SQL Certified Expert

Oracle Database SQL Certified Experts demonstrate the complete set of skills required for working with the powerful SQL programming language and have mastered the key concepts of a relational database. SQL Experts understand how to use the advanced features of SQL in order to query and manipulate data within the database, control privileges at the object and system level, and use advanced querying and reporting techniques. They are able to manipulate large data sets and understand storing and retrieving dates according to different time zones. They are also knowledgeable about the concepts of controlling access and privileges for schema objects.

This course prepares the participants for the Oracle Database: SQL Database Certified SQL Expert Exam (Exam Code : 1Z0-047)

Prerequisites:
Familiarity with data processing concepts and techniques Data processing

Certificate Of Attendance:
Certificate Of Attendance will be awarded to participants completing the course achieving minimum 75% attendance.

Training Duration:
Full-time: 5 Weekdays / 5 Sats Time : 9.30am - 5.30pm
Part-time: 10 Sessions Time : 7.00pm - 10.00pm (twice a week)

1. Retrieving Data Using the SQL SELECT Statement
List the capabilities of SQL SELECT statements  
Execute a basic SELECT statement 
Describe how schema objects work

2. Restricting and Sorting Data
Limit the rows that are retrieved by a query  
Sort the rows that are retrieved by a query

3. Using Single-Row Functions to Customize Output
Describe various types of functions that are available in SQL  
Use character, number, and date functions in SELECT statements 
Describe the use of conversion functions 

4. Reporting Aggregated Data Using the Group Functions
Identify the available group functions
Describe the use of group functions 
Group data by using the GROUP BY clause 
Include or exclude grouped rows by using the HAVING clause 

5. Displaying Data from Multiple Tables
Write SELECT statements to access data from more than one table using equijoins and nonequijoins
Join a table to itself by using a self-join 
View data that generally does not meet a join condition by using outer joins 
Generate a Cartesian product of all rows from two or more tables 

6. Using Subqueries to Solve Queries
Define subqueries
Describe the types of problems that subqueries can solve 
List the types of subqueries 
Write single-row and multiple-row subqueries

7. Using the Set Operators
Describe set operators
Use a set operator to combine multiple a single query
Control the order of rows returned

8. Manipulating Data
Describe each data manipulation language (DML) statement
Insert rows into a table 
Update rows in a table 
Delete rows from a table 
Control transactions

9. Using DDL Statements to Create and Manage Tables
Categorize the main database objects  
Review the table structure 
List the data types that are available for columns 
Create a simple table 
Explain how constraints are created at the time of table creation

10. Creating Other Schema Objects  
Create simple and complex views
Retrieve data from views 
Create, maintain, and use sequences 
Create and maintain indexes 
Create private and public synonyms

11. Managing Objects with Data Dictionary Views
Use the data dictionary views to research data on your objects
Query various data dictionary views 

12. 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 

 13. Managing Schema Objects
Add constraints
Create indexes 
Create indexes using the CREATE TABLE statement 
Creating function-based indexes 
Drop columns and set column UNUSED 
Perform FLASHBACK operations 
Create and use external tables

14. Manipulating Large Data Sets
Manipulate data using subqueries
Describe the features of multitable INSERTs 
Use the following types of multita ble INSERTs (Unconditional, Conditional and Pivot) 
Merge rows in a table 
Track the changes to data over a period of time

15. Generating Reports by Grouping Related Data
Use the ROLLUP operation to produce subtotal values
Use the CUBE operation to produce crosstabulation values 
Use the GROUPING function to identify the row values created by ROLLUP or CUBE 
Use GROUPING SETS to produce a single result set

16. Retrieving Data Using Subqueries
Write a multiple-column subquery
Use scalar subqueries in SQL 
Solve problems with correlated subqueries 
Update and delete rows using correlated subqueries 
Use the EXISTS and NOT EXISTS operators 
Use the WITH clause

17. Hierarchical Retrieval
Interpret the concept of a hierarchical query
Create a tree-structured report 
Format hierarchical data 
Exclude branches from the tree structure

18. Regular Expression Support
Using Meta Characters
Regular Expression Functions 
Replacing Patterns 
Regular Expressions and Check Constraints