Data Engineering Foundations
With Harshit Tyagi
Liked by 3,489 users
Duration: 1h 5m
Skill level: Beginner + Intermediate
Released: 2/17/2021
Course details
Data science can be generally defined as the process of making data useful, and data engineering is a key part of how and why. If you think of data science like a race car, the data engineers are the pit crew. They’re not driving the car, but they make the car much easier to drive. Data engineers make sure the data flow is running smoothly, monitor systems, anticipate problems, and repair the data pipeline whenever problems arise. They extract and gather data from multiple sources and load it into a single, easy-to-query database. In short, data engineers make data scientists’ lives easier.
In this course, Harshit Tyagi explains the fundamentals of data engineering. He covers key topics like data wrangling, database schema, and developing ETL pipelines. He also details several data engineering tools like Hive, Hadoop, Spark, and Airflow. By the end of this course, it should be abundantly clear why the data engineer is one of the most valuable people in a data-driven organization.Skills you’ll gain
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Meet the instructor
Learner reviews
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Pablo Dominguez
Pablo Dominguez
Experience: In project management with logistics, purchasing and inventory, finance, budgeting, and reengineering with a primary emphasis in learning…
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Saeed Al Aleeli
Saeed Al Aleeli
Analyst I Heavy Section I Continuous improvement I Innovation & Excellence | 3D Moudling & Concept's |Data Analytics | Industrial and Systems…
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Contents
What’s included
- Practice while you learn 2 exercise files
- Test your knowledge 3 quizzes
- Learn on the go Access on tablet and phone
- Stay up to date Continuing Education Units
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