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Pluralsight

Becoming a Data Engineer

via Pluralsight

Overview

This course provides foundational knowledge and skills to become a data engineer, covering the data ecosystem, tools, career paths, and real-world tasks.

In today's data-driven world, businesses and organizations are increasingly dependent on structured information to make strategic decisions. This demand has heightened the need for data engineers who can build and maintain robust data infrastructure. In this course, Becoming a Data Engineer, you'll gain a comprehensive understanding of the data engineering role, including the crucial skills and tools required to thrive in this field. First, you’ll explore the fundamental role of data engineering in the data ecosystem, understanding how data engineers collaborate with other data professionals and the main differences between data positions. Next, you’ll discover the essential skills that data engineers utilize in their daily work and the tools that assist data engineers in managing and analyzing vast amounts of data. Finally, you’ll learn various career paths in data engineering, including the educational and experiential routes you can take to enter this field, explore building a data domain portfolio, and see the best practices for professional growth in this career. When you’re finished with this course, you’ll have the fundamental knowledge of the data engineering role needed to understand the responsibilities and the lifecycle of data engineering in the industry.

Syllabus

  • Course Overview 1min
  • Understanding Data Engineering 13mins
  • How to Become a Data Engineer 18mins

Taught by

Alper Tellioglu

Reviews

4.9 rating at Pluralsight based on 29 ratings

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