After doing these courses, I feel confident creating professional visualizations and dashboards
Shoebur RahmanProcurement Specialist, Giz Bangladesh
课程介绍
This course covers the foundations of serverless data processing with Apache Beam and Dataflow. Topics include Beam portability, Runner v2, container environments, cross-language transforms, Dataflow Shuffle and Streaming Engine, Flexible Resource Scheduling, IAM, quotas, networking, and security with CMEK.
先修要求
本课程无先修要求
课程大纲
课程大纲
1
Introduction
This module covers the course outline and does a quick refresh on the Apache Beam programming model and Google’s Dataflow managed service.
2
Beam Portability
In this module we are going to learn about four sections, Beam Portablity, Runner v2, Container Environments, and Cross-Language Transforms.
3
Separating Compute and Storage with Dataflow
In this module we discuss how to separate compute and storage with Dataflow. This module contains four sections Dataflow, Dataflow Shuffle Service, Dataflow Streaming Engine, Flexible Resource Scheduling.
4
IAM, Quotas, and Permissions
In this module, we talk about the different IAM roles, quotas, and permissions required to run Dataflow
5
Security
In this module, we will look at how to implement the right security model for your use case on Dataflow.
6
Summary
In this course, we started with the refresher of what Apache Beam is, and its relationship with Dataflow.
R
Serverless Data Processing with Dataflow: Foundations
课程完成
