課程信息
4.4
1,299 個評分
147 個審閱
專項課程

第 3 門課程(共 5 門),位於

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7 小時

建議:1 week of study, 6-8 hours/week...
可選語言

英語(English)

字幕:英語(English)...

您將獲得的技能

BigqueryApache BeamDataflowPublish–Subscribe Pattern
專項課程

第 3 門課程(共 5 門),位於

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7 小時

建議:1 week of study, 6-8 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 7 分鐘

Welcome to Serverless Data Analysis with Google BigQuery and Cloud Dataflow

...
Reading
1 個視頻(共 7 分鐘)
Video1 個視頻
完成時間(小時)
完成時間為 5 小時

Module 1: Serverless Data Analysis with BigQuery

...
Reading
19 個視頻(共 123 分鐘), 4 個測驗
Video19 個視頻
What is BigQuery?5分鐘
BigQuery Demonstration3分鐘
BigQuery Benefits7分鐘
BigQuery in a Reference Architecture8分鐘
Queries and Functions8分鐘
Subqueries and Multiple Tables3分鐘
Lab - Serverless Data Analysis (Java/Python) : Part 12分鐘
Lab demo and review9分鐘
Load and Export Data2分鐘
Lab demo and review13分鐘
Advanced Capabilities in BigQuery7分鐘
Arrays and Structures6分鐘
Join condition and Window Functions6分鐘
User-defined Functions3分鐘
Lab demo and review14分鐘
Performance and Pricing7分鐘
Wildcard Tables and Partitioning7分鐘
BigQuery Plans and Categories4分鐘
Quiz1 個練習
Module 1 Quiz4分鐘
完成時間(小時)
完成時間為 8 小時

Module 2: Autoscaling Data Processing Pipelines with Dataflow

...
Reading
12 個視頻(共 97 分鐘), 7 個測驗
Video12 個視頻
Write Data Pipelines in Java and Python9分鐘
Input Output and Run6分鐘
Lab demo and review18分鐘
MapReduce and Parallel Processing11分鐘
GroupBy and Combine7分鐘
Combine vs GroupBy7分鐘
Lab demo and review6分鐘
Side Inputs7分鐘
Lab demo and review10分鐘
Dataflow Templates and Dataprep4分鐘
Resources分鐘
Quiz1 個練習
Module 2 Quiz4分鐘
4.4
職業方向

25%

完成這些課程後已開始新的職業生涯
工作福利

83%

通過此課程獲得實實在在的工作福利
職業晉升

12%

加薪或升職

熱門審閱

創建者 MHJun 4th 2018

Nice course. Needed options for python codes in the end of the course. In the beginning you had options to look at both python and java, but this were not the case in the later stages.

創建者 JCOct 31st 2017

Great content, but I really prefer the videos with Lak. He's easier to follow, and more enthusiastic. Also, the video structure here just seems more chaotic than the first course.

關於 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....

關於 Data Engineering on Google Cloud Platform 專項課程

>>> 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 <<< ***COMPLETION CHALLENGE; receive a GCP t-shirt, see more below.*** This five-week specialization provides participants a hands-on introduction to designing and building data processing systems on Google Cloud Platform. Participants will learn how to design data processing systems, build end-to-end data pipelines, analyze data and carry out machine learning. 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 COMPLETION CHALLENGE-Complete any GCP specialization from Oct 23 - Nov 30, 2018 to participate. Check Discussion Forums for full details....
Data Engineering on Google Cloud Platform

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