Oracle Database 19c: Data Warehousing Concepts Course Overview

Oracle Database 19c: Data Warehousing Concepts Course Overview

The Oracle Database 19c: Data Warehousing Concepts course provides a comprehensive insight into the world of data warehousing, focusing on the evolution and management of information. It is designed to help learners understand the architecture and processes that underpin effective data warehouses.

Module 1 sets the stage with a course overview, delineating what students can expect to learn.

In Module 2, learners delve into the evolution of information management and data warehousing, exploring the requirements for business intelligence and how they have shaped modern data practices.

Module 3 provides an overview of data warehouse and multidimensional model concepts, detailing various architectures and the components of the data warehousing process.

Module 4 covers the different types of models - business, logical, dimensional, and physical - and discusses primary key and foreign key relationships, as well as the importance of determining granularity in data.

Module 5 introduces the concepts of extracting, transforming, and loading data (ETL), which are critical for building and maintaining a data warehouse.

Finally, Module 6 offers an introduction to various data warehousing platforms and tools that can be utilized in conjunction with Oracle Database 19c.

Overall, this course equips learners with the knowledge to design, implement, and maintain an efficient data warehouse, a skill that is highly valuable in the era of big data and analytics.

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Course Prerequisites

To ensure that participants can maximize their learning experience and successfully undertake the Oracle Database 19c: Data Warehousing Concepts course, the following are the minimum required prerequisites:


  • Basic understanding of relational databases, including familiarity with the concept of tables, rows, and columns.
  • Knowledge of SQL, including the ability to write simple queries to retrieve and manipulate data.
  • Fundamental awareness of database design principles and normalization.
  • A general idea of the purpose and functions of a data warehouse.
  • An interest in learning how to manage and analyze large volumes of data for business intelligence.

It is not necessary for participants to have advanced IT skills or extensive experience with Oracle Database technologies prior to taking this course. The curriculum is designed to introduce and build upon each concept methodically, making the course suitable for individuals who meet the above prerequisites.


Target Audience for Oracle Database 19c: Data Warehousing Concepts

  1. Oracle Database 19c: Data Warehousing Concepts course is designed for IT professionals focusing on data management and analytics.


  2. Target audience for the Oracle Database 19c: Data Warehousing Concepts course:


  • Data Warehouse Administrators
  • Database Administrators
  • Business Intelligence Professionals
  • Data Analysts
  • Data Architects
  • Data Scientists
  • IT Managers overseeing data storage and analysis
  • Database Developers
  • ETL (Extract, Transform, Load) Developers
  • SQL Programmers
  • Data Modellers
  • System Analysts
  • Technical Consultants specializing in data warehousing solutions
  • Enterprise Architects


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

  1. Introduction: This Oracle Database 19c: Data Warehousing Concepts course provides a comprehensive understanding of data warehousing, its evolution, architecture, modeling, and the tools and platforms used for efficient data management.

  2. Learning Objectives and Outcomes:

  • Understand the evolution of information management and the fundamentals of data warehousing.
  • Recognize the requirements necessary to support Business Intelligence initiatives.
  • Comprehend the concepts of data warehouses and multidimensional data models.
  • Learn about different data warehouse architectures and the components of the data warehousing process.
  • Gain knowledge of business, logical, dimensional, and physical models within a data warehouse.
  • Determine the granularity of data and its impact on the data warehouse design.
  • Identify the roles of primary keys and foreign keys in data warehousing.
  • Get an introduction to the Extract, Transform, Load (ETL) process and its significance in data warehousing.
  • Discover the various data warehousing platforms and tools available for effective data management.
  • Develop an understanding of how to leverage Oracle Database 19c features for optimizing data warehousing solutions.