| Description |
1 online resource |
| Note |
Includes index. |
| Summary |
Data lakes and warehouses have become increasingly fragile, costly, and difficult to maintain as data gets bigger and moves faster. Data meshes can help your organization decentralize data, giving ownership back to the engineers who produced it. This book provides a concise yet comprehensive overview of data mesh patterns for streaming and real-time data services. Authors Hubert Dulay and Stephen Mooney examine the vast differences between streaming and batch data meshes. Data engineers, architects, data product owners, and those in DevOps and MLOps roles will learn steps for implementing a streaming data mesh, from defining a data domain to building a good data product. Through the course of the book, you'll create a complete self-service data platform and devise a data governance system that enables your mesh to work seamlessly. With this book, you will: Design a streaming data mesh using Kafka Learn how to identify a domain Build your first data product using self-service tools Apply data governance to the data products you create Learn the differences between synchronous and asynchronous data services Implement self-services that support decentralized data. |
| Subject |
Big data.
|
|
Database management.
|
|
Business enterprises -- Data processing.
|
|
Information technology -- Management.
|
|
Données volumineuses. |
|
Bases de données -- Gestion. |
|
Entreprises -- Informatique. |
|
Technologie de l'information -- Gestion. |
|
Big data |
|
Business enterprises -- Data processing |
|
Database management |
|
Information technology -- Management |
| Added Author |
Mooney, Stephen, author.
|
| Other Form: |
Print version: 1098130723 9781098130725 (OCoLC)1353980562 |
| ISBN |
9781098130695 electronic book |
|
1098130693 electronic book |
|
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