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

Author:   Stephen Mooney ,  Hubert Dulay ,  Mike Lenz
Publisher:   Ascent Audio
ISBN:  

9798874869410


Publication Date:   24 September 2024
Format:   Audio  Audio Format
Availability:   In Print   Availability explained
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Streaming Data Mesh: A Model for Optimizing Real-Time Data Services


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Overview

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; and implement self-services that support decentralized data.

Full Product Details

Author:   Stephen Mooney ,  Hubert Dulay ,  Mike Lenz
Publisher:   Ascent Audio
Imprint:   Ascent Audio
ISBN:  

9798874869410


Publication Date:   24 September 2024
Audience:   General/trade ,  General
Format:   Audio
Publisher's Status:   Active
Availability:   In Print   Availability explained
This item will be ordered in for you from one of our suppliers. Upon receipt, we will promptly dispatch it out to you. For in store availability, please contact us.

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Stephen Mooney is an independent data scientist and data engineer serving multiple clients. With over twenty years of experience in big data, MLOps, and data science, he has worked in many major companies across healthcare, retail, and the public sector. Through this experience Stephen has delivered many technical and functional projects throughout the entire product lifecycle. Hubert Dulay is a systems and data engineer at Confluent. A veteran engineer with over twenty years of experience in big and fast data and MLOps, Hubert has consulted for financial institutions, healthcare organizations, and telecommunications companies, providing simple solutions that solved many data problems. Mike Lenz has been an audiobook narrator and voice actor for more than fourteen years. Having narrated titles in genres ranging from fiction, entertainment, science, and children's literature to Christian, business, self-help, and history, Mike loves bringing nonfiction and fiction stories to life with his engaging, confident, and trustworthy voice. Mike's broad background includes voicing commercials, eLearning projects, real estate videos, corporate and web-based videos, and brand imaging, appearing in regional and national television commercials as an on-camera talent, and serving as the mayor of his hometown of Saratoga Springs, New York. Mike is also a Voice Arts Award-nominated podcast producer as well as an author. He is a frequent speaker at learning and voice-over conferences. Mike currently lives in Saratoga Springs, New York, with his wife and four children.

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