In this course, you learn about data engineering on Google Cloud, the roles and responsibilities of data engineers, and how those map to offerings provided by Google Cloud. You also learn about ways to address data engineering challenges.
Introduction to Data Engineering on Google Cloud
您将学到什么
Understand the role of a data engineer.
Identify data engineering tasks and core components used on Google Cloud.
Understand how to create and deploy data pipelines of varying patterns on Google Cloud.
Identify and utilize various automation techniques on Google Cloud.
您将获得的技能
要了解的详细信息
可分享的证书
添加到您的领英档案
作业
6 项作业
授课语言：英语（English）
了解顶级公司的员工如何掌握热门技能
该课程共有8个模块
This section welcomes you to the Introduction to Data Engineering on Google Cloud course, and provides an overview of the course structure and goals.
涵盖的内容
1个视频
This module provides an introduction to the role of a data engineer. It covers key concepts such as data sources and sinks, data formats, storage options on Google Cloud, metadata management, and the use of Analytics Hub for data sharing within and outside an organization.
涵盖的内容
8个视频1个作业1个应用程序项目1个插件
This module provides an overview of data replication and migration on Google Cloud. It covers the basic architecture, the 'gcloud' command-line tool, Storage Transfer Service, Transfer Appliance, and Datastream, along with their functionalities and use cases.
涵盖的内容
6个视频1个作业1个应用程序项目
This module focuses on data extraction and loading processes on Google Cloud, particularly with BigQuery. It covers the basic extraction and loading architecture, the bq command-line tool, BigQuery Data Transfer Service, and BigLake as an alternative to traditional extract-load patterns.
涵盖的内容
6个视频1个作业1个应用程序项目
This module provides an overview of ELT (extract, load, transform) processes on Google Cloud. It covers the basic ELT architecture, a common ELT pipeline example, BigQuery's capabilities for scripting and scheduling SQL, and the functionality and use cases of Dataform.
涵盖的内容
5个视频1个作业1个应用程序项目
This module provides an overview of ETL (extract, transform, load) processes on Google Cloud. It covers the basic ETL architecture, GUI tools, batch and streaming data processing options (Dataproc, Dataproc Serverless), and the role of Bigtable in data pipelines.
涵盖的内容
8个视频1个作业2个应用程序项目
This module focuses on automation patterns and options for pipelines on Google Cloud. It covers various tools and services like Cloud Scheduler, Workflows, Cloud Composer, Cloud Run functions, and Eventarc, along with their functionalities and use cases for automation.
涵盖的内容
7个视频1个作业1个应用程序项目
In this final section, we review what was presented in this course and discuss the next steps to continue your cloud learning journey.
涵盖的内容
1个视频1篇阅读材料
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常见问题
Yes, you can preview the first video and view the syllabus before you enroll. You must purchase the course to access content not included in the preview.
If you decide to enroll in the course before the session start date, you will have access to all of the lecture videos and readings for the course. You’ll be able to submit assignments once the session starts.
Once you enroll and your session begins, you will have access to all videos and other resources, including reading items and the course discussion forum. You’ll be able to view and submit practice assessments, and complete required graded assignments to earn a grade and a Course Certificate.
更多问题
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