Table Expressions (CTEs) for defining temporary result sets.
• Incorporate sub-queries as columns within SELECT statements for advanced data manipulation.
• Master main summary functions such as COUNT, SUM, AVG, MIN, and MAX.
• Learn to group data using the GROUP BY clause and apply filtering conditions with the HAVING clause.

Extended Summary Functions:

• Explore advanced summary functions including ROLLUP, CUBE, GROUPING, and GROUPING_ID for multi-level aggregation and subtotaling.

Hierarchical Queries:

• Learn to query hierarchical data structures using the CONNECT BY PRIOR syntax.
• Understand recursive Common Table Expressions (CTEs) for handling hierarchical data relationships.

Data Densification:

• Utilize techniques such as CONNECT BY ROWNUM and recursive CTEs for data densification.
• Explore the concept of partitioned outer joins for expanding data sets.

Set Operators:

• Master set operations including UNION, UNION ALL, INTERSECT, and MINUS for combining and comparing data sets.

Analytic/Window Functions:

• Explore a variety of analytic functions for performing calculations across rows and columns.
• Learn ranking functions such as ROW_NUMBER, RANK, and DENSE_RANK for data ranking and ordering.
• Understand Lead and Lag functions for accessing data from preceding or following rows.
• Utilize percentile functions for analyzing data distribution.

Execution Plan and Indexes:

• Understand how to analyze and interpret SQL execution plans for query optimization and performance tuning.
• Explore the role of indexes in improving query performance and data retrieval efficiency.