Overview of Data Engineering | Data Engineer Full Course | Lecture 1
Welcome to the first lecture of the Data Engineering Full Course series by AmpCode! 🚀 In this video, we’ll dive into the fundamentals of data engineering, covering everything you need to know to kickstart your journey. Whether you're a beginner or looking to deepen your understanding, this overview will set the foundation for the entire course.
🔍 What You'll Learn:
What is Data Engineering?
The role of a Data Engineer
Key concepts and technologies
How Data Engineering fits into the bigger picture of data science and analytics
Join us as we explore the essentials and get ready for an exciting journey into the world of data engineering!
🔔 Don’t forget to subscribe to AmpCode for more lectures and updates. Hit the like button if you found this video helpful and share it with your network. Let's build something great together!
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Audience
This tutorial has been prepared for professionals/students aspiring to learn deep knowledge of Big Data Analytics using Apache Spark and become a Spark Developer and Data Engineer roles. In addition, it would be useful for Analytics Professionals and ETL developers as well.
Prerequisites
Before proceeding with this full course, it is good to have prior exposure to Python programming, database concepts, and any of the Linux operating system flavors.
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Check out our full course topic wise playlist on some of the most popular technologies:
SQL Full Course Playlist-
• SQL Full Course
PYTHON Full Course Playlist-
• Python Full Course
Data Warehouse Playlist-
• Data Warehouse Full Course
Unix Shell Scripting Full Course Playlist-
• Unix Shell Scripting Full Course
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Channel Description-
AmpCode provides you e-learning platform with a mission of making education accessible to every student. AmpCode will provide you tutorials, full courses of some of the best technologies in the world today. By subscribing to this channel, you will never miss out on high quality videos on trending topics in the areas of Big Data & Hadoop, DevOps, Machine Learning, Artificial Intelligence, Angular, Data Science, Apache Spark, Python, Selenium, Tableau, AWS , Digital Marketing and many more.
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