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Streaming Data Mesh
A Model for Optimizing Real-Time Data Services
Taschenbuch von Hubert Dulay (u. a.)
Sprache: Englisch

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Beschreibung

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

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
Über den Autor
Hubert Dulay is a systems & data engineer at Confluent. A veteran engineer with over 20 years of experience in big & fast data and MLOps, Hubert has consulted for many financial institutions, healthcare organizations, and telecommunications companies, providing simple solutions that solved many data problems.
Details
Erscheinungsjahr: 2023
Fachbereich: Datenkommunikation, Netze & Mailboxen
Genre: Informatik
Rubrik: Naturwissenschaften & Technik
Medium: Taschenbuch
Seiten: 210
Inhalt: Kartoniert / Broschiert
ISBN-13: 9781098130725
ISBN-10: 1098130723
Sprache: Englisch
Einband: Kartoniert / Broschiert
Autor: Dulay, Hubert
Mooney, Stephen
Hersteller: O'Reilly Media
Maße: 230 x 174 x 12 mm
Von/Mit: Hubert Dulay (u. a.)
Erscheinungsdatum: 30.06.2023
Gewicht: 0,408 kg
preigu-id: 126049123
Über den Autor
Hubert Dulay is a systems & data engineer at Confluent. A veteran engineer with over 20 years of experience in big & fast data and MLOps, Hubert has consulted for many financial institutions, healthcare organizations, and telecommunications companies, providing simple solutions that solved many data problems.
Details
Erscheinungsjahr: 2023
Fachbereich: Datenkommunikation, Netze & Mailboxen
Genre: Informatik
Rubrik: Naturwissenschaften & Technik
Medium: Taschenbuch
Seiten: 210
Inhalt: Kartoniert / Broschiert
ISBN-13: 9781098130725
ISBN-10: 1098130723
Sprache: Englisch
Einband: Kartoniert / Broschiert
Autor: Dulay, Hubert
Mooney, Stephen
Hersteller: O'Reilly Media
Maße: 230 x 174 x 12 mm
Von/Mit: Hubert Dulay (u. a.)
Erscheinungsdatum: 30.06.2023
Gewicht: 0,408 kg
preigu-id: 126049123
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