Is this course really 100% online? Do I need to attend any classes in person?

This course is completely online, so there’s no need to show up to a classroom in person. You can access your lectures, readings and assignments anytime and anywhere via the web or your mobile device.

Can I just enroll in a single course?

Yes! To get started, click the course card that interests you and enroll. You can enroll and complete the course to earn a shareable certificate. When you subscribe to a course that is part of a Certificate, you’re automatically subscribed to the full Certificate. Visit your learner dashboard to track your progress.

Preparing for Google Cloud Certification: Cloud Data Engr 专业证书

即将结束： 只需 199 美元（原价 399 美元）即可通过 Coursera Plus 学习新技能。立即节省

Preparing for Google Cloud Certification: Cloud Data Engr 专业证书

Advance your career in data engineering

位教师：Google Cloud Training

105,536 人已注册

包含在中

了解更多

5 门课程系列

获得职业证书，展示您的专业知识

4.6

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中级等级

推荐体验

4 周完成

在 10 小时一周

灵活的计划

自行安排学习进度

5 门课程系列

获得职业证书，展示您的专业知识

4.6

（7,140 条评论）

中级等级

推荐体验

4 周完成

在 10 小时一周

灵活的计划

自行安排学习进度

您将学到什么

Identify the purpose and value of the key Big Data and Machine Learning products in Google Cloud.
Employ BigQuery to carry out interactive data analysis.
Use Cloud SQL and Dataproc to migrate existing MySQL and Hadoop/Pig/Spark/Hive workloads to Google Cloud.
Choose between different data processing products on Google Cloud.

您将获得的技能

您将学习的工具

要了解的详细信息

可分享的证书

添加到您的领英档案

授课语言：英语（English）

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了解关于 Coursera for Business 的更多信息

Petrobras, TATA, Danone, Capgemini, P&G 和 L'Oreal 的徽标

专业认证 - 5门课程系列

Google Cloud Professional Data Engineer certification was ranked #1 on Global Knowledge's list of 15 top-paying certifications in 2021! Enroll now to prepare!

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87% of Google Cloud certified users feel more confident in their cloud skills. This program provides the skills you need to advance your career and provides training to support your preparation for the industry-recognized Google Cloud Professional Data Engineer certification.

Here's what you have to do

1) Complete the Coursera Data Engineering Professional Certificate

2) Review other recommended resources for the Google Cloud Professional Data Engineer certification exam

3) Review the Professional Data Engineer exam guide

4) Complete Professional Data Engineer sample questions

5) Register for the Google Cloud certification exam (remotely or at a test center)

Applied Learning Project

This professional certificate incorporates hands-on labs using Qwiklabs platform.These hands on components will let you apply the skills you learn. Projects incorporate Google Cloud Platform products used within Qwiklabs. You will gain practical hands-on experience with the concepts explained throughout the modules.

应用的学习项目

This Professional Certificate incorporates hands-on labs using our Qwiklabs platform.

These hands on components will let you apply the skills you learn in the video lectures. Projects will incorporate topics such as Google BigQuery, which are used and configured within Qwiklabs. You can expect to gain practical hands-on experience with the concepts explained throughout the modules.

Build Data Lakes and Data Warehouses on Google Cloud

第 1 门课程 10小时

您将学到什么

Differentiate between data lakes and data warehouses.
Explore use-cases for each type of storage and the available data lake and warehouse solutions on Google Cloud.
Discuss the role of a data engineer and the benefits of a successful data pipeline to business operations.
Examine why data engineering should be done in a cloud environment.

