课程信息
52,289 次近期查看

100% 在线

立即开始,按照自己的计划学习。

可灵活调整截止日期

根据您的日程表重置截止日期。

中级

完成时间大约为8 小时

建议:1 week of study, 6-8 hours/week...

英语(English)

字幕:法语(French), 巴西葡萄牙语, 德语(German), 英语(English), 西班牙语(Spanish), 日语...

您将获得的技能

BigqueryBigtableDataflowPublish–Subscribe Pattern

100% 在线

立即开始,按照自己的计划学习。

可灵活调整截止日期

根据您的日程表重置截止日期。

中级

完成时间大约为8 小时

建议:1 week of study, 6-8 hours/week...

英语(English)

字幕:法语(French), 巴西葡萄牙语, 德语(German), 英语(English), 西班牙语(Spanish), 日语...

教学大纲 - 您将从这门课程中学到什么

1
完成时间为 1 小时

Module 1: Architecture of Streaming Analytics Pipelines

5 个视频 (总计 39 分钟), 1 个阅读材料, 1 个测验
5 个视频
Challenge #3 : Need instant insights6分钟
Discuss some streaming scenarios8分钟
1 个阅读材料
Lab Worksheet10分钟
1 个练习
Module 1 Quiz4分钟
完成时间为 2 小时

Module 2: Ingesting Variable Volumes

4 个视频 (总计 34 分钟), 2 个测验
4 个视频
Lab demo and review8分钟
1 个练习
Module 2 Quiz8分钟
完成时间为 2 小时

Module 3: Implementing Streaming Pipelines

6 个视频 (总计 70 分钟), 2 个测验
6 个视频
Handle late data: watermarks, triggers, accumulation14分钟
Lab overview35
Lab demo and review15分钟
1 个练习
Module 3 Quiz2分钟
完成时间为 1 小时

Module 4: Streaming analytics and dashboards

3 个视频 (总计 20 分钟), 2 个测验
1 个练习
Module 4 Quiz4分钟
完成时间为 2 小时

Module 5: Handling Throughput and Latency Requirements

8 个视频 (总计 63 分钟), 1 个阅读材料, 2 个测验
8 个视频
Designing for Bigtable23分钟
Streaming into Bigtable1分钟
Lab demo and review4分钟
Performance considerations6分钟
Summary of Data Engineering on GCP Specialization8分钟
1 个阅读材料
Cloud Bigtable Streaming10分钟
1 个练习
Module 5 Quiz6分钟
4.7
122 个审阅Chevron Right

31%

完成这些课程后已开始新的职业生涯

30%

通过此课程获得实实在在的工作福利

13%

加薪或升职

来自Building Resilient Streaming Systems on Google Cloud Platform的热门评论

创建者 PGAug 25th 2018

This course was very helpful to understand how to built high throughput streaming work flows on google cloud. It described in detail how to model big table for efficient application.

创建者 CCAug 19th 2017

Course gives nice overview of Bigtable, when to use it compared to bigquery. flowchart describing the when to use which product is really helpful. Thanks Lak for the course.

关于 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....

关于 Data Engineering, Big Data, and Machine Learning on GCP 专项课程

This five-week, accelerated online specialization provides participants a hands-on introduction to designing and building data processing systems on Google Cloud Platform. Through a combination of presentations, demos, and hand-on labs, participants will learn how to design data processing systems, build end-to-end data pipelines, analyze data and carry out machine learning. The course covers structured, unstructured, and streaming data. This course teaches the following skills: • Design and build data processing systems on Google Cloud Platform • Leverage unstructured data using Spark and ML APIs on Cloud Dataproc • Process batch and streaming data by implementing autoscaling data pipelines on Cloud Dataflow • Derive business insights from extremely large datasets using Google BigQuery • Train, evaluate and predict using machine learning models using Tensorflow and Cloud ML • Enable instant insights from streaming data This class is intended for developers who are responsible for: • Extracting, Loading, Transforming, cleaning, and validating data • Designing pipelines and architectures for data processing • Creating and maintaining machine learning and statistical models • Querying datasets, visualizing query results and creating reports >>> By enrolling in this specialization you agree to the Qwiklabs Terms of Service as set out in the FAQ and located at: https://qwiklabs.com/terms_of_service <<<...
Data Engineering, Big Data, and Machine Learning on GCP

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