課程信息
4.5
2,109 個評分
268 個審閱
專項課程
100% 在線

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

可靈活調整截止日期

根據您的日程表重置截止日期。
中級

中級

完成時間(小時)

完成時間大約為8 小時

建議:1 week of study, 5-7 hours/week...
可選語言

英語(English)

字幕:英語(English)

您將獲得的技能

Google Cloud DataprocApplication Programming Interfaces (API)Machine Learning
專項課程
100% 在線

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

可靈活調整截止日期

根據您的日程表重置截止日期。
中級

中級

完成時間(小時)

完成時間大約為8 小時

建議:1 week of study, 5-7 hours/week...
可選語言

英語(English)

字幕:英語(English)

教學大綱 - 您將從這門課程中學到什麼

1
完成時間(小時)
完成時間為 2 小時

Module 1: Introduction to Cloud Dataproc

...
Reading
16 個視頻 (總計 52 分鐘), 2 個測驗
Video16 個視頻
Introducing Cloud Dataproc1分鐘
Defining unstructured data?4分鐘
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
Quiz1 個練習
Module 1 Quiz4分鐘
完成時間(小時)
完成時間為 3 小時

Module 2: Running Dataproc jobs

...
Reading
13 個視頻 (總計 51 分鐘), 3 個測驗
Video13 個視頻
Methods for submitting jobs1分鐘
Lab 2 Overview1分鐘
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
Quiz1 個練習
Module 2 Quiz2分鐘
完成時間(小時)
完成時間為 3 小時

Module 3: Leveraging GCP

...
Reading
10 個視頻 (總計 37 分鐘), 3 個測驗
Video10 個視頻
BigQuery Support8分鐘
Lab 4: Overview31
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
Quiz1 個練習
Module 3 Quiz2分鐘
完成時間(小時)
完成時間為 1 小時

Module 4: Analyzing Unstructured Data

...
Reading
7 個視頻 (總計 24 分鐘), 2 個測驗
Video7 個視頻
A closer look at Machine Learning3分鐘
Examples of applied ML3分鐘
Natural Language Processing close-up2分鐘
Lab 6: Overview1分鐘
Lab 6: Demo and Review10分鐘
Wrap up16
Quiz1 個練習
Module 4 Quiz2分鐘
4.5
268 個審閱Chevron Right
職業方向

41%

完成這些課程後已開始新的職業生涯
工作福利

36%

通過此課程獲得實實在在的工作福利
職業晉升

18%

加薪或升職

熱門審閱

創建者 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.

創建者 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.

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....

關於 Data Engineering on Google Cloud Platform 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 on Google Cloud Platform

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