您将获得的技能

类别：Google Cloud Platform

类别：Data Lakes

类别：Data Warehousing

类别：Data Architecture

类别：Data Governance

类别：Cloud Storage

类别：Data Security

类别：Data Management

类别：Metadata Management

类别：Data Storage

类别：Advanced Analytics

类别：Data Integration

类别：Data Storage Technologies

类别：Data Infrastructure

类别：Operational Databases

类别：Big Data

Build Batch Data Pipelines on Google Cloud

第 2 门课程 10小时

您将学到什么

Determine whether batch data pipelines are the correct choice for your business use case.
Design and build scalable batch data pipelines for high-volume ingestion and transformation.
Implement data quality controls within batch pipelines to ensure data integrity.
Orchestrate, manage, and monitor batch data pipeline workflows, implementing error handling and observability using logging and monitoring tools.

您将获得的技能

类别：Data Validation

类别：Serverless Computing

类别：Data Quality

类别：Scalability

类别：Data Cleansing

类别：Database Management

类别：Data Warehousing

类别：System Monitoring

类别：Performance Tuning

Build Streaming Data Pipelines on Google Cloud

第 3 门课程 8小时

您将学到什么

Ingest and manage streaming data using Pub/Sub and Managed Service for Apache Kafka
Build and deploy streaming data pipelines with Dataflow
Implement streaming data solutions for real-time analytics and application serving with BigQuery and Bigtable

您将获得的技能

类别：Data Pipelines

类别：Real Time Data

类别：Google Cloud Platform

类别：Data Processing

类别：Apache Kafka

类别：Data Transformation

类别：Data Integration

类别：Data Storage

类别：Extract, Transform, Load

类别：Cloud Services

类别：Statistical Analysis

Smart Analytics, Machine Learning, and AI on Google Cloud

第 4 门课程 6小时

您将学到什么

Differentiate between ML, AI and deep learning.
Discuss the use of ML API’s on unstructured data.
Execute BigQuery commands from notebooks.
Create ML models by using SQL syntax in BigQuery and without coding using Vertex AI AutoML.

您将获得的技能

类别：Google Cloud Platform

类别：Machine Learning

类别：Jupyter

类别：Applied Machine Learning

类别：Unstructured Data

类别：Artificial Intelligence

类别：Natural Language Processing

类别：Tensorflow

类别：Image Analysis

类别：Model Deployment

类别：Big Data

类别：Data Pipelines

Preparing for your Professional Data Engineer Journey

第 5 门课程 4小时

您将学到什么

List the domains covered on the Professional Data Engineer (PDE) certification exam.
Identify gaps in your knowledge and skills for each domain.

您将获得的技能

类别：Data Storage

类别：Data Processing

类别：Data Management

类别：Google Cloud Platform

类别：Data Pipelines

类别：Cloud Storage

类别：Automation

类别：Data Infrastructure

类别：Data Architecture

类别：Data Analysis

类别：Cloud Engineering

类别：Data Preprocessing

获得职业证书

将此证书添加到您的 LinkedIn 个人资料、简历或履历中。在社交媒体和绩效考核中分享。

位教师

Google Cloud Training

Google Cloud

2,039 门课程 3,846,761 名学生

提供方

Google Cloud

人们为什么选择 Coursera 来帮助自己实现职业发展

Felipe M.

自 2018开始学习的学生

''能够按照自己的速度和节奏学习课程是一次很棒的经历。只要符合自己的时间表和心情，我就可以学习。'

Jennifer J.

自 2020开始学习的学生

''我直接将从课程中学到的概念和技能应用到一个令人兴奋的新工作项目中。'

Larry W.

自 2021开始学习的学生

''如果我的大学不提供我需要的主题课程，Coursera 便是最好的去处之一。'

Chaitanya A.

''学习不仅仅是在工作中做的更好：它远不止于此。Coursera 让我无限制地学习。'

常见问题

This Professional Certificate is designed to be completed in three and a half months at five hours per week.

One (1) year of experience with one or more of the following:

• A common query language such as SQL

• Extract, transform, load activities

• Data modeling

• Machine learning and/or statistics

• Programming in Python

We strongly recommend you take these courses in order, beginning with Big Data and Machine Learning Fundamentals. This is especially important when completing the Qwiklabs projects, as these hands-on labs build upon the work you complete in preceding courses.