Daniel r holt (19 resultados)

Hardcover. Very good condition in slightly sun-faded dust jacket. ]. 289p.

Hardcover. Condición: Very Good. Dust Jacket Included. Very good minus, boards slightly warped and faded at edges. Cloth Lightly edgeworn jacket.

Soft cover. Condición: Near Fine. No Jacket.

Soft Cover. Condición: Very Good. March 1995, Volume 103, No. 3. 112 + 32 pp. March 1995, Vol. 103, Number issue 3 only! Over-sized and/or over weight book; may require extra postage. Please note that large and/or heavy items may incur an additional shipping charge. A great, almost spotlessly clean copy! Solidly and tightly bound, essentially and nearly flawless copy with minimal internal and external wear and use. Copy with crisp pages, clean text, and light shelf wear. Smooth covers.…

Soft Cover. Condición: Very Good. September 1994, Volume 102, No. 10. 104 pp. September 1994, Vol. 102, Number 10 issue only! Over-sized and/or over weight book; may require extra postage. Please note that large and/or heavy items may incur an additional shipping charge. A great, almost spotlessly clean copy! Solidly and tightly bound, essentially and nearly flawless copy with minimal internal and external wear and use. Copy with crisp pages, clean text, and light shelf wear. Smooth covers.…

Condición: New.

Paperback. Condición: new. Paperback. The modern world runs on data - this is the book that shows you how to design the systems behind it.In today's digital age, data isn't just fuel - it's the engine that powers everything from financial transactions and personalized recommendations to artificial intelligence and global-scale analytics. Yet, while technology evolves at a breathtaking pace, the fundamental challenge remains the same: how do we design systems that are reliable, scalable, and intelligent enough to keep up?Modern Data Systems: Designing Reliable, Scalable, and Intelligent Applications by Daniel R. Holt is the essential guide for engineers, architects, and technology leaders who want to understand not just how systems work - but why they work that way.This comprehensive book takes you deep inside the architectural foundations that power modern data-driven organizations - the same design principles that companies like Netflix, Uber, LinkedIn, and Shopify rely on every day.Through clear explanations, professionally illustrated diagrams, and real-world examples, Holt breaks down the complex machinery of modern computing into concepts that are logical, timeless, and actionable.What You'll LearnHow to think like a data architect - designing for flow, not for features.The core principles of scalability: partitioning, caching, replication, and elasticity.The truth about consistency - from strong and eventual models to the CAP theorem and real-world trade-offs.The patterns of reliability - fault tolerance, failover, retries, and circuit breakers that make systems resilient.The inner workings of databases: B-trees, LSM trees, transaction isolation, and indexing.How to design streaming and event-driven pipelines that move data at real-time speed.Building observability and resilience into distributed systems with metrics, tracing, and feedback loops.The architecture behind AI and machine learning systems - from data pipelines to MLOps and model deployment.Practical design strategies for future-proofing your architecture through schema evolution and versioning.Each chapter combines deep technical insight with conceptual diagrams and visual frameworks that transform complexity into clarity. Whether you're mapping out your first distributed service or leading an enterprise-scale data platform, this book provides the mental models and design vocabulary that make great architects stand apart.Why This Book Stands OutUnlike most books that focus on a single technology or framework, Modern Data Systems is tool-agnostic - it teaches you how to reason about any system, on any platform, with confidence.You'll learn timeless principles, not passing trends.You'll see how theory meets practice in real-world production systems.And you'll gain the ability to evaluate trade-offs, communicate design choices, and build systems that stand the test of scale, time, and change.Every concept is supported by clean, professional diagrams that help you see the architecture behind the words - from consensus protocols and log-based storage to distributed messaging flows and cloud-native data pipelines.If you're a software engineer, architect, data engineer, or technical manager, this book will give you a foundation that lasts a lifetime - one built on clarity, structure, and understanding.Because in the end, the systems that change the world aren't the ones with the most code -they're the ones with the most clarity. </p Shipping may be from multiple locations in the US or from the UK, depending on stock availability.…

Condición: As New. Unread book in perfect condition.

