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Pipeline

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May 1, 2024 Updated June 4, 2025 18 minute read
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The World of Pipelines: From Essential Infrastructure to Digital Flows

Pipelines are fundamental to modern civilization, forming the unseen networks that transport essential resources like water, oil, and gas across vast distances. Beyond these physical conduits, the "pipeline" concept also extends into the digital realm, describing structured sequences of data processing and software delivery. This article explores the multifaceted world of pipelines, from the engineering marvels that fuel our industries to the digital workflows that power our information age. Understanding pipelines opens doors to diverse career paths, blending traditional engineering with cutting-edge technology.

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We've curated eight courses to help you on your path to Pipeline. Use these to develop your skills, build background knowledge, and put what you learn to practice.
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Reading list

We've selected five 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 Pipeline.
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Creators of Intelligence
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Written by a leading data scientist, this book offers practical advice on designing and building effective data pipelines that can transform raw data into actionable insights.
Creators of Intelligence: Industry secrets from AI...
Kindle Edition
$$
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Designing Data-Intensive Applications
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While not exclusively focused on data pipelines, this book provides a comprehensive overview of the design patterns and principles used in building large-scale data-intensive applications, including data pipelines.
Designing Data-Intensive Applications: The Big...
Paperback
$$
Designing Data-Intensive Applications: The Big...
Kindle Edition
$$
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Data Pipelines Pocket Reference
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Provides a comprehensive overview of the data pipeline lifecycle, from design to deployment and monitoring.
Data Pipelines Pocket Reference: Moving and...
Paperback
$$
Data Pipelines Pocket Reference: Moving and...
Kindle Edition
$$
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Python for Data Analysis
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While not exclusively focused on data pipelines, this book provides a strong foundation in Python data analysis libraries such as Pandas and NumPy, which are commonly used in data pipeline development.
Python for Data Analysis
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Python for Data Analysis
Kindle Edition
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Python High Performance Programming
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Provides a comprehensive overview of Python optimization techniques, which can be applied to improve the performance of data pipelines.
Advanced Python Programming: Build high performance...
Kindle Edition
$$
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