Big Data Pipeline Master; Tools and Techniques for Success

Hello teacher! I graduated from business administration and wanted to work on the field, so I have been studying development for over a year. I hear the words big data and big data processing a lot every day around me, so I want to know, but it is burdensome... Through this lecture, I covered each cycle in detail, so I think I learned a lot about data pipelines. First of all, since the time given was not much, I listened as much as I could, but I will review it during the remaining period and proceed with my own project based on it~~~!!! Please give me a lot of advice. Thank you~~!!

Big data was something I had only vaguely felt, but after listening to the lecture, I began to understand the concept and imagine how to use it. The instructor has good diction and the lecture curriculum flows well in sequence. Thank you for the great lecture!

I am currently running an interior startup! In the past, I didn't need to know about server operation and data analysis, but recently, I thought I needed to know about the perspective and direction of data operation, so I happened to listen to it on the recommendation of an acquaintance. It is very helpful because the lecturer considers the other person's perspective. HDFS may be a big hurdle for me, so I am taking other lectures first. I should recommend it to my acquaintances. I hope you continue to launch good lectures and your business goes well!!!!!

I took this course because I had a vague curiosity about big data while working as a developer. While taking the course, I was able to understand it more easily because it didn't just explain the theory, but also gave a general background lecture. It was also great because it led practical exercises in detail in between!! If you still don't know what big data is and are starting out with a vague curiosity as a developer, I think this course will be very helpful!

Instructor. Thank you for the fun lecture. I haven't seen Inflearn lectures lately, but I'm watching the current lecture more interestingly than Mid. I think it's a lecture that condenses the know-how that was packed into a small amount of time as much as possible. If you make a more in-depth lecture next time (project-oriented, HDFS/Spark, AWS data analytics, etc.) it would be perfect. The current lecture was also very helpful. I thought it would be boring, but it's fun. I recommend this lecture to developers who want to know how to utilize the overall data platform. I don't usually write articles like this, but I'm writing this because it was helpful. Personally, one thing that's a bit disappointing is that the period is 4 months... I'm very disappointed that I can't watch it again when I want to. (I wonder if there's an extension event, Instructor Nam. -_-;;;) I watch it in detail once and watch it again a few months later. That way, it's imprinted in my head and I don't forget it.

Thank you so much for the lecture, it was really helpful

The lecture was really helpful! I'm working in the field, but there were a lot of things I didn't know while listening to the lecture, so there was a lot to learn. If I had studied Hadoop or Spark on my own, I would have gotten lost a lot and it would have taken a long time, but I really like it because the lecture explains it clearly. ㅎㅎ I will recommend it to many people around me. + My subscription expired before I could listen to about 10 lectures. Can I extend my subscription by 2 days? I will pay if it requires payment. ㅠㅠ

It helped me a lot in my learning.