| Sumario: | This course introduces learners to the fundamentals of data engineering, and is closely related to material in the book Fundamentals of Data Engineering by Joe Reis and Matt Housley. The course is dedicated to teaching data engineering ideas and principles. The goal of this course is to expose students to core concepts and practices to introduce them to the data engineering career path. Further data engineering training can lead to a career in the discipline or allow students to apply data engineering concepts in their current role. The course covers the stages of the data engineering lifecycle (generation, ingestion, storage, transformation, serving) and the major undercurrents that cut across all stages (security, data management, orchestration, etc.) Learners will gain an understanding of the history of data engineering, current trends, and career prospects. What you'll learn and how you can apply it Understand the stages of the data engineering lifecycle Be able to identify the various underlying components of the field, including security, data management, and orchestration This course is for you because... You're a data engineer who wants to gain a broader understanding of data engineering. You may be familiar with specific tools or technologies, but you are looking for a more holistic, vendor agnostic understanding of data engineering practices. You're a software engineer or data scientist who wants to transition into data engineering, or who may even be doing some data engineering work in your current role. You're a data team manager who wants to understand how to better optimize their team and contribute positively to the organization as a whole. Prerequisites: Beginner understanding of the field of data Beginner to mid-level knowledge of cloud systems and databases.
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