강좌 소개
Welcome to the third course in the Building Cloud Computing Solutions at Scale Specialization! In this course, you will learn how to apply Data Engineering to real-world projects using the Cloud computing concepts introduced in the first two courses of this series. By the end of this course, you will be able to develop Data Engineering applications and use software development best practices to create data engineering applications. These will include continuous deployment, code quality tools, logging, instrumentation and monitoring. Finally, you will use Cloud-native technologies to tackle complex data engineering solutions.
This course is ideal for beginners as well as intermediate students interested in applying Cloud computing to data science, machine learning and data engineering. Students should have beginner level Linux and intermediate level Python skills. For your project in this course, you will build a serverless data engineering pipeline in a Cloud platform: Amazon Web Services (AWS), Azure or Google Cloud Platform (GCP).
필터링 기준:
Cloud Data Engineering의 5개 리뷰 중 1~5
교육 기관: Taozheng Z
•2021년 7월 2일
Need to be revised
교육 기관: Joshua S
•2021년 11월 5일
They should add more examples using the tools and services, however Iearned a lot of thing related to data engineering an the aws cloud, I think this knowledge is going to be very useful in my professional dimesion
교육 기관: ENUONYE D J
•2021년 11월 16일
good
교육 기관: Andrés C
•2021년 11월 13일
A lot of reused material, a lot of random stuff and just jumping to examples without actually giving context.
교육 기관: Pineapple P
•2021년 7월 24일
Material covered mostly on the surface level.
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