May 1, 2024
Updated June 18, 2025
21 minute read
An In-Depth Guide to Persistent Storage
Persistent storage is a fundamental concept in computing, referring to any method or device that retains digital data even when it is not powered. Think of it as the long-term memory for computers and digital systems, ensuring that your documents, photos, applications, and operating systems are there when you turn your device back on. Without persistent storage, every time you switched off your computer, all your information would vanish. This capability is crucial for everything from personal computing to large-scale enterprise data centers and cloud computing environments.
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Find a path to becoming a Persistent Storage. Learn more at:
OpenCourser.com/topic/p5aeui/persistent
Reading list
We've selected 24 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
Persistent Storage.
Is highly relevant for understanding the challenges and solutions in building modern data systems that require persistent storage. It covers a wide range of topics including data models, storage formats, distributed data systems, consistency, and reliability. It's considered a must-read for anyone working with large-scale data and distributed storage.
Takes a practical approach to understanding the internals of databases and storage engines. It delves into the data structures and concepts that underpin how data is organized and distributed, which is essential for a deep understanding of persistent storage systems. It's a valuable resource for engineers and developers working with databases.
Given the context of the online courses, this book is highly relevant as it covers how to manage stateful applications and persistent storage within a Kubernetes environment. It explains concepts like Persistent Volumes and Persistent Volume Claims, which are crucial for handling persistent data in cloud-native deployments.
Focusing on the operational aspects of persistent storage systems, this book covers designing and operating reliable databases. It is highly relevant for understanding the practical challenges of ensuring data durability, availability, and performance in production environments.
This foundational text in database systems, providing a comprehensive overview of data models, query languages, and storage management. It is widely used as a textbook in undergraduate and graduate programs and serves as an excellent starting point for understanding the core principles of persistent data management. While not solely focused on physical storage, it lays essential groundwork for understanding how data is organized and accessed persistently.
This classic and in-depth book on transaction processing, a critical aspect of ensuring data consistency and durability in persistent storage systems, especially in database environments. It comprehensive reference for understanding the complexities of concurrent access and recovery.
Provides a detailed look at the organization, performance, coding, and reliability of storage systems, including discussions on RAID and flash memories. It offers a deeper understanding of the underlying hardware and techniques used for persistent storage, making it valuable for those interested in the physical aspects.
This classic textbook provides a broad understanding of operating systems, including in-depth coverage of file systems and secondary storage management. It explains how operating systems interact with storage devices, manage files, and ensure data persistence. is crucial for understanding the low-level aspects of persistent storage.
Delves into the networking infrastructure required for cloud-native data centers, which is highly relevant to accessing and managing persistent storage in cloud environments. It covers network design, protocols, and technologies that support distributed storage systems.
Covers fundamental principles of computer system design, including how persistent storage fits into the overall system architecture. It provides a broader context for understanding the role of persistent storage in building reliable and scalable systems.
Focuses on the networking aspects of data storage, which are increasingly important in modern persistent storage architectures, particularly in cloud and distributed systems. It covers topics like storage protocols, network infrastructure for storage, and storage security.
Provides a comprehensive overview of cloud computing, including its architectures, services, and applications. It valuable resource for anyone looking to gain a deeper understanding of the topic.
While focused on forensics, this book provides a deep technical understanding of how file systems organize and store data persistently. It dissects various file system structures and mechanisms, offering a detailed view of how data is written, retrieved, and managed at a fundamental level.
Provides a comprehensive overview of advanced Unix programming techniques, including topics such as file systems, process management, and network programming. It valuable resource for anyone looking to gain a deeper understanding of the topic.
While a broad computer architecture book, it includes sections on memory hierarchies and storage systems, providing a hardware-level perspective on persistent storage. Understanding the underlying hardware is beneficial for comprehending the performance characteristics and limitations of storage.
Provides a comprehensive overview of computability and complexity theory, including topics such as Turing machines, recursive functions, and computational complexity. It valuable resource for anyone looking to gain a deeper understanding of the topic.
Provides a comprehensive overview of artificial intelligence, including topics such as machine learning, natural language processing, and computer vision. It valuable resource for anyone looking to gain a deeper understanding of the topic.
For more information about how these books relate to this course, visit:
OpenCourser.com/topic/p5aeui/persistent
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