Understanding Data Engineering
4.6+
79 reviewsBeginner
Discover how data engineers lay the groundwork that makes data science possible. No coding involved!
Start Course for Free2 Hours11 Videos32 Exercises160,259 Learners2300 XPData Engineer TrackUnderstanding Data Topics Track
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Course Description
In 2019, the average salary for data engineers overtook data scientists. How did this happen? Companies wanting to find the gold within their data realized it wasn’t possible if they hadn’t yet built the mine. Data engineers lay the foundations that make data science possible.
In this course, you’ll learn about a data engineer’s core responsibilities, how they differ from data scientists, and facilitate the flow of data through an organization. Through hands-on exercises you’ll follow Spotflix, a fictional music streaming company, to understand how their data engineers collect, clean, and catalog their data. By the end of the course, you’ll understand what your company's data engineers do, be ready to have a conversation with a data engineer, and have a solid foundation to start your own data engineer journey.
In this course, you’ll learn about a data engineer’s core responsibilities, how they differ from data scientists, and facilitate the flow of data through an organization. Through hands-on exercises you’ll follow Spotflix, a fictional music streaming company, to understand how their data engineers collect, clean, and catalog their data. By the end of the course, you’ll understand what your company's data engineers do, be ready to have a conversation with a data engineer, and have a solid foundation to start your own data engineer journey.
- 1
What is data engineering?
FreeIn this chapter, you’ll learn what data engineering is and why demand for them is increasing. You’ll then discover where data engineering sits in relation to the data science lifecycle, how data engineers differ from data scientists, and have an introduction to your first complete data pipeline.
- 2
Storing data
It’s time to talk about data storage—one of the main responsibilities for a data engineer. In this chapter, you’ll learn how data engineers manage different data structures, work in SQL—the programming language of choice for querying and storing data, and implement appropriate data storage solutions with data lakes and data warehouses.
- 3
Moving and processing data
Data engineers make life easy for data scientists by preparing raw data for analysis using different processing techniques at different steps. These steps need to be combined to create pipelines, which is when automation comes into play. Finally, data engineers use parallel and cloud computing to keep pipelines flowing smoothly.
Datasets
LexiconCollaborators
Hadrien Lacroix
Curriculum Manager at DataCamp
Hadrien has collaborated on 30+ courses ranging from machine learning to database administration through data engineering. He's currently enrolled in a Masters of Analytics at Georgia Tech.
Hadrien started using DataCamp when the platform only had 27 courses. He then joined the Support team and helped students before becoming a Content Developer himself.
Follow Hadrien on LinkedIn
Hadrien started using DataCamp when the platform only had 27 courses. He then joined the Support team and helped students before becoming a Content Developer himself.
Follow Hadrien on LinkedIn
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*4.6from 79 reviews
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- Abdulrahaman S.2 days
It was a good introduction to Data Engineering. I had the impression it was a complex career path but the course simplified it and alas! I’m loving it so far
- Wynn O.2 days
It’s very informative for a beginner like me.
- Olanrewaju B.5 days
The courses are concise and straightforward. It is a good introductory course to Engineering for any looking for a career in Data or a DataChamp.
- Wandile M.15 days
Great course
- Alex M.16 days
Great coz it makes someone remember what has been taught
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"It was a good introduction to Data Engineering. I had the impression it was a complex career path but the course simplified it and alas! I’m loving it so far"
Abdulrahaman S.
"It’s very informative for a beginner like me."
Wynn O.
"The courses are concise and straightforward. It is a good introductory course to Engineering for any looking for a career in Data or a DataChamp."
Olanrewaju B.
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