Opening book details…
Can I read Streaming Data Mesh on EtoBox?
Streaming Data Mesh by Hubert Dulay & Stephen Mooney is a nonfiction available to read on EtoBox.
What is Streaming Data Mesh about?
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 willDesign a streaming data mesh using KafkaLearn how to identify a domainBuild your first data product using self-service toolsApply data governance to the data products you createLearn the differences between synchronous and asynchronous data servicesImplement self-services that support decentralized data
Who reads Streaming Data Mesh?
It is typically read by self-directed learners exploring a subject in depth.
Common subject areas: history, science, philosophy, social sciences.
- Author
- Hubert Dulay & Stephen Mooney
- Publisher
- O'Reilly Media, Incorporated
- Published
- 2022
- Language
- EN
- ISBN
- 9781098130718
- Category
- nonfiction
- Subjects
- Computer Science, Databases, Stem
More by Hubert Dulay & Stephen Mooney
Browse all works by Hubert Dulay & Stephen Mooney
Similar books
- Data Mesh in Action — Jacek Majchrzak, Sven Balnojan; Marian Siwiak; Mariusz Sieraczkiewicz (2023)
- Data Mesh: Delivering Data Value in Scale — Zhamak Dehghani (2022)
- Data Mesh in Practice — Max Schultze & Arif Wider (2021)
- Implementing Data Mesh: Design, Build, and Implement Data Contracts, Data Products, and Data Mesh — Jean Georges Perrin, Eric Broda (2024)
- Engineering Data Mesh in Azure Cloud: Implement data mesh using Microsoft Azure's Cloud Adoption Framework — Aniruddha Deswandikar (2024)
- Deciphering Data Architectures: Choosing Between a Modern Data Warehouse, Data Fabric, Data Lakehouse, and Data Mesh — James Serra (2024)