课程信息
133,162 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9 小时

建议:1 week of study, 5-7 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

Google Cloud DataprocApplication Programming Interfaces (API)Machine Learning

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9 小时

建议:1 week of study, 5-7 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 2 小时

Module 1: Introduction to Cloud Dataproc

...
16 个视频 (总计 52 分钟), 2 个测验
16 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 CLI40
Lab 1: Overview11
Lab 1: Demo and Review7分钟
Custom Machine Types3分钟
Preemptible VMs3分钟
Wrap up41
1 个练习
Module 1 Quiz4分钟
完成时间为 3 小时

Module 2: Running Dataproc jobs

...
13 个视频 (总计 51 分钟), 2 个阅读材料, 3 个测验
13 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 Overview45
Lab 3: Demo and Review8分钟
Module Wrap Up18
2 个阅读材料
Cloud Dataproc Storage Services10分钟
Cloud Dataproc Automation Features10分钟
1 个练习
Module 2 Quiz2分钟
完成时间为 3 小时

Module 3: Leveraging GCP

...
10 个视频 (总计 37 分钟), 3 个阅读材料, 3 个测验
10 个视频
BigQuery Support8分钟
Lab 4: Overview31
Lab 4: Demo and Review4分钟
Cluster customization4分钟
Installing software on a Dataproc7分钟
Lab 5: Overview17
Lab 5: Demo and Review8分钟
Wrap up58
Review19
3 个阅读材料
Using Cloud Functions for Data Processing10分钟
Cloud Dataproc to BigQuery Connectors10分钟
Cloud Dataproc Workflow Animation10分钟
1 个练习
Module 3 Quiz2分钟
完成时间为 1 小时

Module 4: Analyzing Unstructured Data

...
7 个视频 (总计 24 分钟), 2 个测验
7 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 up16
1 个练习
Module 4 Quiz2分钟
4.5
384 个审阅Chevron Right

40%

完成这些课程后已开始新的职业生涯

38%

通过此课程获得实实在在的工作福利

15%

加薪或升职

来自Leveraging Unstructured Data with Cloud Dataproc on Google Cloud Platform的热门评论

创建者 RWApr 23rd 2019

The course has introduced me to hadoop tools. I have learned how easy it is to setup a hadoop cluster using Dataproc. Will sure look for cases that have implemented hadoop and replicate on GCP.

创建者 LYMar 1st 2019

This is very handy course compared with other cloud platform where a customized environment was provided without concerning setup it on my own. This is very thoughtful and I'm very appreciated.

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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