Operating Modern Data Systems
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Operating Modern Data Systems
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Author : Jonah Prescott
language : en
Publisher: Richa Publishing Minds
Release Date :
Operating Modern Data Systems written by Jonah Prescott and has been published by Richa Publishing Minds this book supported file pdf, txt, epub, kindle and other format this book has been release on with Computers categories.
Modern data systems rarely fail because of broken code. They fail because architectural intent erodes under time, pressure, and continuous change. Operating Modern Data Systems is a deep, architecture-first examination of what happens after systems leave the whiteboard and enter production. It reframes operations as an architectural discipline—where guarantees are defended or lost, authority is exercised under stress, and reliability is proven over years rather than releases. This book is not about tools, dashboards, or incident checklists. It focuses instead on the structural forces that shape real production systems: failure as a normal condition, time and ordering ambiguity, load and pressure propagation, migration risk, cost as a signal, security as operational trust, and the human and organizational realities embedded in every system. Written for experienced practitioners, the book develops architectural judgment rather than prescribing solutions. It examines how systems drift, how meaning degrades silently, and how design decisions are continuously rewritten through operational action. What This Book Covers Why correct designs still fail after deployment How operational shortcuts quietly become architectural commitments Reliability as preserved meaning—not just uptime Failure as a continuous condition, not an exceptional event Time, ordering, and partial truth in distributed systems Recovery, migration, and change as extended failure modes Load, pressure, backpressure, and containment Observability as the ability to explain behavior Cost, security, and governance as architectural signals Human judgment and organizational structure as part of the system How systems age—and what allows architecture to hold over time What Makes This Book Different Operations treated as architecture Production behavior, failure, and recovery are examined as structural concerns, not operational afterthoughts. Decision- and consequence-focused The book emphasizes how choices accumulate, constrain future change, and shape long-term reliability. Tool-agnostic and durable Concepts are designed to remain relevant as platforms, frameworks, and AI systems evolve. Reliability redefined Availability alone is not success. Reliability is the preservation of meaning, guarantees, and trust under stress. Written for the AI era without hype The book situates modern data and AI-driven systems within the same architectural forces, showing where automation amplifies risk and responsibility. Who This Book Is For This book is written for: Software engineers operating backend and platform systems Data engineers responsible for production pipelines and storage Senior, staff, and principal engineers shaping system architecture Architects and technical leaders accountable for long-term reliability Practitioners working with distributed data systems and AI platforms It assumes familiarity with production systems and distributed environments. Who This Book Is Not For Beginners seeking introductions or tutorials Readers looking for step-by-step guides or tool-specific instructions Those expecting quick fixes, patterns, or checklists Order now to develop architectural judgment for systems that must endure pressure, change, and time.
Designing Modern Data Systems
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Author : Jonah Prescott
language : en
Publisher: Richa Publishing Minds
Release Date :
Designing Modern Data Systems written by Jonah Prescott and has been published by Richa Publishing Minds this book supported file pdf, txt, epub, kindle and other format this book has been release on with Computers categories.
Designing Modern Data Systems Decision-Focused Software Architecture for Data Engineering, System Design, and Large Language Model Platforms By Jonah Prescott Data systems outlive applications, frameworks, and infrastructure. They encode decisions that shape what a system can become—and what it can never safely change. Designing Modern Data Systems is a deep, decision-driven guide to building data systems that are reliable, scalable, and adaptable over time. Rather than focusing on tools or trends, this book teaches how to reason about architecture itself: how guarantees are chosen, where authority lives, how failures manifest, and how systems evolve under real-world pressure. Written for experienced engineers and architects, the book treats data systems as long-lived sociotechnical systems—not just databases or pipelines. It focuses on clarity of responsibility, explicit trade-offs, and preserving meaning as data moves, changes, and ages. What This Book Covers This book takes a structured journey through modern data system design: How to define data systems as distinct from applications and infrastructure How non-functional requirements like reliability, availability, latency, and cost shape architecture long before technology choices How to design data models, storage engines, and indexing strategies that survive product evolution How to reason about replication, partitioning, coordination, and distributed transactions without accidental complexity How batch and stream processing fit into a unified view of data over time How logs, history, and derived data enable recovery, reprocessing, and safe change How to operate systems in production with observability, backpressure, and failure isolation How to design data systems that support machine learning and large language model platforms, including feature pipelines and embeddings How to migrate, evolve, and decommission systems without outages or loss of trust Throughout the book, ideas are grounded in a single evolving reference system, allowing