PAP. Condición: New. New Book. Shipped from UK. Established seller since 2000.

Condición: New.

Condición: As New. Unread book in perfect condition.

Condición: very good, very good. First? Edition. First? Printing. 24 cm, 289, illus., maps, sticker residue on DJ. Holt was with the 121st New York Volunteers, and this unit was in most of the major campaigns in the eastern theater.

Paperback. Condición: Brand New. 289 pages. 9.25x6.00x1.00 inches. In Stock.

Paperback. Condición: new. Paperback. The modern world runs on data - this is the book that shows you how to design the systems behind it.In today's digital age, data isn't just fuel - it's the engine that powers everything from financial transactions and personalized recommendations to artificial intelligence and global-scale analytics. Yet, while technology evolves at a breathtaking pace, the fundamental challenge remains the same: how do we design systems that are reliable, scalable, and intelligent enough to keep up?Modern Data Systems: Designing Reliable, Scalable, and Intelligent Applications by Daniel R. Holt is the essential guide for engineers, architects, and technology leaders who want to understand not just how systems work - but why they work that way.This comprehensive book takes you deep inside the architectural foundations that power modern data-driven organizations - the same design principles that companies like Netflix, Uber, LinkedIn, and Shopify rely on every day.Through clear explanations, professionally illustrated diagrams, and real-world examples, Holt breaks down the complex machinery of modern computing into concepts that are logical, timeless, and actionable.What You'll LearnHow to think like a data architect - designing for flow, not for features.The core principles of scalability: partitioning, caching, replication, and elasticity.The truth about consistency - from strong and eventual models to the CAP theorem and real-world trade-offs.The patterns of reliability - fault tolerance, failover, retries, and circuit breakers that make systems resilient.The inner workings of databases: B-trees, LSM trees, transaction isolation, and indexing.How to design streaming and event-driven pipelines that move data at real-time speed.Building observability and resilience into distributed systems with metrics, tracing, and feedback loops.The architecture behind AI and machine learning systems - from data pipelines to MLOps and model deployment.Practical design strategies for future-proofing your architecture through schema evolution and versioning.Each chapter combines deep technical insight with conceptual diagrams and visual frameworks that transform complexity into clarity. Whether you're mapping out your first distributed service or leading an enterprise-scale data platform, this book provides the mental models and design vocabulary that make great architects stand apart.Why This Book Stands OutUnlike most books that focus on a single technology or framework, Modern Data Systems is tool-agnostic - it teaches you how to reason about any system, on any platform, with confidence.You'll learn timeless principles, not passing trends.You'll see how theory meets practice in real-world production systems.And you'll gain the ability to evaluate trade-offs, communicate design choices, and build systems that stand the test of scale, time, and change.Every concept is supported by clean, professional diagrams that help you see the architecture behind the words - from consensus protocols and log-based storage to distributed messaging flows and cloud-native data pipelines.If you're a software engineer, architect, data engineer, or technical manager, this book will give you a foundation that lasts a lifetime - one built on clarity, structure, and understanding.Because in the end, the systems that change the world aren't the ones with the most code -they're the ones with the most cla Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.…

Hardcover. Condición: New.

Condición: New. Print on Demand.

Condición: New. Print on Demand.

