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