课程信息
4.4
1,153 个评分
133 个审阅
This 1-week, accelerated on-demand course builds upon Google Cloud Platform Big Data and Machine Learning Fundamentals. Through a combination of instructor-led presentations, demonstrations, and hands-on labs, students learn how to carry out no-ops data warehousing, analysis and pipeline processing. Prerequisites: • Google Cloud Platform Big Data and Machine Learning Fundamentals • Experience using a SQL-like query language to analyze data • Knowledge of either Python or Java Google Account Notes: • Google services are currently unavailable in China....
Globe

100% 在线课程

立即开始,按照自己的计划学习。
Calendar

可灵活调整截止日期

根据您的日程表重置截止日期。
Intermediate Level

中级

Clock

建议:1 week of study, 6-8 hours/week

完成时间大约为6 小时
Comment Dots

English

字幕:English

您将获得的技能

BigqueryApache BeamDataflowPublish–Subscribe Pattern
Globe

100% 在线课程

立即开始,按照自己的计划学习。
Calendar

可灵活调整截止日期

根据您的日程表重置截止日期。
Intermediate Level

中级

Clock

建议:1 week of study, 6-8 hours/week

完成时间大约为6 小时
Comment Dots

English

字幕:English

教学大纲 - 您将从这门课程中学到什么

1

章节
Clock
完成时间为 7 分钟

Welcome to Serverless Data Analysis with Google BigQuery and Cloud Dataflow

...
Reading
1 个视频(共 7 分钟)
Video1 个视频
Clock
完成时间为 5 小时

Module 1: Serverless Data Analysis with BigQuery

...
Reading
19 个视频(共 123 分钟), 4 个测验
Video19 个视频
What is BigQuery?5分钟
BigQuery Demonstration3分钟
BigQuery Benefits7分钟
BigQuery in a Reference Architecture8分钟
Queries and Functions8分钟
Subqueries and Multiple Tables3分钟
Lab - Serverless Data Analysis (Java/Python) : Part 12分钟
Lab demo and review9分钟
Load and Export Data2分钟
Lab demo and review13分钟
Advanced Capabilities in BigQuery7分钟
Arrays and Structures6分钟
Join condition and Window Functions6分钟
User-defined Functions3分钟
Lab demo and review14分钟
Performance and Pricing7分钟
Wildcard Tables and Partitioning7分钟
BigQuery Plans and Categories4分钟
Quiz1 个练习
Module 1 Quiz4分钟
Clock
完成时间为 5 小时

Module 2: Autoscaling Data Processing Pipelines with Dataflow

...
Reading
12 个视频(共 97 分钟), 4 个测验
Video12 个视频
Write Data Pipelines in Java and Python9分钟
Input Output and Run6分钟
Lab demo and review18分钟
MapReduce and Parallel Processing11分钟
GroupBy and Combine7分钟
Combine vs GroupBy7分钟
Lab demo and review6分钟
Side Inputs7分钟
Lab demo and review10分钟
Dataflow Templates and Dataprep4分钟
Resources分钟
Quiz1 个练习
Module 2 Quiz4分钟
4.4
Direction Signs

25%

完成这些课程后已开始新的职业生涯
Briefcase

83%

通过此课程获得实实在在的工作福利
Money

12%

加薪或升职

热门审阅

创建者 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.

创建者 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.

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

>>> 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 <<< 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...
Data Engineering on Google Cloud Platform

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