課程信息
89,964 次近期查看

100% 在線

立即開始,按照自己的計劃學習。

可靈活調整截止日期

根據您的日程表重置截止日期。

中級

完成時間大約為9 小時

建議:1 week of study, 5-7 hours/week...

英語(English)

字幕:法語(French), 巴西葡萄牙語, 德語(German), 英語(English), 西班牙語(Spanish), 日語...

您將獲得的技能

Google Cloud DataprocApplication Programming Interfaces (API)Machine Learning

100% 在線

立即開始,按照自己的計劃學習。

可靈活調整截止日期

根據您的日程表重置截止日期。

中級

完成時間大約為9 小時

建議:1 week of study, 5-7 hours/week...

英語(English)

字幕:法語(French), 巴西葡萄牙語, 德語(German), 英語(English), 西班牙語(Spanish), 日語...

教學大綱 - 您將從這門課程中學到什麼

1
完成時間為 2 小時

Module 1: Introduction to Cloud Dataproc

16 個視頻 (總計 52 分鐘), 2 個測驗
16 個視頻
Deriving value from unstructured data7分鐘
Approaches to working with Big Data4分鐘
MapReduce and Hadoop origins5分鐘
On prem Hadoop has a lot of overhead1分鐘
Cloud Dataproc versus Hadoop alternatives2分鐘
Creating a Dataproc cluster4分鐘
Dataproc customization3分鐘
Dataproc and the CLI40
Lab 1: Overview11
Lab 1: Demo and Review7分鐘
Custom Machine Types3分鐘
Preemptible VMs3分鐘
Wrap up41
1 個練習
Module 1 Quiz4分鐘
完成時間為 3 小時

Module 2: Running Dataproc jobs

13 個視頻 (總計 51 分鐘), 2 個閱讀材料, 3 個測驗
13 個視頻
Lab 2: Demo and Review11分鐘
Separation of Storage and Compute6分鐘
Evolution of data processing5分鐘
The importance of networking in data processing3分鐘
Separating storage and compute with Spark1分鐘
Submitting Spark jobs3分鐘
Overview of Spark concepts2分鐘
Lab Overview45
Lab 3: Demo and Review8分鐘
Module Wrap Up18
2 個閱讀材料
Cloud Dataproc Storage Services10分鐘
Cloud Dataproc Automation Features10分鐘
1 個練習
Module 2 Quiz2分鐘
完成時間為 3 小時

Module 3: Leveraging GCP

10 個視頻 (總計 37 分鐘), 3 個閱讀材料, 3 個測驗
10 個視頻
Lab 4: Demo and Review4分鐘
Cluster customization4分鐘
Installing software on a Dataproc7分鐘
Lab 5: Overview17
Lab 5: Demo and Review8分鐘
Wrap up58
Review19
3 個閱讀材料
Using Cloud Functions for Data Processing10分鐘
Cloud Dataproc to BigQuery Connectors10分鐘
Cloud Dataproc Workflow Animation10分鐘
1 個練習
Module 3 Quiz2分鐘
完成時間為 1 小時

Module 4: Analyzing Unstructured Data

7 個視頻 (總計 24 分鐘), 2 個測驗
7 個視頻
Natural Language Processing close-up2分鐘
Lab 6: Overview1分鐘
Lab 6: Demo and Review10分鐘
Wrap up16
1 個練習
Module 4 Quiz2分鐘
4.5
413 個審閱Chevron Right

42%

完成這些課程後已開始新的職業生涯

38%

通過此課程獲得實實在在的工作福利

14%

加薪或升職

來自Leveraging Unstructured Data with Cloud Dataproc on Google Cloud Platform的熱門評論

創建者 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.

創建者 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.

關於 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....

About the Data Engineering, Big Data, and Machine Learning on GCP 專項課程

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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  • 该课程是 Coursera 上提供的为数不多的课程之一,目前只对已购买课程或已获得助学金的学生开放。

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