Data Mesh: Delivering Data-Driven Value at Scale

Dehghani, Zhamak

ISBN 10: 1492092398 / ISBN 13: 9781492092391

Verlag: O'Reilly Media, 2022

Beschreibung

Brand New! Not Overstocks or Low Quality Book Club Editions! Direct From the Publisher! We're not a giant, faceless warehouse organization! We're a small town bookstore that loves books and loves it's customers! Buy from Lakeside Books!

Bestandsnummer des Verkäufers OTF-S-9781492092391

Bibliografische Details

• Titel: Data Mesh: Delivering Data-Driven Value at Scale
• Verlag: O'Reilly Media
• Erscheinungsjahr: 2022
• Sprache: Englisch
• ISBN-10: 1492092398
• ISBN-13: 9781492092391
• Einband: Softcover
• Zustand: New
• Verkäuferkataloge:
  • 0
  • VCF

Über diesen Titel

Inhaltsangabe

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

Über die Autorin bzw. den Autor

Zhamak Dehghani is a director of technology at ThoughtWorks, focusing on distributed systems architecture --- big data and operational systems -- in the enterprise. She's a member of the company's Technology Advisory Board and contributes to the creation of ThoughtWorks's Technology Radar. She is an advocate for decentralization of all things - architecture, data and ultimately power. She is the founder of data mesh.