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Oracle Database 19c: SQL Workshop Course Overview

Oracle Database 19c: SQL Workshop Course Overview Popular

The Oracle Database 19c: SQL Workshop course is an extensive training program designed to teach learners the essential skills for working with the SQL language within the Oracle Database 19c environment. This course covers a broad spectrum of SQL techniques, from basic Data retrieval to more complex functions such as manipulating data and managing user access.

Starting with an introduction, participants quickly move on to learn how to retrieve data using the SQL SELECT statement, apply restrictions, sort data, and customize output with Single-row functions. Conversion functions, Conditional expressions, and Group functions are explored to report aggregated data.

Learners will gain practical experience with Multiple-table joins, Subqueries, Set operators, and data manipulation language (DML) statements. The course teaches data definition language (DDL) basics, explores data dictionary Views, and instructs on Creating sequences, Synonyms, Indexes, and Views. Schema object management, Advanced queries, User access control, and Managing data across different time zones are also key components of this comprehensive workshop.

By completing the Oracle Database 19c: SQL Workshop, participants will develop a robust understanding of Oracle SQL, enabling them to effectively manage and query an Oracle database, enhancing their database management and analysis skills.
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Course Prerequisites

Certainly! Here are the minimum required prerequisites for students interested in successfully undertaking the Oracle Database 19c: SQL Workshop course:


  • Basic computer literacy, including the ability to use a text editor and execute commands in a Windows or UNIX/Linux command-line environment.
  • Familiarity with data processing concepts and techniques. This includes an understanding of what databases are and how they are used in business contexts.
  • Fundamental knowledge of relational database concepts such as tables, rows, columns, and relationships.
  • No prior experience with SQL or Oracle Database is strictly required, as the course is designed to introduce SQL and Oracle Database fundamentals. However, any previous exposure to databases or SQL can be beneficial.
  • A willingness to learn and engage with the course material through hands-on exercises and practice.

Please note that the course is designed to accommodate beginners in SQL and Oracle Database technologies, gradually building up to more advanced topics. Students are encouraged to have a proactive learning attitude and to not hesitate to seek assistance from instructors when needed.


Target Audience for Oracle Database 19c: SQL Workshop

  1. The Oracle Database 19c: SQL Workshop is designed for professionals seeking to master SQL queries and database management.


  2. Target Audience for Oracle Database 19c: SQL Workshop:


  • Database Administrators
  • SQL Programmers
  • Data Analysts
  • BI (Business Intelligence) Professionals
  • Data Scientists
  • IT Managers overseeing database operations
  • Software Developers who interact with Oracle databases
  • Database Designers and Modelers
  • Technical Consultants implementing database solutions
  • System Analysts and Architects
  • Professionals preparing for Oracle SQL certification


Learning Objectives - What you will Learn in this Oracle Database 19c: SQL Workshop?

  1. The Oracle Database 19c: SQL Workshop course equips students with fundamental SQL skills, enabling data management and manipulation within Oracle databases.

  2. Learning Objectives and Outcomes:

  • Understand the basic concepts of relational databases and the powerful SQL programming language.
  • Acquire the ability to query, retrieve, and filter data using the SELECT statement and WHERE clause.
  • Learn to sort and restrict data output effectively to meet specific informational requirements.
  • Develop skills to customize and present data using Oracle SQL's single-row functions.
  • Utilize conversion functions and conditional expressions to transform and control data output.
  • Implement group functions to report on aggregated data, providing insights into data sets.
  • Master the use of various types of joins to display data from multiple related tables.
  • Gain proficiency in using subqueries, set operators, and advanced query techniques to solve complex problems.
  • Manage tables, modify data, and understand transaction control statements using DML.
  • Comprehend the Data Definition Language (DDL) to define and manage Oracle schema objects.
  • Control user access and manage data across different time zones for comprehensive data security and time-related querying.

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