Oracle Database 19c: Data Warehousing Techniques Course Overview

Oracle Database 19c: Data Warehousing Techniques Course Overview

The "Oracle Database 19c: Data Warehousing Techniques" course is designed to give learners an in-depth understanding of the various processes involved in building, maintaining, and optimizing a data warehouse using Oracle Database 19c. This course is particularly beneficial for database professionals who are responsible for data warehouse administration and development.

Throughout the course, participants will dive into data extraction techniques, learning about both the process and the specific methods used to retrieve data from different sources. They will then move on to data transformation, exploring how to convert raw data into a format suitable for analysis and reporting.

The course also covers the critical aspects of data loading, with lessons on the different techniques supported by Oracle, as well as database sizing, storage, and security considerations, including data partitioning. Learners will gain insights into data refresh techniques and how to apply changes to the data warehouse efficiently.

Summary management and refresh modes are discussed to optimize query performance through aggregation and summarization. Metadata management is another key topic, where students will understand the importance of a metadata strategy and the considerations involved.

Finally, the course concludes with data warehouse implementation considerations, ensuring that learners are well-equipped to make informed decisions during the setup and maintenance of a data warehouse.

By completing this course, learners will be able to apply data warehousing techniques effectively within the Oracle Database 19c environment, leading to improved data management, better performance, and enhanced decision-making capabilities for their organizations.

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Course Prerequisites

To ensure that participants can fully benefit from the Oracle Database 19c: Data Warehousing Techniques course, the following prerequisites are recommended:


  • Basic understanding of database concepts, including relational database principles.
  • Familiarity with SQL, including the ability to write and understand SQL queries.
  • Knowledge of Oracle Database fundamentals, such as the roles of different database components and an understanding of the Oracle architecture.
  • Some experience with database design or administration would be beneficial.
  • An interest in learning about data warehousing concepts and techniques.

These prerequisites are intended to provide a foundation that will help you grasp the course material effectively. No prior experience with data warehousing is required, making the course suitable for beginners who meet the above criteria.


Target Audience for Oracle Database 19c: Data Warehousing Techniques

Oracle Database 19c: Data Warehousing Techniques course is designed for professionals seeking advanced skills in managing data warehouses.


  • Database Administrators
  • Data Warehouse Administrators
  • Data Engineers
  • Business Intelligence Professionals
  • Data Analysts
  • IT Managers overseeing data storage solutions
  • System Architects designing data warehousing solutions
  • Database Developers implementing data warehousing strategies
  • Data Scientists requiring knowledge of data warehousing techniques for large datasets
  • ETL (Extract, Transform, Load) Developers
  • Technical Consultants specializing in Oracle technologies
  • IT Professionals aiming to upgrade their data warehousing skills to Oracle 19c standards.


Learning Objectives - What you will Learn in this Oracle Database 19c: Data Warehousing Techniques?

  1. Introduction: The Oracle Database 19c: Data Warehousing Techniques course provides comprehensive insights into data extraction, transformation, loading (ETL), and management strategies, ensuring efficient data warehouse implementation.

  2. Learning Objectives and Outcomes:

  • Understand the process and techniques of data extraction in the context of a data warehouse.
  • Learn the key concepts and methodologies for transforming data to meet the warehousing requirements.
  • Acquire the skills to implement effective data loading techniques using Oracle-supported methods.
  • Gain knowledge about optimizing database sizing, storage, and implementing robust security measures.
  • Explore data partitioning strategies to enhance performance and manageability.
  • Master data refresh techniques to ensure the data warehouse contains up-to-date information.
  • Develop proficiency in summary management, including understanding different refresh modes.
  • Grasp the essentials of metadata management, including devising a strategic approach to handle metadata.
  • Identify the considerations for implementing a successful data warehouse, including technology and business aspects.
  • Apply best practices for the end-to-end development process of a data warehouse using Oracle Database 19c.