课程信息
4.7
841 个评分
65 个审阅
专项课程
100% 在线

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

可灵活调整截止日期

根据您的日程表重置截止日期。
中级

中级

完成时间(小时)

完成时间大约为7 小时

建议:1 week of study, 6-8 hours/week...
可选语言

英语(English)

字幕:英语(English)

您将获得的技能

BigqueryBigtableDataflowPublish–Subscribe Pattern
专项课程
100% 在线

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

可灵活调整截止日期

根据您的日程表重置截止日期。
中级

中级

完成时间(小时)

完成时间大约为7 小时

建议:1 week of study, 6-8 hours/week...
可选语言

英语(English)

字幕:英语(English)

教学大纲 - 您将从这门课程中学到什么

1
完成时间(小时)
完成时间为 1 小时

Module 1: Architecture of Streaming Analytics Pipelines

...
Reading
5 个视频 (总计 39 分钟), 1 个阅读材料, 1 个测验
Video5 个视频
Challenge #1: Variable volumes require ability of ingest to scale and be fault-tolerant4分钟
Challenge #2 : Latency is to be expected5分钟
Challenge #3 : Need instant insights6分钟
Discuss some streaming scenarios8分钟
Reading1 个阅读材料
Lab Worksheet10分钟
Quiz1 个练习
Module 1 Quiz4分钟
完成时间(小时)
完成时间为 2 小时

Module 2: Ingesting Variable Volumes

...
Reading
4 个视频 (总计 34 分钟), 2 个测验
Video4 个视频
How it works: Topics and Subscriptions14分钟
Lab Overview34s
Lab demo and review8分钟
Quiz1 个练习
Module 2 Quiz8分钟
完成时间(小时)
完成时间为 2 小时

Module 3: Implementing Streaming Pipelines

...
Reading
6 个视频 (总计 70 分钟), 2 个测验
Video6 个视频
Challenges in stream processing14分钟
Build a stream processing pipeline for live traffic data11分钟
Handle late data: watermarks, triggers, accumulation14分钟
Lab overview35s
Lab demo and review15分钟
Quiz1 个练习
Module 3 Quiz2分钟
完成时间(小时)
完成时间为 1 小时

Module 4: Streaming analytics and dashboards

...
Reading
3 个视频 (总计 20 分钟), 2 个测验
Video3 个视频
Lab overview45s
Lab demo and review5分钟
Quiz1 个练习
Module 4 Quiz4分钟
完成时间(小时)
完成时间为 2 小时

Module 5: Handling Throughput and Latency Requirements

...
Reading
8 个视频 (总计 63 分钟), 2 个测验
Video8 个视频
Bigtable: big, fast, autoscaling NoSQL4分钟
Ingesting into Bigtable4分钟
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
Quiz1 个练习
Module 5 Quiz6分钟
4.7
65 个审阅Chevron Right
职业方向

67%

完成这些课程后已开始新的职业生涯
工作福利

56%

通过此课程获得实实在在的工作福利
职业晋升

17%

加薪或升职

热门审阅

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 Cloud

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 on Google Cloud Platform 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 on Google Cloud Platform

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