• Identify the major structural components of the Oracle Database 19c
• Create reports of aggregated data
• Write SELECT statements that include queries
• Retrieve row and column data from tables
• Run data manipulation statements (DML) in Oracle Database 19c
• Create tables to store data
• Utilize views to display data
• Control database access to specific objects
• Manage schema objects
• Display data from multiple tables using the ANSI SQL 99 JOIN syntax
• Manage objects with data dictionary views
• Write multiple-column sub-queries
• Employ SQL functions to retrieve customized data
• Use scalar and correlated sub-queries
• Create reports of sorted and restricted data
Introducing Oracle Database 19c
List the features of Oracle Database 19c
Discuss the basic design, theoretical and physical aspects of a relational database
Categorize the different types of SQL statements
Describe the data set used by the course
Log onto the database using the SQL Developer environment Save queries to files and use script files in SQL Developer
Retrieving Data Using the SQL SELECT Statement
List the capabilities of SQL SELECT statements
Generate a report of data from the output of a basic SELECT statement
Select All Columns
Select Specific Columns
Use Column Heading Defaults
Use Arithmetic Operators
Understand Operator Precedence
Learn the DESCRIBE command to display the table structure
Restricting and Sorting Data
Write queries that contain a WHERE clause to limit the output retrieved
List the comparison operators and logical operators that are used in a WHERE clause
Describe the rules of precedence for comparison and logical operators
Use character string literals in the WHERE clause
Write queries that contain an ORDER BY clause sort the output of a SELECT statement
Sort output in descending and ascending order
Using Single-Row Functions to Customize Output
Describe the differences between single row and multiple row functions
Manipulate strings with character function in the SELECT and WHERE clauses
Manipulate numbers with the ROUND, TRUNC and MOD functions
Perform arithmetic with date data
Manipulate dates with the date functions
Using Conversion Functions and Conditional Expressions
Describe implicit and explicit data type conversion
Use the TO_CHAR, TO_NUMBER, and TO_DATE conversion functions
Nest multiple functions
Apply the NVL, NULLIF, and COALESCE functions to data
Use conditional IF THEN ELSE logic in a SELECT statement
Reporting Aggregated Data Using the Group Functions
Use the aggregation functions in SELECT statements to produce meaningful reports
Create queries that divide the data in groups by using the GROUP BY clause
Create queries that exclude groups of date by using the HAVING clause
Displaying Data From Multiple Tables
Write SELECT statements to access data from more than one table
View data that generally does not meet a join condition by using outer joins
Join a table by using a self join
Using Sub-queries to Solve Queries
Describe the types of problem that sub-queries can solve
Define sub-queries
List the types of sub-queries
Write single-row and multiple-row sub-queries
Using the SET Operators
Describe the SET operators
Use a SET operator to combine multiple queries into a single query
Control the order of rows returned when using the SET operators
Manipulating Data
Describe each DML statement
Insert rows into a table with the INSERT statement
Use the UPDATE statement to change rows in a table
Delete rows from a table with the DELETE statement
Save and discard changes with the COMMIT and ROLLBACK statements
Explain read consistency
Using DDL Statements to Create and Manage Tables
Categorize the main database objects
Review the table structure
List the data types available for columns
Create a simple table
Decipher how constraints can be created at table creation Describe how schema objects work
Creating Other Schema Objects
Create a simple and complex view
Retrieve data from views
Create, maintain, and use sequences
Create and maintain indexes
Create private and public synonyms
Controlling User Access
Differentiate system privileges from object privileges
Grant privileges on tables
View privileges in the data dictionary
Grant roles
Distinguish between privileges and roles
Managing Schema Objects
Add constraints
Create indexes
Create indexes using the CREATE TABLE statement
Create function-based indexes
Drop columns and set column UNUSED
Perform FLASHBACK operations
Create and use external tables
Managing Objects with Data Dictionary Views
Explain the data dictionary
Find table information
Report on column information
View constraint information
Find view information
Verify sequence information
Understand synonyms
Add comments
Manipulating Large Data Sets
Manipulate data using sub-queries
Describe the features of multi-table inserts
Use the different types of multi-table inserts
Merge rows in a table
Track the changes to data over a period of time
Managing Data in Different Time Zones
Use data types similar to DATE that store fractional seconds and track time zones
Use data types that store the difference between two date-time values
Practice using the multiple data-time functions for globalize applications
Retrieving Data Using Sub-queries
Write a multiple-column sub-query
Use scalar sub-queries in SQL
Solve problems with correlated sub-queries
Update and delete rows using correlated sub-queries
Use the EXISTS and NOT EXISTS operators
Use the WITH clause
Regular Expression Support
List the benefits of using regular expressions
Use regular expressions to search for, match, and replace string
Required fields are marked (*).
Anamnagar - 32 Kathmandu, Nepal
info@labanepal.com
+977-1-4102721, 4102722, 4244804
10 AM - 5 PM
Required fields are marked (*).
Anamnagar - 32 Kathmandu, Nepal
info@labanepal.com
+977-1-4102721, 4102722, 4244804
10 AM - 5 PM