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.
| 基本信息 | |
| 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 |
- 视频: Course Introduction
- 视频: Who is a Data Engineer?
- 视频: Course Overview and Agenda
- 视频: Serverless Data Analysis with BigQuery Introduction
- 视频: What is BigQuery?
- 视频: Evaluating BigQuery
- 视频: Architecting a BigQuery Project
- 视频: Running a Query
- 视频: Complex Queries and Functions
- 视频: Lab - Serverless Data Analysis (Java/Python) : Part 1
- Reading: Codelab - Building a BigQuery Query
- 视频: Load and Export Data
- Reading: Codelab - Loading and Exporting Data
- 视频: Advanced Capabilities in BigQuery
- 视频: Processing BigQuery Data Types
- 视频: Standard SQL and Window Functions
- 视频: User-defined Functions
- 视频: Lab - Serverless Data Analysis (Java/Python) : Part 3
- Reading: Codelab - Advanced Queries
- 视频: Lab 1c Review
- 视频: Optimize for Performance and Pricing
- 视频: Tables and Partitioning for Performance
- 视频: BigQuery Plans and Categories
- 视频: Dataflow and Its Capabilities
- 视频: Write Data Pipelines in Java and Python
- 视频: Execute Data Pipelines in Java and Python
- 视频: Lab - Serverless Data Analysis
- Reading: Codelab - A Simple Dataflow Pipeline
- 视频: Lab 4 Review
- 视频: MapReduce and Parallel Processing
- 视频: Transforms in Cloud Dataflow
- 视频: GroupBy and Combine
- 视频: Lab - Serverless Data Analysis (Java/Python) : Part 5
- Reading: Codelab - MapReduce in Dataflow
- 视频: Lab 5 Review
- 视频: Side Inputs and In-memory Objects
- 视频: Lab - Serverless Data Analysis (Java/Python) : Part 6
- Reading: Codelab - Side inputs and BigQuery
- 视频: Lab 6 Review
- 视频: Lab 6 Review Part 2
- 视频: Streaming and Inputs
- 视频: Lab - Serverless Data Analysis (Java/Python) : Part 7
- Reading: Codelab - Streaming into BigQuery
- 视频: Lab 7 Review
- 视频: Google Cloud Reference Architecture
- 视频: Resources
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Very nicely explained and labs covered
It is very informative and easy to follow course. Very well designed and delivered. Thanks to course team.
Great tools, great instructor and great GCP products
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Nice tutorial for my upscale abilities