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Serverless Data Analysis with Google BigQuery and Cloud Dataflow

总览预览常见问题解答制作方价格评分和审阅

主页计算机科学软件开发

Serverless Data Analysis with Google BigQuery and Cloud Dataflow

Google 云端平台

关于此课程: 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: • You'll need a Google/Gmail account and a credit card or bank account to sign up for the Google Cloud Platform free trial (Google services are currently unavailable in China). • If you are a Google Cloud Platform customer with European Union (EU) and Russian billing addresses, read the VAT Overview documentation at: https://cloud.google.com/billing/docs/resources/vat-overview • More Google Cloud Platform free trial FAQs are available at: https://cloud.google.com/free-trial/

此课程适用人群: This class is intended for data analysts and data scientists responsible for: analyzing and visualizing big data, implementing cloud-based big data solutions, deploying or migrating big data applications to the public cloud, implementing and maintaining large-scale data storage environments, and transforming/processing big data.


制作方:  Google 云端平台
Google 云端平台
基本信息
课程 3(共 5 门,Data Engineering on Google Cloud Platform Specialization )
级别Intermediate
承诺学习时间1 week of study, 6-8 hours/week
语言
English
硬件要求You'll need a Google Cloud Platform Free Trial account. Sign up at: https://cloud.google.com/free/
如何通过通过所有计分作业以完成课程。
用户评分
4.5 星
平均用户评分 4.5查看学生的留言
预览
授课大纲
第 1 周
Welcome to Serverless Data Analysis with Google BigQuery and Cloud Dataflow
3 视频
  1. 视频: Course Introduction
  2. 视频: Who is a Data Engineer?
  3. 视频: Course Overview and Agenda
Module 1: Serverless Data Analysis with BigQuery
17 视频, 3 阅读材料
  1. 视频: Serverless Data Analysis with BigQuery Introduction
  2. 视频: What is BigQuery?
  3. 视频: Evaluating BigQuery
  4. 视频: Architecting a BigQuery Project
  5. 视频: Running a Query
  6. 视频: Complex Queries and Functions
  7. 视频: Lab - Serverless Data Analysis (Java/Python) : Part 1
  8. Reading: Codelab - Building a BigQuery Query
  9. 视频: Load and Export Data
  10. Reading: Codelab - Loading and Exporting Data
  11. 视频: Advanced Capabilities in BigQuery
  12. 视频: Processing BigQuery Data Types
  13. 视频: Standard SQL and Window Functions
  14. 视频: User-defined Functions
  15. 视频: Lab - Serverless Data Analysis (Java/Python) : Part 3
  16. Reading: Codelab - Advanced Queries
  17. 视频: Lab 1c Review
  18. 视频: Optimize for Performance and Pricing
  19. 视频: Tables and Partitioning for Performance
  20. 视频: BigQuery Plans and Categories
已评分: Module 1 Quiz
Module 2: Autoscaling Data Processing Pipelines with Dataflow
19 视频, 4 阅读材料
  1. 视频: Dataflow and Its Capabilities
  2. 视频: Write Data Pipelines in Java and Python
  3. 视频: Execute Data Pipelines in Java and Python
  4. 视频: Lab - Serverless Data Analysis
  5. Reading: Codelab - A Simple Dataflow Pipeline
  6. 视频: Lab 4 Review
  7. 视频: MapReduce and Parallel Processing
  8. 视频: Transforms in Cloud Dataflow
  9. 视频: GroupBy and Combine
  10. 视频: Lab - Serverless Data Analysis (Java/Python) : Part 5
  11. Reading: Codelab - MapReduce in Dataflow
  12. 视频: Lab 5 Review
  13. 视频: Side Inputs and In-memory Objects
  14. 视频: Lab - Serverless Data Analysis (Java/Python) : Part 6
  15. Reading: Codelab - Side inputs and BigQuery
  16. 视频: Lab 6 Review
  17. 视频: Lab 6 Review Part 2
  18. 视频: Streaming and Inputs
  19. 视频: Lab - Serverless Data Analysis (Java/Python) : Part 7
  20. Reading: Codelab - Streaming into BigQuery
  21. 视频: Lab 7 Review
  22. 视频: Google Cloud Reference Architecture
  23. 视频: Resources
已评分: Module 2 Quiz

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制作方
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.
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评分和审阅
已评分 4.5,总共 5 个 517 评分

br

Nice tutorial for my upscale abilities

RAJESH SUGURU

Very nicely explained and labs covered

Mohit Gupta

It is very informative and easy to follow course. Very well designed and delivered. Thanks to course team.

Y

Great tools, great instructor and great GCP products



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