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 +1 more
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136 reviews
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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
- Category: IT Automation
- Category: Infrastructure as Code (IaC)
- Category: Network Troubleshooting
- Category: Data Transformation
- Category: Data Pipelines
- Category: Data Integration
- Category: Data Processing
- Category: CI/CD
- Category: Data Quality
- Category: Extract, Transform, Load
Tools you'll learn
- Category: Amazon CloudWatch
- Category: Apache Airflow
- Category: Amazon Web Services
- Category: NoSQL
- Category: Terraform
Details to know

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4 assignments
Build your Cloud Computing expertise
- 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
Reviewed on Nov 23, 2024
Really valuable, and I got an idea of data-related concepts and infrastructure management.
Reviewed on Jan 18, 2025
great learning and exercises. appreciate the community.
Reviewed on Mar 23, 2025
best course and best projects to practice for data engineering