1. We are the champions
Alright alright alright!
2. Actually, YOU are the champion!
You paid your dues time after time, and bad mistakes, you may have made a few, but you've come through and reached the end of the course.
3. What you learned - chapter 1
You've learned quite a lot of things. From the first chapter, you can now define data engineering, understand how important it is, explain how data engineers differ from data scientists, and how data pipelines ensure the data flows efficiently through an organization.
4. What you learned - chapter 2
From the second chapter, you can now cite the different structures data can take, and their pros and cons. You also understand why SQL is fundamental in data engineering, and can explain the differences between data lakes, data warehouses and database.
5. What you learned - chapter 3
From the third chapter, you can now explain what data processing consists in, and how scheduling holds the data processing tasks together. You also understand parallel computing and cloud computing.
6. And some more
You also learned a few other things, like what SQL code actually looks like, the main tools and technologies used in data engineering, and some more.
7. Pipeline
Also, we built quite a nice pipeline together!
8. Lexicon
On the right of the course page, at the bottom, you will find a section called datasets. This is where we usually put the datasets of our data science programming courses. Instead you will find a lexicon of all the technical terms covered in this course, that you can download if you want.
9. A promise is a promise, DataChamps!
Finally, a promise is a promise! At the end of chapter one, I told you that all the exercise names in this course are actually song titles, and that if you made it through the end I would let you know where to find the corresponding playlist.
So if you go on Spotify and search for "datachamp", you will have access to it!
10. Congratulations!
I hope you have a better understanding of data engineering, and that you had as much fun going through the course than I had creating it.
Congratulations on completing Data Engineering for Everyone, and thank you for taking it. Best of luck in your next endeavors!