This Learning Path is designed to help you prepare for the Google Certified Professional Data Engineer Exam. Even if you don't plan to take the Exam, these Courses will help you gain a solid understanding of the various data processing components of the Google Cloud Platform. The Learning Path for the Google Certified Professional Data Engineer exam lasts almost 8 hours and consists of 9 courses and 5 quizzes.
At the heart of Google’s big data services is BigQuery, a managed data warehouse in the cloud. The first three Courses will show you how to load and query data in BigQuery, optimize BigQuery’s performance, and visualize your data.
The next three Courses will show you how to process your data. First, you will use Cloud Machine Learning Engine to train neural networks to perform predictive analytics. Next, you’ll use Cloud Dataflow and Cloud Dataproc to build data processing pipelines that transform and summarize your data using Apache Beam, Hadoop, and Spark.
The final Course will introduce you to Bigtable, Google’s revolutionary NoSQL database. It will show you how to take advantage of Bigtable’s high performance for big data applications.
All seven of these Courses include hands-on demos you can do yourself. Then you can test what you’ve learned by taking the five Quizzes included. Finally, watch the “Additional Topics” video to find out what other resources you should review before taking the Exam.
You will take away a range of skills and a plethora of knowledge from completing this Learning Path. You can expect to learn the following:
- Design a data processing system
- Build and maintain data structures and databases
- Analyze data and enable machine learning
- Optimize data representations, data infrastructure performance, and cost
- Ensure reliability of data processing infrastructure
- Visualize data
- Design secure data processing systems
- Basic database knowledge
- Data professionals
- People studying for the Google Professional Data Engineer exam
This Learning Path Includes:
- 9 video Courses
- 5 Quizzes
If you have thoughts or suggestions for this Learning Path, please contact Cloud Academy at email@example.com.
- Apr. 9, 2018: Added Building Convolutional Neural Networks on Google Cloud course
What is a Google certified professional?
A Google certified professional is an accredited certification exhibiting an individuals’ understanding and capabilities to work within the Google Cloud space. It is offered to those who are able to demonstrate proficiency in the, either/both, basic and advanced criterias.
What degree do you need to be a data engineer?
Usually, a bachelor’s degree in software engineering is a requisite of choosing a path of data engineer. Most businesses and enterprises usually request this ability as a criteria for any software or data engineering positions.
How can I get Google certified?
The best way to get certified for a Google certification is to book the exam you are looking to take in the respective role. Up until this point, it is best to study using our Cloud Academy training content with dedicated Learning Path’s for the GCP platform.
What is the Google certification program?
The Google certification program allows individuals to take exams to gain recognition for their skills as a developer in their respective field. After passing the certification exam, you will be including in the official certification directory and have access to a whole host of wider opportunities.
Learning Path Steps
BigQuery is Google’s managed data warehouse in the cloud. BigQuery is incredibly fast. It can scan billions of rows in seconds. It’s also surprisingly inexpensive and easy to use. Querying terabytes of data costs only pennies and you only pay for what you u...
BigQuery is Google's incredibly fast, secure, and surprisingly inexpensive data warehouse, but there are ways to make it even faster, cheaper, and more secure. Here are some examples of what you will learn in this course: BigQuery can process billions o...
Course Description Google Data Studio is a web-based application for creating reports and dashboards. It’s an easy-to-use tool for displaying your data visually. It was designed to help Google Analytics users create custom reports, but it can now read data...
Machine learning is a hot topic these days and Google has been one of the biggest newsmakers. Recently, Google’s AlphaGo program beat the world’s No. 1 ranked Go player. That’s impressive, but Google’s machine learning is being used behind the scenes every ...
Course Description Once you know how to build and train neural networks using TensorFlow and Google Cloud Machine Learning Engine, what’s next? Before long, you’ll discover that prebuilt estimators and default configurations will only get you so far. To op...
Most organizations are already gathering and analyzing big data or plan to do so in the near future. One common way to process huge datasets is to use Apache Hadoop or Spark. Google even has a managed service for hosting Hadoop and Spark. It’s called Cloud ...
Course Description Google Cloud Dataproc is a managed service for running Apache Hadoop and Spark jobs. It can be used for big data processing and machine learning. But you could run these data processing frameworks on Compute Engine instances, so what do...
Bigtable is an internal Google database system that’s so revolutionary that it kickstarted the NoSQL industry. In the mid 2000’s, Google had a problem. The web indexes behind its search engine had become massive and it took a long time to keep rebuilding th...
This short video gives you a list of some of the other resources you should review before taking the Google Certified Professional Data Engineer exam.
GCP Data Engineer Certification Preparation
Added preparation exam
About the Author
Guy launched his first training website in 1995 and he's been helping people learn IT technologies ever since. He has been a sysadmin, instructor, sales engineer, IT manager, and entrepreneur. In his most recent venture, he founded and led a cloud-based training infrastructure company that provided virtual labs for some of the largest software vendors in the world. Guy’s passion is making complex technology easy to understand. His activities outside of work have included riding an elephant and skydiving (although not at the same time).