OEM Streaming Data Mesh: A Model for Optimizing Real-Time Data Services

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Discover the powerful concepts of data mesh with 'Streaming Data Mesh: A Model for Optimizing Real-Time Data Services.' This insightful book addresses the challenges of traditional data lakes and warehouses, offering valuable strategies for decentralizing data ownership. Authors Hubert Dulay and Stephen Mooney delve into the differences between streaming and batch data mesh architectures, providing actionable steps for implementation. Whether you're a data engineer, architect, or a product owner, this resource is designed to guide you in creating a robust streaming data platform. Elevate your understanding of real-time data services and governance while fostering innovation within your organization.

In an era where data lakes and warehouses are becoming increasingly fragile and difficult to manage, organizations must explore innovative solutions like data mesh. 'Streaming Data Mesh: A Model for Optimizing Real-Time Data Services' offers a comprehensive overview of data mesh patterns specifically tailored for streaming and real-time data services. Within its pages, Dulay and Mooney present a clear distinction between streaming and batch data mesh approaches, ensuring that readers grasp the core concepts and their applications. This essential resource is ideal for data engineers, architects, product owners, and professionals involved in DevOps and MLOps. The authors outline a step-by-step guide to implementing a streaming data mesh, covering everything from defining a data domain to developing high-quality data products. You'll learn to harness tools like Kafka for designing your data mesh and discover how to build self-service capabilities that empower your team. By creating a reliable data governance framework, you'll ensure that your data mesh operates efficiently and effectively, driving real-time decision-making and insights in your organization.

Usage ideas This book serves as a valuable learning tool for data professionals aiming to implement a data mesh strategy. Use it as a reference when developing new data services to streamline operations and enhance data accessibility across teams. The insights can also aid in organizational training sessions focused on best practices in data governance and real-time data processing. Furthermore, its guidance on utilizing Kafka can be instrumental for engineering teams looking to build robust data pipelines.

Frequently asked questions
What is the main focus of this book?: The book primarily focuses on optimizing real-time data services through the concept of data mesh, providing strategies for decentralizing data ownership and implementation methodologies.
Who would benefit from reading this book?: Data engineers, architects, product owners, and professionals in DevOps and MLOps roles will find immense value in the practical insights and frameworks presented in this book.
How does this book differentiate between streaming and batch data?: The authors outline the fundamental differences and applications of streaming versus batch data mesh, ensuring that readers can effectively adapt their strategies based on organizational needs.
What tools are discussed in the book?: The book covers tools like Kafka that are essential for building and implementing a streaming data mesh.
How many pages does the book contain?: The book consists of 223 pages, packed with actionable insights and guidelines for its readers.

- Brand: OEM
- UPC: 9781098130725
- Item Condition: New
- Model: 1098130723
- SKU: 1098130723
- Length (cm): 1
- Width (cm): 18
- Height (cm): 23
- Weight (kg): 0.4
- Language: English
- Book Title: Streaming Data Mesh: A Model for Optimizing Real-Time Data Services
- Author: Dulay, Hubert
- Publisher: OEM
- Book Cover: Softcover
- Page Count: 223

Vendor listing title: Libro: Streaming Data Mesh: A Model For Optimizing Real-time