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Preparing for your Professional Data Engineer Journey
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CERTIFICATE

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Preparing for your Professional Data Engineer Journey

This course is part of Preparing for Google Cloud Data Engineer Certification.

Course Cost

Free course

Advanced

Skill Level

5 Hours

Self-paced lessons

This course cannot be purchased separately - to access the complete learning experience, graded assignments, and earn certificates, you'll need to enroll in the full Preparing for Google Cloud Certification: Cloud Data Engineer Professional Certificate program. You can audit this specific course for free to explore the content, which includes access to course materials and lectures. This allows you to learn at your own pace without any financial commitment.

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4.6

46,543 Enrolled

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English

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olive-leaves-logo

4.6

46,543 Enrolled

olive-leaves-logo

English

What you'll learn

  • Understand the Professional Data Engineer certification exam structure

  • Identify knowledge gaps in each exam domain

  • Create a personalized study plan for certification

  • Assess readiness for the certification exam

  • Master key concepts in data processing and storage

Skills you'll gain

Data Engineering
Google Cloud Platform
Cloud Computing
Data Processing
Data Storage
Data Analysis
Professional Certification
Cloud Infrastructure
Data Workflows
System Design

This course includes:

0.6 Hours PreRecorded video

10 quizzes

Access on Mobile, Tablet, Desktop

FullTime access

Shareable certificate

Get a Completion Certificate

Share your certificate with prospective employers and your professional network on LinkedIn.

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Certificate
Certificate

Get a Completion Certificate

Share your certificate with prospective employers and your professional network on LinkedIn.

CREATED BY

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PROVIDED BY

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Top companies offer this course to their employees

Top companies provide this course to enhance their employees' skills, ensuring they excel in handling complex projects and drive organizational success.

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There are 7 modules in this course

This comprehensive course helps learners prepare for the Professional Data Engineer (PDE) certification exam by exploring the exam's domains and creating a personalized study plan. Through detailed modules covering data processing systems, data ingestion, storage, analysis, and workflow automation, participants assess their readiness and identify knowledge gaps. The course includes diagnostic questions and practical resources to build confidence for the certification exam.

Introduction to Professional Data Engineer (PDE) Certification

Module 1 · 25 Minutes to complete

Designing Data Processing Systems

Module 2 · 43 Minutes to complete

Ingesting and Processing Data

Module 3 · 47 Minutes to complete

Storing Data

Module 4 · 47 Minutes to complete

Preparing and Using Data for Analysis

Module 5 · 1 Hours to complete

Maintaining and Automating Data Workloads

Module 6 · 48 Minutes to complete

Summary

Module 7 · 4 Minutes to complete

Fee Structure

Individual course purchase is not available - to enroll in this course with a certificate, you need to purchase the complete Professional Certificate Course. For enrollment and detailed fee structure, visit the following: Preparing for Google Cloud Data Engineer Certification

Reviews

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Faculties

These are the expert instructors who will be teaching you throughout the course. With a wealth of knowledge and real-world experience, they're here to guide, inspire, and support you every step of the way. Get to know the people who will help you reach your learning goals and make the most of your journey.

Preparing for your Professional Data Engineer Journey

Advanced

Skill Level

5 Hours

Self-paced lessons

Course Cost

Free course

Completion

CERTIFICATE

Frequently asked Questions

Below are some of the most commonly asked questions about this course. We aim to provide clear and concise answers to help you better understand the course content, structure, and any other relevant information. If you have any additional questions or if your question is not listed here, please don't hesitate to reach out to our support team for further assistance.