Welcome to the third course in the Building Cloud Computing Solutions at Scale Specialization! In this course, you will learn how to apply Data Engineering to real-world projects using the Cloud computing concepts introduced in the first two courses of this series. By the end of this course, you will be able to develop Data Engineering applications and use software development best practices to create data engineering applications. These will include continuous deployment, code quality tools, logging, instrumentation and monitoring. Finally, you will use Cloud-native technologies to tackle complex data engineering solutions.
Cloud Data Engineering
Cloud Data Engineering
This course is part of Building Cloud Computing Solutions at Scale Specialization
Instructor: Noah Gift
13,985 already enrolled
Included with 
Gain insight into a topic and learn the fundamentals.
4.1
(81 reviews)
Intermediate level
Recommended experience
40 hours to complete
3 weeks at 13 hours a week
Flexible schedule
Learn at your own pace
Skills you'll gain
- Cloud Computing
- Continuous Integration
- Data Governance
- Command-Line Interface
- Software Engineering
- Big Data
- Python Programming
- Serverless Computing
- NumPy
- Data Pipelines
- Data Processing
- Google Cloud Platform
- Extract, Transform, Load
- Cloud-Native Computing
- Software Development
- Cloud Storage
- Unix Commands
- Amazon Web Services
- Distributed Computing
Details to know
Shareable certificate
Add to your LinkedIn profile
Assessments
16 assignments
Taught in English
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This course is part of the Building Cloud Computing Solutions at Scale Specialization
When you enroll in this course, you'll also be enrolled in this Specialization.
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There are 4 modules in this course
This week, you will learn about the methodologies involved in Data Engineering. You will also learn to evaluate best practices for dealing with the end of Moore’s Law, develop distributed systems that apply software engineering best practices and evaluate best practices for implementing solutions with Big Data. You will apply these practices to build a GPU programming project using Numba and the CUDA SDK.
What's included
25 videos22 readings5 assignments4 discussion prompts3 ungraded labs
This week, you will learn what Data Engineering is and how to use software engineering best practices in Data Engineering. You will then apply this knowledge by building a command-line data processing tool.
What's included
16 videos10 readings4 assignments3 discussion prompts4 ungraded labs
This week, you will learn serverless data engineering techniques and data governance best practices. You will then apply this knowledge by building a serverless Data Engineering system.
What's included
23 videos7 readings3 assignments2 discussion prompts
This week, you will learn about key Data Engineering tasks including ETL, Cloud Databases and Cloud Storage. You will then apply this knowledge by building a serverless AWS lambda function that labels an image using the AWS Rekognition API.
What's included
20 videos10 readings4 assignments3 discussion prompts4 ungraded labs
Instructor
Instructor ratings
4.5 (23 ratings)Offered by
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4.1
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RA
4
Reviewed on Dec 30, 2021
Very important information and concepts was shared.
MM
5
Reviewed on Dec 20, 2022
Great introduction to the concepts, very good practical examples, with relevant technologies and platforms.
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