Welcome to “Data Engineering Fundamentals,” a comprehensive course designed to provide you with a solid foundation in the essential concepts, methodologies, and tools used in the field of Data Engineering.

There are three sections in this course.

Section 1 lays the groundwork for understanding Data Engineering, a critical discipline within data science and analytics. In this section, you will explore the core principles, methodologies, and tools that define Data Engineering. You will gain insights into its role and importance in comparison to other data professions, setting the stage for deeper exploration and application in the field.

Section 2 delves into the various data storage systems and technologies crucial for managing and analyzing data in today’s business environment. You will learn about relational and non-relational databases, data warehouses, scalable technologies such as Hadoop Distributed File System (HDFS) and Apache Spark. Understanding these concepts is vital for effectively managing and leveraging data, driving innovation, and maintaining competitiveness in a data-driven world.

Section 3 emphasizes the importance of data governance and compliance. You will learn about the strategies and practices necessary to protect the security, privacy, and integrity of data throughout its lifecycle. This section underscores the critical role of data governance in maintaining trust and ensuring compliance with regulatory requirements.

This course aims to equip you with the knowledge and skills necessary to build a strong foundation in Data Engineering.