Best Network Storage & Retrieval Administration Books of 2025

Fundamentals of Data Engineering: Plan and Build Robust Data Systems is a practical guide for software engineers, data scientists, and analysts seeking a comprehensive view of data engineering. The authors, Joe Reis and Matt Housley, walk readers through the data engineering lifecycle, providing an end-to-end framework of best practices for designing and building a robust architecture. Readers will also learn how to evaluate the best technologies available and incorporate data governance and security across the data engineering lifecycle. This book is a valuable resource for anyone looking to navigate the rapidly-growing field of data engineering.

The Data Management Body of Knowledge (DAMA-DMBOK2) is an authoritative reference book that provides a comprehensive view of the challenges, complexities, and value of effective data management. This second edition updates and augments the highly successful DMBOK1, bringing together materials that comprehensively describe the challenges of data management and how to meet them. It defines guiding principles for data management, provides a functional framework for the implementation of enterprise data management practices, and establishes a common vocabulary for data management concepts. This book is a must-read for data management and IT professionals, executives, knowledge workers, educators, and researchers who want to manage their data and mature their information infrastructure.

Bug Bounty Bootcamp is a comprehensive guide for beginners looking to learn web hacking, find bugs, and stay competitive in the booming industry of bug bounties. The book covers everything from choosing a program, writing quality bug reports, and maintaining professional relationships, to exploring common web vulnerabilities, chaining multiple bugs, and advanced techniques like hacking mobile apps and automating the hacking process. This book is an excellent resource for anyone looking to start a career in bug bounty hunting or improve their web hacking skills.

The "Data Pipelines Pocket Reference" is a must-read for data professionals who want to learn about the foundations of data pipelines and how they work in modern data stacks. The book covers common considerations and decision points, such as batch versus streaming data ingestion and build versus buy. It also discusses the tools and products used by data engineers to build pipelines and how they support analytics and reporting needs. The author, James, draws on his extensive experience leading data teams and building data infrastructure to provide readers with valuable insights. Overall, this book is an excellent resource that covers foundational concepts and applies to open source frameworks, commercial products, and homegrown solutions.

Observability Engineering: Achieving Production Excellence is a practical guide to building and understanding complex modern systems. Authors Charity Majors, Liz Fong-Jones, and George Miranda explain the value of observable systems and show you how to practice observability-driven development. You'll learn how to instrument your code for debugging and maintenance, how to produce quality code for context-aware system maintenance, and how data-rich analytics can help you debug elusive issues. This book is a must-read for anyone looking to improve their software development skills.

Search Engine Optimization All-in-One For Dummies is a comprehensive resource for webmasters, bloggers, and e-commerce professionals who want to improve their online visibility. The book provides practical and easy-to-follow advice on optimizing your website for search engines like Google and Bing. It covers topics such as keyword strategy, competitive positioning, SEO web design, creating content, linking, and optimizing the foundations. The book is a must-have guide to increasing the quantity and quality of your web traffic. Overall, it is a great resource for anyone who wants to improve their website's search engine ranking.

Immersive Analytics (Lecture Notes in Computer Science, 11190) is a comprehensive guide to the new research initiative that aims to remove barriers between people, their data and the tools they use for analysis and decision making. The book clarifies the aims of immersive analytics research, its opportunities and historical context, and provides a broad research agenda for the field. The author also reviews how the term immersion has been used to refer to both technological and psychological immersion, both of which are central to immersive analytics research. Overall, this book is a must-read for anyone interested in the field of computer networks and immersive analytics.

This book, "Data Quality Fundamentals: A Practitioner's Guide to Building Trustworthy Data Pipelines," is a must-read for anyone struggling with data quality issues. Authored by Barr Moses, Lior Gavish, and Molly Vorwerck from Monte Carlo, this book provides a comprehensive guide to tackling data quality and trust at scale. The authors explain how to build more reliable data pipelines, set and maintain data SLAs, develop and lead data quality initiatives, and automate data lineage graphs across your data ecosystem. The book is an excellent resource for data engineering teams looking to prevent data downtime and build more trustworthy data pipelines.

Google Drive & Docs In 30 Minutes is a comprehensive guide to using Google's free online productivity suite. The book covers everything from writing reports with Google Docs to creating online surveys using Google Sheets and Google Forms. The third edition includes updated desktop interfaces for Docs, Sheets, Slides, Forms, Sites, and Drawings, making it a great reference manual for both new and experienced users. The author's friendly tone and step-by-step instructions make it easy to follow, with nearly 50 screenshots to guide you. Overall, it's an excellent resource for anyone looking to master Google's productivity tools.

Information Architecture: For the Web and Beyond is a must-read for UX designers, product managers, developers, and anyone involved in digital design. The book provides essential concepts, methods, and techniques for creating effective digital products and services. It covers IA components such as organization, labeling, navigation, search, and metadata, and takes readers through processes and methods from research to strategy, design, and IA implementation. The authors, Lou Rosenfeld and Peter Morville, are both experts in the field of information architecture and provide valuable insights. Overall, this book is an excellent resource for anyone looking to improve their digital design skills.