readers to see how architectural decisions accumulate and interact as requirements change. What Makes This Book Different Decision-focused, not tool-driven The book avoids product comparisons and instead teaches how to evaluate any technology within clear architectural constraints. Explicit trade-offs, not recipes Every design choice is examined in terms of what it enables, what it forbids, and what it costs. Modern, without being trendy AI and LLM systems are addressed where they introduce real architectural pressure—without hype or speculation. Written for longevity The principles in this book are designed to remain relevant as tools, platforms, and organizational structures change. Who This Book Is For This book is written for: Software engineers designing backend and platform systems Data engineers responsible for storage, processing, and pipelines Staff, principal, and senior engineers shaping architectural direction Architects and technical leaders responsible for long-term system evolution Practitioners preparing for system design interviews who want judgment, not templates It assumes familiarity with software systems and databases, but does not require expertise in any specific language, framework, or vendor. What This Book Is Not This is not: A beginner’s introduction to databases A step-by-step tutorial for specific tools A catalog of technologies or patterns Instead, it is a book about how to think clearly about data systems, and how to design them so they remain understandable, trustworthy, and changeable over time. If you are responsible for making architectural decisions—and living with their consequences—Designing Modern Data Systems is written for you.
Designing Big Data Platforms
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Author : Yusuf Aytas
language : en
Publisher: John Wiley & Sons
Release Date : 2021-07-08
Designing Big Data Platforms written by Yusuf Aytas and has been published by John Wiley & Sons this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-07-08 with Mathematics categories.
DESIGNING BIG DATA PLATFORMS Provides expert guidance and valuable insights on getting the most out of Big Data systems An array of tools are currently available for managing and processing data—some are ready-to-go solutions that can be immediately deployed, while others require complex and time-intensive setups. With such a vast range of options, choosing the right tool to build a solution can be complicated, as can determining which tools work well with each other. Designing Big Data Platforms provides clear and authoritative guidance on the critical decisions necessary for successfully deploying, operating, and maintaining Big Data systems. This highly practical guide helps readers understand how to process large amounts of data with well-known Linux tools and database solutions, use effective techniques to collect and manage data from multiple sources, transform data into meaningful business insights, and much more. Author Yusuf Aytas, a software engineer with a vast amount of big data experience, discusses the design of the ideal Big Data platform: one that meets the needs of data analysts, data engineers, data scientists, software engineers, and a spectrum of other stakeholders across an organization. Detailed yet accessible chapters cover key topics such as stream data processing, data analytics, data science, data discovery, and data security. This real-world manual for Big Data technologies: Provides up-to-date coverage of the tools currently used in Big Data processing and management Offers step-by-step guidance on building a data pipeline, from basic scripting to distributed systems Highlights and explains how data is processed at scale Includes an introduction to the foundation of a modern data platform Designing Big Data Platforms: How to Use, Deploy, and Maintain Big Data Systems is a must-have for all professionals working with Big Data, as well researchers and students in computer science and related fields.
Modern Data
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Author :
language : en
Publisher:
Release Date : 1973
Modern Data written by and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 1973 with Computers categories.
Data Systems
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Author :
language : en
Publisher:
Release Date : 1972
Data Systems written by and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 1972 with Electronic data processing categories.
Government Data Systems
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Author :
language : en
Publisher:
Release Date : 1983
Government Data Systems written by and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 1983 with Public administration categories.
Data Systems Engineering
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Author :
language : en
Publisher:
Release Date : 1963
Data Systems Engineering written by and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 1963 with Automatic control categories.
Data Processing Digest
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Author :
language : en
Publisher:
Release Date : 1964
Data Processing Digest written by and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 1964 with Business categories.
Proceedings Of The North American Conference On Modernization Of Land Data Systems A Multi Purpose Approach Washington D C April 14 17 1975
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Author : North American Institute for Modernization of Land Data Systems
language : en
Publisher:
Release Date : 1975
Proceedings Of The North American Conference On Modernization Of Land Data Systems A Multi Purpose Approach Washington D C April 14 17 1975 written by North American Institute for Modernization of Land Data Systems and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 1975 with Cadastres categories.
The American Cartographer
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Author :
language : en
Publisher:
Release Date : 1988
The American Cartographer written by and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 1988 with Cartography categories.