Paperback. Condición: new. Paperback. Modern SQL Systems ArchitectureEngineering, Scaling, and Governing Relational Data in Distributed and AI-Driven SystemsBy Daniel R. HoltRelational databases remain the structural backbone of modern software systems. Yet at scale, SQL is no longer just a query language - it is infrastructure.Modern SQL Systems Architecture is a definitive, architect-grade guide to designing, operating, and governing relational systems in distributed and AI-driven environments. Written for senior engineers, architects, and technical leaders, this book moves beyond syntax and tutorials to examine the mechanics that determine performance, correctness, resilience, and cost.From concurrency control and replication realities to partitioning strategy, index architecture, cloud warehouse economics, and AI-generated workload governance, this book connects internal engine behavior to real-world operational consequences. Every chapter focuses on structural trade-offs, failure modeling, and long-term architectural sustainability.What You Will ExploreCost-based optimization mechanics and plan instability under real workloadsMVCC, write-ahead logging, and the operational meaning of isolationPartitioning and sharding strategies that survive growthIndex design as a write-amplification decisionSchema evolution without downtimeCloud-native execution and consumption-based cost governanceSQL in machine learning pipelines and AI-generated workloadsGuardrails that prevent autonomous query cost explosionsBuild vs. buy decisions, vendor lock-in realities, and SLA trade-offsFailure case studies that expose hidden systemic riskWho This Book Is ForThis book is written for senior software engineers, database engineers, data platform architects, site reliability engineers, and CTO-level leaders responsible for production systems. It assumes familiarity with SQL fundamentals and focuses on systems mechanics, distributed behavior, and long-term architectural trade-offs.If you are responsible for platform stability, replication reliability, performance engineering, cost governance, or data infrastructure strategy, this book is designed for you.What This Book Is NotThis is not a beginner's guide to SQL. It does not teach basic syntax, introductory queries, or step-by-step tutorials. It is not a vendor-specific manual, certification prep guide, or collection of isolated tuning tricks.Instead, it is a long-form systems reference built to strengthen architectural judgment and operational clarity in real production environments.Relational engines endure because they encode discipline. This book helps you operate them with the same discipline. This item is printed on demand. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.…

Paperback. Condición: new. Paperback. Modern SQL Systems ArchitectureEngineering, Scaling, and Governing Relational Data in Distributed and AI-Driven SystemsBy Daniel R. HoltRelational databases remain the structural backbone of modern software systems. Yet at scale, SQL is no longer just a query language - it is infrastructure.Modern SQL Systems Architecture is a definitive, architect-grade guide to designing, operating, and governing relational systems in distributed and AI-driven environments. Written for senior engineers, architects, and technical leaders, this book moves beyond syntax and tutorials to examine the mechanics that determine performance, correctness, resilience, and cost.From concurrency control and replication realities to partitioning strategy, index architecture, cloud warehouse economics, and AI-generated workload governance, this book connects internal engine behavior to real-world operational consequences. Every chapter focuses on structural trade-offs, failure modeling, and long-term architectural sustainability.What You Will ExploreCost-based optimization mechanics and plan instability under real workloadsMVCC, write-ahead logging, and the operational meaning of isolationPartitioning and sharding strategies that survive growthIndex design as a write-amplification decisionSchema evolution without downtimeCloud-native execution and consumption-based cost governanceSQL in machine learning pipelines and AI-generated workloadsGuardrails that prevent autonomous query cost explosionsBuild vs. buy decisions, vendor lock-in realities, and SLA trade-offsFailure case studies that expose hidden systemic riskWho This Book Is ForThis book is written for senior software engineers, database engineers, data platform architects, site reliability engineers, and CTO-level leaders responsible for production systems. It assumes familiarity with SQL fundamentals and focuses on systems mechanics, distributed behavior, and long-term architectural trade-offs.If you are responsible for platform stability, replication reliability, performance engineering, cost governance, or data infrastructure strategy, this book is designed for you.What This Book Is NotThis is not a beginner's guide to SQL. It does not teach basic syntax, introductory queries, or step-by-step tutorials. It is not a vendor-specific manual, certification prep guide, or collection of isolated tuning tricks.Instead, it is a long-form systems reference built to strengthen architectural judgment and operational clarity in real production environments.Relational engines endure because they encode discipline. This book helps you operate them with the same discipline. This item is printed on demand. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.…