Harness Engineering for Data Agents on Databricks (Paperback)

Idioma: inglés

Editorial: Independently Published, 2026

9798172411250

Serie: Libro 21 de 21 - AI Agents & MCP Series

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Librería: CitiRetail, Stevenage, Reino UnidoCitiRetail

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Vendedor de IberLibro desde 29 de junio de 2022

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Paperback. Move Beyond Prompt Engineering. Welcome to Harness Engineering.An AI model can explain a failed pipeline, draft SQL, and suggest a data contract[cite: 1]. However, none of those acts establishes that it should be allowed to change production[cite: 1]. As the enterprise AI landscape shifts heavily toward AgentOps and secure multi-agent workflows, the biggest challenge is no longer making AI smarter-it is building the strict environment that controls it.Harness Engineering for Data Agents on Databricks is the definitive guide to designing the runtime and control environment in which model reasoning can safely become action[cite: 1]. Instructions shape behavior, but controls constrain behavior[cite: 1]. This book teaches you how to separate the model's probabilistic reasoning from the deterministic execution plane of your data platform[cite: 1].Through the lens of a real-world payment company case study[cite: 1], author Leandro Calado[cite: 1] provides a deep dive into building reliable agentic data platforms[cite: 1]. You will learn how to build a harness that owns tool discovery, identity, context selection, stopping conditions, and budgets[cite: 1].Inside this book, you will master: The Minimum Agency Principle: Learn to use the minimum amount of agency necessary to solve the problem[cite: 1].Multi-Agent Orchestration Patterns: Coordinate specialized roles like the Requirements Agent, Catalog Agent, and SQL Agent through typed, immutable handoffs[cite: 1].Building an MCP Gateway: Use the Model Context Protocol to expose versioned tools, authenticate callers, authorize each call, and enforce time and cost limits[cite: 1].Databricks Implementation: Leverage Unity Catalog as the governance and platform boundary[cite: 1]. Use Lakeflow Jobs for workflow automation and Delta Lake for transactional safety and atomic commits[cite: 1].The Production Autonomy Budget: Calculate operational blast radius and risk to dynamically route agent decisions to EXECUTE, PREPARE_FOR_APPROVAL, RECOMMEND_ONLY, or DENY[cite: 1].Data Contracts & Verification: Treat data contracts as versioned, machine-enforceable agreements[cite: 1]. Implement independent quality gates that evaluate program, data, and business correctness before promotion[cite: 1].Harness Engineering for Data Agents on Databricks shows you how to stop treating unconstrained conversation as operational authority[cite: 1]. If you are ready to build the autonomous data platform of the future without sacrificing governance and security[cite: 1], this book provides the architecture, code, and operational rigor to get you there. This item is printed on demand. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.…

N° de ref. del artículo 9798172411250

Título
Harness Engineering for Data Agents on Databricks (Paperback)
Autor
Leandro Calado
Editorial
Independently Published
Año de publicación
2026
Estado
new
Encuadernación
Paperback
Idioma
inglés
ISBN 13
9798172411250
Serie
Libro 21 de 21: AI Agents & MCP Series

CitiRetail

Stevenage, Reino Unido

Vendedor de 5 estrellas

Vendedor de IberLibro desde 29 de junio de 2022

Tarifas de envío de Reino Unido a Estados Unidos de America

ArtículoDe 7 a 14 días hábilesDe 7 a 60 días hábiles
Primer artículoEUR 44,20EUR 44,20
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