Zhamak Dehghani – författare

There are no easy decisions in software architecture. Instead, there are many hard parts--difficult problems or issues with no best practices--that force you to choose among various compromises. With this book, you'll learn how to think critically about the trade-offs involved with distributed architectures.Architecture veterans and practicing consultants Neal Ford, Mark Richards, Pramod Sadalage, and Zhamak Dehghani discuss strategies for choosing an appropriate architecture. By interweaving a story about a fictional group of technology professionals--the Sysops Squad--they examine everything from how to determine service granularity, manage workflows and orchestration, manage and decouple contracts, and manage distributed transactions to how to optimize operational characteristics, such as scalability, elasticity, and performance.By focusing on commonly asked questions, this book provides techniques to help you discover and weigh the trade-offs as you confront the issues you face as an architect.Analyze trade-offs and effectively document your decisionsMake better decisions regarding service granularityUnderstand the complexities of breaking apart monolithic applicationsManage and decouple contracts between servicesHandle data in a highly distributed architectureLearn patterns to manage workflow and transactions when breaking apart applications

There are no easy decisions in software architecture. Instead, there are many hard parts--difficult problems or issues with no best practices--that force you to choose among various compromises. With this book, you''ll learn how to think critically about the trade-offs involved with distributed architectures.

Architecture veterans and practicing consultants Neal Ford, Mark Richards, Pramod Sadalage, and Zhamak Dehghani discuss strategies for choosing an appropriate architecture. By interweaving a story about a fictional group of technology professionals--the Sysops Squad--they examine everything from how to determine service granularity, manage workflows and orchestration, manage and decouple contracts, and manage distributed transactions to how to optimize operational characteristics, such as scalability, elasticity, and performance.

By focusing on commonly asked questions, this book provides techniques to help you discover and weigh the trade-offs as you confront the issues you face as an architect.

Analyze trade-offs and effectively document your decisionsMake better decisions regarding service granularityUnderstand the complexities of breaking apart monolithic applicationsManage and decouple contracts between servicesHandle data in a highly distributed architectureLearn patterns to manage workflow and transactions when breaking apart applications

There are no easy decisions in software architecture. Instead, there are many hard parts--difficult problems or issues with no best practices--that force you to choose among various compromises. With this book, you''ll learn how to think critically about the trade-offs involved with distributed architectures.

Architecture veterans and practicing consultants Neal Ford, Mark Richards, Pramod Sadalage, and Zhamak Dehghani discuss strategies for choosing an appropriate architecture. By interweaving a story about a fictional group of technology professionals--the Sysops Squad--they examine everything from how to determine service granularity, manage workflows and orchestration, manage and decouple contracts, and manage distributed transactions to how to optimize operational characteristics, such as scalability, elasticity, and performance.

By focusing on commonly asked questions, this book provides techniques to help you discover and weigh the trade-offs as you confront the issues you face as an architect.

Analyze trade-offs and effectively document your decisionsMake better decisions regarding service granularityUnderstand the complexities of breaking apart monolithic applicationsManage and decouple contracts between servicesHandle data in a highly distributed architectureLearn patterns to manage workflow and transactions when breaking apart applications

We''re at an inflection point in data, where our data management solutions no longer match the complexity of organizations, the proliferation of data sources, and the scope of our aspirations to get value from data with AI and analytics. In this practical book, author Zhamak Dehghani introduces data mesh, a decentralized sociotechnical paradigm drawn from modern distributed architecture that provides a new approach to sourcing, sharing, accessing, and managing analytical data at scale.

Dehghani guides practitioners, architects, technical leaders, and decision makers on their journey from traditional big data architecture to a distributed and multidimensional approach to analytical data management. Data mesh treats data as a product, considers domains as a primary concern, applies platform thinking to create self-serve data infrastructure, and introduces a federated computational model of data governance.

