Preparing for Google Cloud Certification: Cloud Data Engineer Professional Certificate

Preparing for Google Cloud Certification: Cloud Data Engineer Professional Certificate

Preparing for Google Cloud Certification: Cloud Data Engineer Professional Certificate Advance your career in data engineering Taught in English Instructor: Google Cloud Training Enroll for Free Starts Apr 3 Financial aid available 86,071 already enrolled Included with • Learn more Professional Certificate – 6 course series Earn a career credential that demonstrates your expertise 4.6

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Description

The field of cloud computing is rapidly expanding, with companies increasingly embracing the flexibility and efficiency that cloud services offer. To stay competitive in this evolving landscape, professionals need to update their skills and knowledge in cloud technologies. One key way to demonstrate expertise in cloud computing is by obtaining a Google Cloud Certification.

Among the various Google Cloud certifications available, the Cloud Data Engineer Professional Certificate is particularly valuable for professionals working with data in cloud environments. This certification validates an individual’s ability to design, build, and manage data processing systems on the Google Cloud Platform.

Preparing for the Cloud Data Engineer Professional Certificate requires a combination of study, practice, and hands-on experience with Google Cloud Platform tools and services. Here are some steps that can help aspiring candidates successfully prepare for and pass the certification exam:

1

Preparing for Google Cloud Certification: Cloud Data Engineer Professional Certificate

Advance your career in data engineering

Taught in English

Google Cloud Training

Instructor: Google Cloud Training

86,071 already enrolled

Included with Coursera Plus

Professional Certificate – 6 course series

Earn a career credential that demonstrates your expertise

4.6

(6,891 reviews)

Intermediate level

Recommended experience

1 month at 10 hours a week
Flexible schedule
Learn at your own pace

What you’ll learn

  • 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.

Details to know

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