Oracle Database 23ai: SQL Workshop

• Familiarity with data processing concepts and techniques
• Familiarity with programming languages

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Target Audience

• Developers
• Database Administrators

• Understand the core concepts of Oracle Database 23c and its related products.
• Learn relational database management concepts and terminologies.
• Utilise SQL to query databases effectively.
• Retrieve, restrict, and sort data using SQL statements.
• Customise output using single-row functions.
• Convert data types and use conditional expressions.
• Report aggregated data using group functions.
• Display data from multiple tables using joins.
• Solve queries using subqueries.
• Use set operators for data manipulation.
• Manage tables using DML statements.
• Create and manage database objects including sequences, synonyms, indexes, and views.
• Control user access and privileges.
• Manage data across different time zones.

1. Introduction

• Overview of Oracle Database 23c and related products
• Relational database management concepts and terminologies
• Introduction to SQL and its development environments
• Oracle Database 23c SQL documentation and additional resources

2. Retrieving Data Using the SQL SELECT Statement

• Capabilities of SQL SELECT statements
• Arithmetic expressions and NULL values in the SELECT statement
• Column aliases
• DESCRIBE command

3. Restricting and Sorting Data

• Limiting rows using the WHERE clause
• Sorting rows using the ORDER BY clause
• SQL row limiting clause in a query
• Substitution variables
• Assigning values to variables

4. Using Single-Row Functions to Customise Output

• Single-row SQL functions
• Character functions
• Number functions
• Working with dates
• Date functions

5. Using Conversion Functions and Conditional Expressions

• Implicit and explicit data type conversion
• TO_CHAR, TO_DATE, and TO_NUMBER functions
• General functions (NVL, NVL2, NULLIF, COALESCE)
• Conditional expressions (CASE, DECODE)
• JSON functions

6. Reporting Aggregated Data Using the Group Functions

• Group functions
• Grouping rows
• Nesting group functions

7. Displaying Data from Multiple Tables Using Joins

• Types of joins and their syntax
• Natural join
• Join with the USING clause
• Join with the ON clause
• Self-join
• Nonequijoins
• Outer join
• Cartesian product

8. Using Subqueries to Solve Queries

• Subquery types, syntax, and guidelines
• Single-row subqueries
• Multiple-row subqueries
• Multiple-column subqueries
• Null values in a subquery

9. Using Set Operators

• Types and guidelines of set operators
• UNION and UNION ALL operators
• INTERSECT operator
• MINUS operator
• Matching SELECT statements
• Using the ORDER BY clause in set operations

10. Managing Tables Using DML Statements

• Adding new rows in a table
• Changing data in a table
• Removing rows from a table
• Database transaction control
• Read consistency
• Manual data locking

11. Introduction to Data Definition Language

• Database objects
• CREATE TABLE statement
• Constraints
• ALTER TABLE statement
• DROP TABLE statement

12. Introduction to Data Dictionary Views

• Introduction to data dictionary
• Querying the dictionary views
• Adding a comment to a table

13. Creating Sequences, Synonyms, and Indexes

• Create, maintain, and use sequences
• Create private and public synonyms
• Create and maintain indexes

14. Creating Views

• Overview of views
• Creating, modifying, and retrieving data from a view
• DML operations on a view
• Dropping a view

15. Managing Schema Objects

• Manage constraints
• Create and use temporary tables
• Create and use external tables

16. Retrieving Data by Using Subqueries

• Retrieving data by using a subquery as a source
• Using scalar subqueries in SQL
• Solving problems with correlated subqueries
• Using the EXISTS and NOT EXISTS operators
• Using the WITH clause

17. Manipulating Data by Using Subqueries

• Using subqueries to manipulate data
• Inserting values by using a subquery as a target
• Using the WITH CHECK OPTION keyword on DML statements
• Using correlated subqueries to update and delete rows

18. Controlling User Access

• Differentiating system privileges from object privileges
• Creating a role
• Granting and revoking object privileges

19. Manipulating Data Using Advanced Queries

• Specifying explicit default values in INSERT and UPDATE statements
• Multitable INSERTs
• Merging rows in a table
• Performing flashback operations
• Tracking changes in data over a period of time

20. Managing Data in Different Time Zones

• CURRENT_DATE, CURRENT_TIMESTAMP, and LOCALTIMESTAMP
• DBTIMEZONE and SESSIONTIMEZONE
• TIMESTAMP and INTERVAL data types
• Additional date functions
• SYSDATE and SYSTIMESTAMP data handling