Welcome to Fundamentals of Data Warehousing, a crucial course within the Key Technologies of Data Analytics specialization. This course provides a comprehensive introduction to the core concepts, components, and design approaches of data warehousing. Through a series of engaging modules, you will delve into the fundamental aspects of data warehousing, including data integration, time-variant systems, nonvolatile data, and subject-oriented architectures.
The course is structured to offer a hands-on learning experience, enabling you to add storage to your cloud environment and configure a database. You will explore the primary components of data warehousing, including database structures, ETL (Extract, Transform, Load) and ELT (Extract, Load, Transform) processes, metadata, and various tools used in data warehousing.
Moreover, you will gain insights into different design approaches such as single-tier, two-tier, and three-tier architectures. The comprehensive overview provided in this course will equip you with the foundational knowledge and skills necessary to understand and work with data warehousing effectively.
Certificate Available ✔
Get Started / More Info
The course is divided into three modules: 1. Concepts: Understand the core concepts of data warehousing, including subject-oriented, integrated, time-variant, and nonvolatile data. 2. Components: Explore database structures, ETL/ELT processes, metadata, and tools used in data warehousing. 3. Design and Architecture: Gain insights into different design approaches such as single-tier, two-tier, and three-tier architectures for data warehousing.
Module 1: Concepts
In this module, you will delve into the core concepts of data warehousing, including subject-oriented, integrated, time-variant, and nonvolatile data. The hands-on material will provide an in-depth understanding of these concepts, enabling you to grasp the critical components of data warehousing architectures.
Module 2: Components
This module focuses on exploring database structures, ETL/ELT processes, metadata, and various tools used in data warehousing. Through hands-on exercises and demonstrations, you will gain practical insights into adding storage to your cloud environment and configuring a database.
Module 3: Design and Architecture
Gain insights into different design approaches such as single-tier, two-tier, and three-tier architectures for data warehousing. This module offers a comprehensive overview of the various architectural designs, providing you with a solid foundation in data warehousing design and architecture.
Data Analysis and Presentation Skills: the PwC Approach is a comprehensive specialization that equips learners with the knowledge and practical skills needed to...
商务基础 (中文版) course provides practical skills to evaluate real business opportunities and communicate strategic plans effectively in the corporate world....
Privacy Law and HIPAA course equips learners with the knowledge to navigate complex privacy requirements, protect personal information, and ensure compliance with...
This course on Agribusiness Management offers comprehensive insights into the fundamental theories and concepts of enterprise management, integrating economics,...