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Cloud Data Engineering
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Cloud Data Engineering

Master cloud-based data engineering with hands-on training in ETL, serverless pipelines, and distributed systems. Perfect for Python developers.

Course Cost

Free course

Intermediate

Skill Level

39 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 Building Cloud Computing Solutions at Scale Specialization 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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4.1

12,182 Enrolled

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English

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olive-leaves-logo

4.1

12,182 Enrolled

olive-leaves-logo

English

What you'll learn

  • Develop distributed systems for data engineering applications

  • Build serverless data engineering pipelines in cloud platforms

  • Implement ETL processes and data governance practices

  • Create efficient command-line data processing tools

  • Manage cloud databases and storage solutions

Skills you'll gain

Data Engineering
ETL
Cloud Computing
Serverless Architecture
Big Data
AWS Lambda
Cloud Storage
Database Management
Python
Data Governance

This course includes:

11.75 Hours PreRecorded video

16 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 4 modules in this course

This comprehensive course focuses on applying data engineering principles to real-world projects using cloud computing. Students learn to develop data engineering applications using software development best practices, including continuous deployment, code quality tools, and monitoring. The curriculum covers serverless data engineering, ETL processes, cloud databases, and storage solutions while emphasizing hands-on experience with building data pipelines in major cloud platforms.

Getting Started with Cloud Data Engineering

Module 1 · 12 Hours to complete

Examining Principles of Data Engineering

Module 2 · 11 Hours to complete

Building Data Engineering Pipelines

Module 3 · 6 Hours to complete

Applying Key Data Engineering Tasks

Module 4 · 10 Hours to complete

Fee Structure

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.

Cloud Data Engineering

Intermediate

Skill Level

39 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.