Preparing for Google Cloud Certification: Cloud Data Engineer Professional Certificate

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Brief Introduction

Advance your career in data engineering

Course Summary

This course focuses on data engineering in Google Cloud Platform (GCP). Students will learn how to design, build, operationalize, and monitor data processing systems using GCP technologies and tools.

Key Learning Points

  • Learn how to design, build, operationalize, and monitor data processing systems using GCP technologies and tools.
  • Gain hands-on experience with GCP data processing services such as Cloud Storage, Cloud Pub/Sub, Cloud Dataflow, Cloud Bigtable, Cloud Dataproc, and Cloud Composer.
  • Acquire skills in data modeling, data access, data storage, data processing, and data analysis.

Job Positions & Salaries of people who have taken this course might have

    • USA: $95,000
    • India: ₹1,500,000
    • Spain: €40,000
    • USA: $95,000
    • India: ₹1,500,000
    • Spain: €40,000

    • USA: $125,000
    • India: ₹2,000,000
    • Spain: €55,000
    • USA: $95,000
    • India: ₹1,500,000
    • Spain: €40,000

    • USA: $125,000
    • India: ₹2,000,000
    • Spain: €55,000

    • USA: $120,000
    • India: ₹1,800,000
    • Spain: €50,000
    • USA: $95,000
    • India: ₹1,500,000
    • Spain: €40,000

    • USA: $125,000
    • India: ₹2,000,000
    • Spain: €55,000

    • USA: $120,000
    • India: ₹1,800,000
    • Spain: €50,000

    • USA: $135,000
    • India: ₹2,200,000
    • Spain: €60,000

Related Topics for further study


Learning Outcomes

  • Design and implement data processing systems on GCP
  • Build scalable and reliable data pipelines using GCP technologies
  • Optimize data processing systems for performance and cost

Prerequisites or good to have knowledge before taking this course

  • Basic knowledge of SQL
  • Familiarity with programming concepts and languages such as Python and Java

Course Difficulty Level

Intermediate

Course Format

  • Self-paced online course
  • Video lectures
  • Hands-on labs
  • Quizzes

Similar Courses

  • AWS Certified Big Data - Specialty
  • Microsoft Certified: Azure Data Engineer Associate
  • IBM Data Engineering and Integration Professional Certificate

Related Education Paths


Notable People in This Field

  • Maxime Beauchemin
  • Amanda Casari
  • Martin Görner

Related Books

Description

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.

Summary of User Reviews

Read reviews about the GCP Data Engineering Professional Certificate program on Coursera. Many users have found the course to be comprehensive and well-structured. The program has received high ratings from students.

Key Aspect Users Liked About This Course

Comprehensive and well-structured course

Pros from User Reviews

  • Great content and hands-on experience
  • Well-organized and easy to follow
  • Valuable skills for career advancement
  • Expert instructors with real-world experience

Cons from User Reviews

  • Some concepts may be difficult for beginners
  • Lack of interaction with instructors
  • Limited support for technical issues
  • Expensive compared to other online courses
  • Course materials and quizzes could be improved
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