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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
constituents Design a data mesh architecture Guide a data mesh
strategy and execution Navigate organizational design to a
decentralized data ownership model Move beyond traditional data
warehouses and lakes to a distributed data mesh
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
decisions Make better decisions regarding service granularity
Understand the complexities of breaking apart monolithic
applications Manage and decouple contracts between services Handle
data in a highly distributed architecture Learn patterns to manage
workflow and transactions when breaking apart applications
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