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Oracle
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PL/SQL by Example - Beginner to Advanced PL/SQL

Using PL/SQL learn how to combine the efficiency of SQL & Procedural Language(PL) to build a powerful PL/SQL Application

     
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PL/SQL by Example - Beginner to Advanced PL/SQL

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About PL/SQL by Example - Beginner to Advanced PL/SQL

Learn to become a PL/SQL developer in just four weeks. This fast, easy and effective course will take you from zero PL/SQL writing skills to being able to write efficient programs to process data. PL/SQL is the Oracle Procedural Language extension of SQL. A PL/SQL program can have both SQL statements and procedural statements. In the PL/SQL program, the SQL statements are used to access sets of data stored in a database, while the procedural statements are used to process individual piece of data and control the program flow.

In this course participants will learn

Describe the features and syntax of PL/SQL

Design PL/SQL anonymous blocks that execute efficiently

Use the Oracle supplied

PL/SQL packages

to generate screen output

Create and debug

Stored Procedures and Functions

Design PL/SQL packages to group related constructs

Use PL/SQL programming constructs and conditionally control code flow

Create overloaded package subprograms for more flexibility

Handle runtime errors using

Exceptions

Writing manageable code using Records

Storing and processing data using

Collections

Processing data using Implicit and Explicit

Cursors

Softwares used

Oracle Database 11g

SQL Developer

What You Will Learn?

  • Declare PL/SQL Variables .
  • Conditionally control code flow (loops, control structures) .
  • Use some of the Oracle supplied PL/SQL packages to generate screen output .
  • Create anonymous PL/SQL blocks, functions and procedures .
  • Use PL/SQL packages to group and contain related constructs .
  • Catch run time errors using Exceptions .
  • Perform Data processing using Records and Cursors .
  • Manage data using Collections .
  • Create triggers to solve business challenges .
  • Peform Bulk Processing to improve performance .
  • Execute SQL using Dynamic SQL .
  • Pipelining the data as it is processed .
  • Working with Large Objects (LOB's) Show moreShow less.