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Serverless Data Processing with Dataflow: Foundations(으)로 돌아가기

Google 클라우드의 Serverless Data Processing with Dataflow: Foundations 학습자 리뷰 및 피드백

4.2
별점
65개의 평가

강좌 소개

This course is part 1 of a 3-course series on Serverless Data Processing with Dataflow. In this first course, we start with a refresher of what Apache Beam is and its relationship with Dataflow. Next, we talk about the Apache Beam vision and the benefits of the Beam Portability framework. The Beam Portability framework achieves the vision that a developer can use their favorite programming language with their preferred execution backend. We then show you how Dataflow allows you to separate compute and storage while saving money, and how identity, access, and management tools interact with your Dataflow pipelines. Lastly, we look at how to implement the right security model for your use case on Dataflow. Prerequisites: The Serverless Data Processing with Dataflow course series builds on the concepts covered in the Data Engineering specialization. We recommend the following prerequisite courses: (i)Building batch data pipelines on Google Cloud : covers core Dataflow principles (ii)Building Resilient Streaming Analytics Systems on Google Cloud : covers streaming basics concepts like windowing, triggers, and watermarks >>> By enrolling in this course you agree to the Qwiklabs Terms of Service as set out in the FAQ and located at: https://qwiklabs.com/terms_of_service <<<...

최상위 리뷰

필터링 기준:

Serverless Data Processing with Dataflow: Foundations의 8개 리뷰 중 1~8

교육 기관: Sumit K S

2022년 8월 2일

교육 기관: Saket K

2021년 5월 6일

교육 기관: RLee

2022년 6월 13일

교육 기관: Ali M

2022년 10월 15일

교육 기관: Sukanya R

2021년 4월 13일

교육 기관: Gabriel B

2022년 3월 14일

교육 기관: Philipp T

2022년 7월 24일

교육 기관: Sergey B

2022년 7월 14일