Enroll Course: https://www.coursera.org/learn/source-systems-data-ingestion-and-pipelines
If you’re looking to deepen your understanding of modern data engineering practices, the Coursera course “Source Systems, Data Ingestion, and Pipelines” is an exceptional choice. This course offers a thorough exploration of the key components needed to build, manage, and troubleshoot data pipelines effectively. From understanding various source systems to implementing batch and streaming ingestion pipelines, it covers all essential aspects.
The course begins by familiarizing learners with common source systems, teaching how data is generated and updated, and providing troubleshooting strategies for connectivity issues. This foundational knowledge is crucial for any data engineer. Moving forward, the course dives into data ingestion patterns, contrasting batch and streaming methods, and demonstrating the implementation of pipelines using AWS services.
A significant highlight is the dedicated section on DataOps, where learners explore automation practices, CI/CD integration, and infrastructure as code tools like Terraform. Monitoring and observability are also emphasized, with practical insights into using Great Expectation and Amazon CloudWatch.
The final modules focus on orchestrating data pipelines with Airflow, helping learners master task scheduling and pipeline management. The hands-on approach, combined with real-world tools and techniques, makes this course highly valuable.
I highly recommend this course to aspiring data engineers, data analysts, and anyone involved in data pipeline management. Its comprehensive curriculum, practical exercises, and focus on current industry tools make it an excellent investment for advancing your data engineering skills.
Enroll Course: https://www.coursera.org/learn/source-systems-data-ingestion-and-pipelines