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.
Informações sobre o curso
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Principais avaliações do SERVERLESS DATA PROCESSING WITH DATAFLOW: FOUNDATIONS
Lab is relatively scarce in relation to many concepts introduced in this course. More labs should be designed to help learners internalise the knowledge.
It would be better having detailed explanation of concepts for very beginners. This is a great course. Having detailed information will help learners learn quickly
Was mistaken about the objective of this course, its actually a very good basis, just would refine the qwiklabs challenges, its mostly an cook recipe
Sobre Programa de cursos integrados Serverless Data Processing with Dataflow
It is becoming harder and harder to maintain a technology stack that can keep up with the growing demands of a data-driven business. Every Big Data practitioner is familiar with the three V’s of Big Data: volume, velocity, and variety. What if there was a scale-proof technology that was designed to meet these demands?
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