A good course can make a difference between failing and passing your exam. A professional course is also designed to make sure that you get the requisite skills and knowledge. That’s what this Google Professional Cloud Data Engineer training is all about. It will take you through a number of topics covering what data engineering on the Google Cloud Platform is. Once you complete this tutorial, you will have a better chance of passing your Google exam. Passing the test will lead you to the Google Professional Data Engineer certification.

Description

This course consisting of a series of video lectures, practice tests, transcripts, case studies, labs, and other study resources prepares you to pass your Google Professional Data Engineer exam. It takes you through a number of topics and concepts that include designing, building, maintaining, and troubleshooting data related processing systems. The emphasis of all this is being placed on the security, scalability, fault-tolerance, reliability, fidelity, as well as efficiency of these systems. You will learn how to design and manage systems used to collect, transform, and visualize data. In this training, you will also learn how to analyze data for the purpose of gaining insight into various business outcomes, the process of building statistical models supporting decision-making, and creating models of machine learning to automate and simplify core business processes.

The course topics are broken down into easy-to-understand modules. It is recommended that you organise your own labs for the purpose of practicing what you learn. This is the only way you can get the much needed hands-on experience. It goes beyond just theory or memorizing. The skills that you obtain here are supposed to help you carry out these tasks in a real-world scenario.

Prerequisites

• Basic knowledge in relational databases and NoSQL
• SQL basics
• Knowledge of VMs would be an added advantage

Course objectives

• Building and maintaining data structures and databases
• Designing data-based processing systems
• Analysing data and enabling machine learning
• Modelling of business processes to be used in analysing and optimizing data
• Designing for reliability
• Visualizing data and advocating policy
• Designing for security and compliance

Exam details

• Type of questions: multiple choice
• Duration: 2 hours
• Languages: English, Spanish, Japanese, Portuguese
• Certification validity: 2 years

Target audience

• Candidates preparing for the Google Professional Data Engineer exam
• Anyone who wants to learn more about virtual machines and other related technologies on the Google Cloud Platform

Conclusion

Looking at all these details, one can clearly see that the Google Cloud Platform is now the most popular platform. Taking this Google course will put you in an advantageous position in the job market. It takes you through content that helps you pass your exam and obtain your Google Professional Data Engineer certification. In the process of taking your training, you will gain knowledge and practical skills that will open great job opportunities for you.

Job titles:

• Data scientist engineering
• Data analyst
• Application engineer, data hardware
• Data analytics engineer
• Google Cloud specialist
• Data Center engineer

These jobs are known to give a salary of up to $226,000 in the USA.