May 1, 2024
Updated June 25, 2025
21 minute read
Navigating the World of Data Pipelines
A data pipeline is a system for moving data from a source to a destination, often involving transformations along the way. Think of it like a sophisticated plumbing system for information, ensuring that raw data is collected, processed, and delivered to where it can be analyzed and used for decision-making. These pipelines are fundamental to modern data-driven organizations, enabling everything from business intelligence and analytics to operational applications and machine learning.
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Find a path to becoming a Data Pipeline. Learn more at:
OpenCourser.com/topic/dkozp9/data
Reading list
We've selected seven books
that we think will supplement your
learning. Use these to
develop background knowledge, enrich your coursework, and gain a
deeper understanding of the topics covered in
Data Pipeline.
Provides a comprehensive overview of the concepts, design, and implementation of data pipelines. It covers the entire data pipeline lifecycle, from data ingestion to data consumption. The book is written in a clear and concise style and provides numerous examples and case studies.
Provides a comprehensive guide to building data pipelines for the enterprise. It covers all aspects of the data pipeline lifecycle, from data ingestion to data consumption. The book is well-written and provides numerous examples and case studies.
Provides a comprehensive guide to building data pipelines for machine learning projects. It covers all aspects of the data pipeline lifecycle, from data ingestion to data consumption. The book is well-written and provides numerous examples and case studies.
Provides a comprehensive guide to building data pipelines with Google Cloud Dataflow. It covers all aspects of the Google Cloud Dataflow framework, from installation to configuration to deployment. The book is well-written and provides numerous code examples.
Provides a comprehensive guide to building data pipelines with Azure Data Factory. It covers all aspects of the Azure Data Factory framework, from installation to configuration to deployment. The book is well-written and provides numerous code examples.
Provides a comprehensive guide to building data pipelines with Apache Beam. It covers all aspects of the Beam framework, from installation to configuration to deployment. The book is well-written and provides numerous code examples.
Provides a comprehensive guide to building data pipelines with AWS Glue. It covers all aspects of the AWS Glue framework, from installation to configuration to deployment. The book is well-written and provides numerous code examples.
For more information about how these books relate to this course, visit:
OpenCourser.com/topic/dkozp9/data
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