In this course, you will explore various types of source systems, learn how they generate and update data, and troubleshoot common issues you might encounter when trying to connect to these systems in the real world. You’ll dive into the details of common ingestion patterns and implement batch and streaming pipelines. You’ll automate and orchestrate your data pipelines using infrastructure as code and pipelines as code tools. You’ll also explore AWS and open source tools for monitoring your data systems and data quality.
Source Systems, Data Ingestion, and Pipelines
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Source Systems, Data Ingestion, and Pipelines
This course is part of DeepLearning.AI Data Engineering Professional Certificate
Instructors: Joe Reis
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13,195 already enrolled
Gain insight into a topic and learn the fundamentals.
136 reviews
Intermediate level
Recommended experience
Flexible schedule
3 weeks at 10 hours a week
Learn at your own pace
92%
Most learners liked this course
What you'll learn
Gather stakeholder needs and translate them into system requirements.
Implement a batch and a streaming ingestion process on AWS to ingest data from various source systems.
Integrate aspects of security, data management, DataOps and orchestration into the data systems you build.
Skills you'll gain
Tools you'll learn
Details to know
Shareable certificate
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Assessments
4 assignments
Taught in English
91%
of learners achieved a positive career outcome
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Build your Cloud Computing expertise
This course is part of the DeepLearning.AI Data Engineering Professional Certificate
When you enroll in this course, you'll also be enrolled in this Professional Certificate.
- Learn new concepts from industry experts
- Gain a foundational understanding of a subject or tool
- Develop job-relevant skills with hands-on projects
- Earn a shareable career certificate from DeepLearning.AI
There are 4 modules in this course
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Showing 3 of 136
TS
Reviewed on Nov 23, 2024
Really valuable, and I got an idea of data-related concepts and infrastructure management.
DD
Reviewed on Mar 23, 2025
best course and best projects to practice for data engineering
YZ
Reviewed on Jul 12, 2025
Great overview of the data pipeline life cycle. If you are new to this area it gives you a good introduction and best practices from the beginning.
