课程信息
4.5
1,913 个评分
237 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, 5-7 hours/week...
可选语言

英语(English)

字幕:英语(English)

您将获得的技能

Google Cloud DataprocApplication Programming Interfaces (API)Machine Learning
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, 5-7 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 2 小时

Module 1: Introduction to Cloud Dataproc

...
Reading
16 个视频 (总计 52 分钟), 2 个测验
Video16 个视频
Introducing Cloud Dataproc1分钟
Defining unstructured data?4分钟
Deriving value from unstructured data7分钟
Approaches to working with Big Data4分钟
MapReduce and Hadoop origins5分钟
On prem Hadoop has a lot of overhead1分钟
Cloud Dataproc versus Hadoop alternatives2分钟
Creating a Dataproc cluster4分钟
Dataproc customization3分钟
Dataproc and the CLI40s
Lab 1: Overview11s
Lab 1: Demo and Review7分钟
Custom Machine Types3分钟
Preemptible VMs3分钟
Wrap up41s
Quiz1 个练习
Module 1 Quiz4分钟
完成时间(小时)
完成时间为 3 小时

Module 2: Running Dataproc jobs

...
Reading
13 个视频 (总计 51 分钟), 3 个测验
Video13 个视频
Methods for submitting jobs1分钟
Lab 2 Overview1分钟
Lab 2: Demo and Review11分钟
Separation of Storage and Compute6分钟
Evolution of data processing5分钟
The importance of networking in data processing3分钟
Separating storage and compute with Spark1分钟
Submitting Spark jobs3分钟
Overview of Spark concepts2分钟
Lab Overview45s
Lab 3: Demo and Review8分钟
Module Wrap Up18s
Quiz1 个练习
Module 2 Quiz2分钟
完成时间(小时)
完成时间为 3 小时

Module 3: Leveraging GCP

...
Reading
10 个视频 (总计 37 分钟), 3 个测验
Video10 个视频
BigQuery Support8分钟
Lab 4: Overview31s
Lab 4: Demo and Review4分钟
Cluster customization4分钟
Installing software on a Dataproc7分钟
Lab 5: Overview17s
Lab 5: Demo and Review8分钟
Wrap up58s
Review19s
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: Analyzing Unstructured Data

...
Reading
7 个视频 (总计 24 分钟), 2 个测验
Video7 个视频
A closer look at Machine Learning3分钟
Examples of applied ML3分钟
Natural Language Processing close-up2分钟
Lab 6: Overview1分钟
Lab 6: Demo and Review10分钟
Wrap up16s
Quiz1 个练习
Module 4 Quiz2分钟
4.5
237 个审阅Chevron Right
职业方向

60%

完成这些课程后已开始新的职业生涯
工作福利

67%

通过此课程获得实实在在的工作福利
职业晋升

25%

加薪或升职

热门审阅

创建者 CPDec 29th 2017

Really enjoyed it, woudl have liked to spend more time with the APIs and integrate with real time web downloads. There are a few bugs and misprints, but wasn't too hard to find them.

创建者 PGAug 8th 2018

The course was really helpful to understand how to use google bigdata offering - dataproc for creating and managing Hadoop/hive/spark/pig and many more opensource bigdata products.

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

常见问题

  • 是的,您可以在注册之前预览第一个视频和查看授课大纲。您必须购买课程,才能访问预览不包括的内容。

  • 如果您决定在班次开始日期之前注册课程,那么您将可以访问课程的所有课程视频和阅读材料。班次开始之后,您便可以提交作业。

  • 在您注册且班次开课之后,您将可以访问所有视频和其他资源,包括阅读材料内容和课程论坛。您将能够查看和提交练习作业,并完成所需的评分作业以获得成绩和课程证书。

  • 如果您成功完成课程,您的电子课程证书将添加到您的成就页中,您可以通过该页打印您的课程证书或将其添加到您的领英档案中。

  • 此课程是 Coursera 上提供的众多课程之一,当前只对已购买课程或已获得助学金的学生开放。如果您要学习此课程,但却承担不起课程费用,我们建议您提交助学金申请。

还有其他问题吗?请访问 学生帮助中心