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Oracle Database 12c R2: SQL Workshop II Ed 2 Course Overview

Oracle Database 12c R2: SQL Workshop II Ed 2 Course Overview

The Oracle Database 12c SQL Workshop II Ed 2 course is an advanced training program designed to equip learners with an in-depth understanding of Oracle SQL and its advanced features. This course delves into complex data structures, data management, and manipulation techniques essential for high-level database operations. Starting with a review of basic SQL concepts, the program progresses to explore the data dictionary, sequences, synonyms, and indexes, and instructs how to create and manage views and schema objects.

Learners will gain hands-on experience with subqueries, both in data retrieval and manipulation, and understand how to control user access to the database effectively. The course also covers data manipulation strategies, including the use of the MERGE statement and multi-table inserts, as well as performing flashback operations and tracking changes. Additionally, the course addresses managing data across different time zones with functions and INTERVAL data types.

By completing this course, students will enhance their skill set, allowing them to efficiently manage and manipulate data within an Oracle Database 12c SQL workshop environment, making them valuable assets in the field of database administration and development.

This is a Rare Course and it can be take up to 3 weeks to arrange the training.

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  • Live Online Training (Duration : 16 Hours)
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  • Live Online Training (Duration : 16 Hours)
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Course Prerequisites

Certainly! Here are the minimum required prerequisites for successfully undertaking the Oracle Database 12c R2: SQL Workshop II Ed 2 course:


  • Basic knowledge of data processing concepts and techniques.
  • Understanding of data management and relational database design concepts.
  • Familiarity with programming fundamentals.
  • Prior completion of the Oracle Database 12c R2: SQL Workshop I course or equivalent experience writing basic SQL queries, including SELECT, JOIN, and GROUP BY clauses.
  • Basic familiarity with the Oracle Database architecture (optional but beneficial).

These prerequisites are designed to ensure that participants are able to keep pace with the course material and fully benefit from the advanced SQL concepts that will be covered.


Target Audience for Oracle Database 12c R2: SQL Workshop II Ed 2

The Oracle Database 12c R2: SQL Workshop II Ed 2 course is designed for professionals seeking advanced SQL knowledge and skills.


  • Database Administrators
  • SQL Database Developers
  • Data Analysts
  • BI (Business Intelligence) Professionals
  • Data Scientists with a focus on SQL databases
  • IT Managers overseeing database or analytics departments
  • Software Engineers who need to interact with Oracle databases
  • Oracle Database Consultants
  • Technical Support Engineers working with Oracle Database environments
  • Database Designers looking to expand their SQL skills
  • ERP (Enterprise Resource Planning) Professionals
  • CRM (Customer Relationship Management) System Administrators


Learning Objectives - What you will Learn in this Oracle Database 12c R2: SQL Workshop II Ed 2?

Introduction to Learning Outcomes:

Gain advanced SQL skills with Oracle Database 12c R2: SQL Workshop II Ed 2, covering data dictionary views, complex subqueries, schema management, user access control, data manipulation techniques, and handling time zone data.

Learning Objectives and Outcomes:

  • Understand the structure and use of the Oracle Data Dictionary Views to extract metadata and system information.
  • Create and manage sequences, synonyms, and indexes to optimize database performance and manage object naming.
  • Construct and manage complex views for data representation and security purposes.
  • Manage schema objects including constraints, temporary tables, and external tables for data integrity and external data access.
  • Use advanced subquery techniques, including scalar, correlated subqueries, and the WITH clause for sophisticated data retrieval.
  • Manipulate data using subqueries in DML operations like INSERT, UPDATE, and DELETE to maintain data accuracy and integrity.
  • Control user access with system and object privileges, roles, and the WITH CHECK OPTION for secure data manipulation.
  • Perform advanced data manipulation using explicit defaults, multitable INSERTs, MERGE statements, and flashback operations for effective data management.
  • Track changes in data over time to understand data modifications and maintain historical accuracy.
  • Manage and query data across different time zones using date, time, and interval data types and functions for global applications.