Khóa học nhập môn Pipeline thời gian thực Kafka & Spark dành cho người mới bắt đầu. Khóa học trọn gói để nắm vững từ khái niệm cốt lõi đến kiến trúc.
Github, Actions và AWS Code Deploy để triển khai CI/CD
Kafka Broker, Confluent Producer & Consumer
Prometheus & Grafana: Giám sát Kafka Dashboard
Quản lý Catalog cho Spark & Hive Metastore
Thực hiện dự án thực tế dùng Spark Streaming
Kiểm tra tính sẵn sàng của Kafka & Spark, Zookeeper & Yarn
Tôi muốn tìm hiểu về đường ống dữ liệu thời gian thực.
Những người quan tâm đến đường ống dữ liệu nhưng không có kinh nghiệm xử lý thời gian thực
Tôi muốn biết về DataLake.
Bất kỳ ai quan tâm đến việc tìm hiểu cách DataLake được xây dựng trên nền tảng Đám mây được triển khai
Tôi muốn phát triển sự nghiệp với tư cách là một kiến trúc sư.
Bất kỳ ai tò mò về việc triển khai một kiến trúc mạnh mẽ có thể xử lý khối lượng lớn dữ liệu từ thiết kế cơ sở hạ tầng đến cấp độ mã
Khóa học này dành cho ai?
Ai muốn học Kafka & Spark
Người muốn học triển khai pipeline thời gian thực
Người cần phát triển nhiều kiến thức và kỹ năng của một Kỹ sư dữ liệu.
Cần biết trước khi bắt đầu?
Khái niệm cơ bản về Python
Kiến thức cơ bản về SQL (mức độ Filter, GroupBy, OrderBy)
Sử dụng lệnh Linux cơ bản được
977
Học viên
44
Đánh giá
170
Trả lời
4.9
Xếp hạng
2
Các khóa học
안녕하세요.
데이터 & AI 분야에서 일하고 있는 15년차 현직자입니다.
정보관리기술사를 취득한 이후 지금까지 얻은 지식을 많은 사람들에게 공유하고자 컨텐츠 제작하고 있습니다.
반갑습니다. :)
Contact: hjkim_sun@naver.com
Tất cả
113 bài giảng ∙ (28giờ 23phút)
Tài liệu khóa học:
Tất cả
8 đánh giá
5.0
8 đánh giá
Đánh giá 1
∙
Đánh giá trung bình 5.0
Đã chỉnh sửa
5
It was a remarkably high-quality lecture.. Simply moving. Usually when taking lectures, you often face situations like 'Why isn't it working when I followed exactly?', and there would be quite a few such cases, but I completed this smoothly without any of that. When choosing a lecture, I first look at the curriculum and compare the price and duration. Until now, there have been many lectures that were too superficial compared to the price, But I guarantee that if you take Hyunjin's kafka&spark lecture, you can produce sufficiently high-quality results in future projects as well! I learned a lot. Thank you! (When do you think Season 2 will be released..?)
Hello, Chan-young! Thank you for your touching review. As you know well after completing the course, I was quite concerned that it might not be easy to follow along, as the content includes a variety of topics from infrastructure setup and nginx configuration to docker setup and availability testing, rather than simply explaining functions. That's why I standardized as much as possible using ansible-playbook, and even after finishing the lecture recording, I followed the lecture myself to check if there were any parts that weren't working correctly. And in case someone had trouble, I even prepared a Discord room for smooth communication. In the end, it took quite a long time to release the lecture, but I tried my best to create a lecture with high completeness. Knowing that Chan-young recognized my efforts makes all the hard work feel like it's washed away ^-^ I am even more grateful.. Also, before starting Season 2, I'm preparing a lecture related to generative AI first, so it might be a bit later. Still, I'll do my best to prepare it!
Đánh giá 2
∙
Đánh giá trung bình 5.0
5
I haven't finished watching all the lectures yet, but just from the AWS environment configuration section, I can already guess the quality of the entire course.. Personally, even if you're not in the data field, this is a lecture that would be quite helpful for those working in architecture as well. I'll work hard to complete the entire course!!
Đánh giá 1
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Đánh giá trung bình 5.0
5
It was incredibly helpful, and I dare say it's a perfect lecture!! Even though I have experience building with Kafka and Spark, there were quite a few parts I didn't understand during the build. You scratched all the itchy parts, just like a public bath scrubber. Your pronunciation was excellent, and the explanations you gave, pinpointing only the key points, were very easy to understand. Unlike lectures that are only theory, you made it possible to follow along with the practical exercises, and you told us in advance about potential problem areas, so I was able to do the exercises very comfortably. It's incomparable to other lectures without practical exercises; I understood many more parts by doing it myself, and I gained confidence that I could do it too. The quality of the lecture was excellent, to the extent that it can be used immediately in actual projects👍 I hope a follow-up lecture comes out soon, and I also plan to listen to the Airflow lecture filmed by 현진님! Thank you for the good material. You worked hard.
Hello Hyun-jun! Thank you for the inspiring course review. I'm very gratified that I was able to help you so much, even though you already have experience with kafka & spark. There's a significant difference between experiencing Kafka and Spark on a single node versus in a cluster environment. Therefore, thinking that teaching on a single node would only scratch the surface, I boldly configured a cluster to ensure high availability for the practice environment. As a result, the configuration complexity increases a bit, but I put a lot of effort into ensuring that students could set up the same environment as seamlessly as possible using ansible. In particular, I included a lot of know-how for solving problems often encountered in actual projects, so I believe it was very helpful for you as well, Hyun-jun. Anyway, thank you for leaving such a great review :) 👍
Đánh giá 3
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Đánh giá trung bình 4.7
5
It's a perfect, excellent lecture. I'll also check Airflow when I have time! Also awaiting next lectures!
jongphago-nim! You finished 100%! Thank you for your kind course review :) I wonder if the questions you posted were well resolved. Anyway, I hope it was very helpful 👍
Đánh giá 10
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Đánh giá trung bình 4.9
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![[DevOneYoung] Apache Kafka for beginners강의 썸네일](https://cdn.inflearn.com/public/courses/326507/cover/aa474be0-c000-4b61-afbb-cb78ed0fb843?f=avif&w=420)