The two key components of any data pipeline are data lakes and warehouses. This course highlights use-cases for each type of storage and dives into the available data lake and warehouse solutions on Google Cloud in technical detail. Also, this course describes the role of a data engineer, the benefits of a successful data pipeline to business operations, and examines why data engineering should be done in a cloud environment.
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Google 云端平台课程信息
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中级
完成时间大约为7 小时
英语（English）
字幕：英语（English）
您将学到的内容有
Understand the differences between data lakes and data warehouses, the two key components of any data pipeline.
Explore use-cases for each type of storage and dive into the available data lake and warehouse solutions on Google Cloud in technical detail.
Understand the role of a data engineer and the benefits of a successful data pipeline to business operations.
Examine why data engineering should be done in a cloud environment.
可灵活调整截止日期
根据您的日程表重置截止日期。
可分享的证书
完成后获得证书
100% 在线
立即开始，按照自己的计划学习。
中级
完成时间大约为7 小时
英语（English）
字幕：英语（English）
提供方
Google 云端平台
We help millions of organizations empower their employees, serve their customers, and build what’s next for their businesses with innovative technology created in—and for—the cloud. Our products are engineered for security, reliability, and scalability, running the full stack from infrastructure to applications to devices and hardware. Our teams are dedicated to helping customers apply our technologies to create success.
授课大纲 - 您将从这门课程中学到什么
完成时间为 4 分钟
Introduction
This module introduces the Data Engineering on Google Cloud source series and this Modernizing Data Lakes and Data Warehouses with Google Cloud course.
完成时间为 4 分钟
2 个视频 （总计 4 分钟）
完成时间为 2 小时
Introduction to Data Engineering
This module describes the role of a data engineer and motivates the claim why data engineering should be done in the Cloud
完成时间为 2 小时
14 个视频 （总计 41 分钟）
完成时间为 2 小时
Building a Data Lake
In this module, we describe what data lake is and how to use Cloud Storage as your data lake on Google Cloud.
完成时间为 2 小时
8 个视频 （总计 42 分钟）
完成时间为 4 小时
Building a data warehouse
In this module, we talk about BigQuery as a data warehousing option on Google Cloud
完成时间为 4 小时
16 个视频 （总计 91 分钟）
完成时间为 2 分钟
Summary
A summary of the key learning points
完成时间为 2 分钟
1 个视频 （总计 2 分钟）
审阅
- 5 stars72.64%
- 4 stars22.99%
- 3 stars3.30%
- 2 stars0.73%
- 1 star0.31%
来自MODERNIZING DATA LAKES AND DATA WAREHOUSES WITH GOOGLE CLOUD的热门评论
由 MP 提供May 17, 2020
Great course providing the fundamental concepts around Data Lakes, Data Warehouses, Schemas, ETL/ELT/EL, and specific Google GCP Technologies that help implement these concepts
由 ME 提供Aug 29, 2020
I really like how the Google courses do not overwhelm the learner with too much information. The information was presented well and the labs were very practical with clear instructions.
由 SB 提供Feb 15, 2020
Very valuable information about data lakes, data warehouses, using Arrays and Structs to store data in BigQuery. Loved the course.
由 WH 提供Jan 13, 2022
bit simple for experienced db users, but the 2nd week does a very useful deep dive into advanced GBQ features like how to properly handle nested fields.
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