Google Cloud
Preparing for Google Cloud Certification: Cloud Data Engineer Professional Certificate
102,704 enrolled
Google Cloud

Preparing for Google Cloud Certification: Cloud Data Engineer Professional Certificate

Advance your career in data engineering

Included with Coursera Plus

Earn a career credential that demonstrates your expertise

(7,110 reviews)

Intermediate level

Recommended experience

Flexible schedule
1 month at 10 hours a week
Earn a career credential
Share your expertise with employers
Earn a career credential that demonstrates your expertise

(7,110 reviews)

Intermediate level

Recommended experience

Flexible schedule
1 month at 10 hours a week
Earn a career credential
Share your expertise with employers

Overview

  • 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.

What’s included

Shareable certificate

Add to your LinkedIn profile

Industry certification
Taught in English
34 practice exercises

Professional Certificate - 5 course series

What you'll learn

  • 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.

Skills you'll gain

Category: Google Cloud Platform
Category: Data Warehousing
Category: Data Lakes
Category: Cloud Storage
Category: Data Transformation
Category: Data Processing
Category: SQL
Category: Data Infrastructure
Category: Big Data
Category: Data Security
Category: Scalability
Category: Data Pipelines

What you'll learn

  • Review different methods of data loading: EL, ELT and ETL and when to use what

  • Run Hadoop on Dataproc, leverage Cloud Storage, and optimize Dataproc jobs

  • Build your data processing pipelines using Dataflow

  • Manage data pipelines with Data Fusion and Cloud Composer

Skills you'll gain

Category: Data Pipelines
Category: Apache Spark
Category: Google Cloud Platform
Category: Data Processing
Category: Cloud Storage
Category: Data Transformation
Category: Dataflow
Category: Extract, Transform, Load
Category: Data Wrangling
Category: Serverless Computing
Category: Data Integration

What you'll learn

  • Interpret use-cases for real-time streaming analytics.

  • Manage data events using the Pub/Sub asynchronous messaging service.

  • Write streaming pipelines and run transformations where necessary.

  • Interoperate Dataflow, BigQuery and Pub/Sub for real-time streaming and analysis

Skills you'll gain

Category: Data Processing
Category: Performance Tuning
Category: Google Cloud Platform
Category: Data Pipelines
Category: Real Time Data
Category: Big Data
Category: SQL
Category: Analytics
Category: Scalability

What you'll learn

  • 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.

Skills you'll gain

Category: Google Cloud Platform
Category: Artificial Intelligence and Machine Learning (AI/ML)
Category: Machine Learning
Category: Cloud API
Category: Jupyter
Category: Applied Machine Learning
Category: Unstructured Data
Category: Tensorflow
Category: Artificial Intelligence
Category: Data Pipelines
Category: Natural Language Processing
Category: Data Processing
Category: Big Data
Category: MLOps (Machine Learning Operations)
Category: Analytics

What you'll learn

  • List the domains covered on the Professional Data Engineer (PDE) certification exam.

  • Identify gaps in your knowledge and skills for each domain.

Skills you'll gain

Category: Data Storage
Category: Data Processing
Category: Google Cloud Platform
Category: Data Management
Category: Data Migration
Category: Data Pipelines
Category: Data Security
Category: Automation
Category: Data Warehousing
Category: Data Maintenance
Category: Data Architecture
Category: Data Infrastructure
Category: Data Analysis

Earn a career certificate

Add this credential to your LinkedIn profile, resume, or CV. Share it on social media and in your performance review.

Instructor

Google Cloud Training
Google Cloud
1,914 Courses3,543,893 learners

Offered by

Google Cloud

Why people choose Coursera for their career

Felipe M.
Learner since 2018
"To be able to take courses at my own pace and rhythm has been an amazing experience. I can learn whenever it fits my schedule and mood."
Jennifer J.
Learner since 2020
"I directly applied the concepts and skills I learned from my courses to an exciting new project at work."
Larry W.
Learner since 2021
"When I need courses on topics that my university doesn't offer, Coursera is one of the best places to go."
Chaitanya A.
"Learning isn't just about being better at your job: it's so much more than that. Coursera allows me to learn without limits."
Coursera Plus

Open new doors with Coursera Plus

Unlimited access to 10,000+ world-class courses, hands-on projects, and job-ready certificate programs - all included in your subscription

Advance your career with an online degree

Earn a degree from world-class universities - 100% online

Join over 3,400 global companies that choose Coursera for Business

Upskill your employees to excel in the digital economy

Frequently asked questions

¹ Median salary and job opening data are sourced from Lightcast™ Job Postings Report. Content Creator, Machine Learning Engineer and Salesforce Development Representative (1/1/2024 - 12/31/2024) All other job roles (8/1/2024 - 8/1/2025)