Get a complete introduction to data mesh principles and its constituentsDesign a data mesh architectureGuide a data mesh strategy and executionNavigate organizational design to a decentralized data ownership modelMove beyond traditional data warehouses and lakes to a distributed data mesh

We''re at an inflection point in data, where our data management solutions no longer match the complexity of organizations, the proliferation of data sources, and the scope of our aspirations to get value from data with AI and analytics. In this practical book, author Zhamak Dehghani introduces data mesh, a decentralized sociotechnical paradigm drawn from modern distributed architecture that provides a new approach to sourcing, sharing, accessing, and managing analytical data at scale.

Dehghani guides practitioners, architects, technical leaders, and decision makers on their journey from traditional big data architecture to a distributed and multidimensional approach to analytical data management. Data mesh treats data as a product, considers domains as a primary concern, applies platform thinking to create self-serve data infrastructure, and introduces a federated computational model of data governance.

Get a complete introduction to data mesh principles and its constituentsDesign a data mesh architectureGuide a data mesh strategy and executionNavigate organizational design to a decentralized data ownership modelMove beyond traditional data warehouses and lakes to a distributed data mesh

We're at an inflection point in data, where our data management solutions no longer match the complexity of organizations, the proliferation of data sources, and the scope of our aspirations to get value from data with AI and analytics. In this practical book, author Zhamak Dehghani introduces data mesh, a decentralized sociotechnical paradigm drawn from modern distributed architecture that provides a new approach to sourcing, sharing, accessing, and managing analytical data at scale.Dehghani guides practitioners, architects, technical leaders, and decision makers on their journey from traditional big data architecture to a distributed and multidimensional approach to analytical data management. Data mesh treats data as a product, considers domains as a primary concern, applies platform thinking to create self-serve data infrastructure, and introduces a federated computational model of data governance.Get a complete introduction to data mesh principles and its constituentsDesign a data mesh architectureGuide a data mesh strategy and executionNavigate organizational design to a decentralized data ownership modelMove beyond traditional data warehouses and lakes to a distributed data mesh

En materia de datos, actualmente se atraviesa por un punto de inflexión, en el que las soluciones de gestión ya no se encuentran a la altura de la complejidad de las organizaciones, de la proliferación de las fuentes de datos y del alcance de las aspiraciones de obtener valor de estos con inteligencia artificial y analítica. En este libro práctico, la autora Zhamak Dehghani presenta Data Mesh, un paradigma sociotécnico descentralizado, basado en una arquitectura distribuida moderna que proporciona un nuevo enfoque para la obtención, el intercambio, el acceso y la gestión de datos analíticos.Dehghani guía a profesionales, arquitectos, líderes técnicos y responsables de la toma de decisiones en sus propósitos, desde la arquitectura tradicional de Big Data hasta un enfoque distribuido y multidimensional de la gestión de datos analíticos. En Data Mesh, se trata a estos como un producto, se consideran los dominios como una cuestión primordial, se utiliza el concepto de "plataforma" para crear una infraestructura de datos de autoservicio y se presenta un modelo informático federado de gestión de datos.Gracias a la lectura de este libro:oObtendrá una introducción completa a los principios de la malla de datos y sus componentesoPodrá diseñar una arquitectura de Data MeshoConseguirá guiar una estrategia de Data Mesh y su ejecuciónoNavegará por el diseño organizativo hacia un modelo descentralizado de datosoIrá más allá de los repositorios y lagos de datos tradicionales hacia una malla de datos distribuidaSin duda, en cuanto a datos se refiere, se hace presente un nuevo paradigma que será crucial para el desarrollo de los profesionales. Con este libro, podrá formar parte de él y disfrutará de los beneficios de Data Mesh desde su origen.Zhamak Dehghani es miembro de varios consejos asesores de tecnología, entre ellos el de Thoughtworks. Zhamak es una defensora de la descentralización de todas las cosas, incluida la arquitectura, los datos y, en última instancia, el poder. Es la fundadora de Data Mesh."Una visión exhaustiva y crucialmente necesaria de los datos como producto, que incluye los cambios culturales, de proceso, tecnológicos y de equipo necesarios para conseguirlo"-Manuel PaisCoautor de Team Topologies"El enfoque detallado de Zhamak en Data Mesh hace que este nuevo concepto sea claro y útil"-Gwen Shapira Cofundadora y CPO de Nile Platform; autora de Kafka: The Definitive Guide