• Complain

Hubert Dulay and Stephen Mooney - Streaming Data Mesh (8th Early Release)

Here you can read online Hubert Dulay and Stephen Mooney - Streaming Data Mesh (8th Early Release) full text of the book (entire story) in english for free. Download pdf and epub, get meaning, cover and reviews about this ebook. year: 2023, publisher: OReilly Media, Inc., genre: Computer. Description of the work, (preface) as well as reviews are available. Best literature library LitArk.com created for fans of good reading and offers a wide selection of genres:

Romance novel Science fiction Adventure Detective Science History Home and family Prose Art Politics Computer Non-fiction Religion Business Children Humor

Choose a favorite category and find really read worthwhile books. Enjoy immersion in the world of imagination, feel the emotions of the characters or learn something new for yourself, make an fascinating discovery.

Hubert Dulay and Stephen Mooney Streaming Data Mesh (8th Early Release)

Streaming Data Mesh (8th Early Release): summary, description and annotation

We offer to read an annotation, description, summary or preface (depends on what the author of the book "Streaming Data Mesh (8th Early Release)" wrote himself). If you haven't found the necessary information about the book — write in the comments, we will try to find it.

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, youll 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

Hubert Dulay and Stephen Mooney: author's other books


Who wrote Streaming Data Mesh (8th Early Release)? Find out the surname, the name of the author of the book and a list of all author's works by series.

Streaming Data Mesh (8th Early Release) — read online for free the complete book (whole text) full work

Below is the text of the book, divided by pages. System saving the place of the last page read, allows you to conveniently read the book "Streaming Data Mesh (8th Early Release)" online for free, without having to search again every time where you left off. Put a bookmark, and you can go to the page where you finished reading at any time.

Light

Font size:

Reset

Interval:

Bookmark:

Make
Confluent Streaming Data Mesh by Hubert Dulay and Stephen Mooney Copyright - photo 1
Confluent
Streaming Data Mesh by Hubert Dulay and Stephen Mooney Copyright 2023 Hubert - photo 2
Streaming Data Mesh

by Hubert Dulay and Stephen Mooney

Copyright 2023 Hubert Dulay and Stephen Mooney. All rights reserved.

Printed in the United States of America.

Published by OReilly Media, Inc., 1005 Gravenstein Highway North, Sebastopol, CA 95472.

OReilly books may be purchased for educational, business, or sales promotional use. Online editions are also available for most titles (http://oreilly.com). For more information, contact our corporate/institutional sales department: 800-998-9938 or corporate@oreilly.com.

  • Acquisitions Editor: Andy Kwan
  • Development Editor: Jeff Bleiel
  • Production Editor: Beth Kelly
  • Copyeditor: Sonia Saruba
  • Proofreader:
  • Indexer:
  • Interior Designer: David Futato
  • Cover Designer: Karen Montgomery
  • Illustrator: Kate Dullea
  • June 2023: First Edition
Revision History for the First Edition
  • 2023-05-11: First Release

See http://oreilly.com/catalog/errata.csp?isbn=9781098130725 for release details.

The OReilly logo is a registered trademark of OReilly Media, Inc. Streaming Data Mesh, the cover image, and related trade dress are trademarks of OReilly Media, Inc.

The views expressed in this work are those of the authors and do not represent the publishers views. While the publisher and the authors have used good faith efforts to ensure that the information and instructions contained in this work are accurate, the publisher and the authors disclaim all responsibility for errors or omissions, including without limitation responsibility for damages resulting from the use of or reliance on this work. Use of the information and instructions contained in this work is at your own risk. If any code samples or other technology this work contains or describes is subject to open source licenses or the intellectual property rights of others, it is your responsibility to ensure that your use thereof complies with such licenses and/or rights.

This work is part of a collaboration between OReilly and Confluent. See our statement of editorial independence.

978-1-098-13072-5

Preface

Welcome to this first edition of Streaming Data Mesh! Your guide to understanding and building a streaming data mesh that meets all of the pillars of a data mesh.

Data mesh is one of the most popular architecture for data platforms that many are exploring today. This book will help you get a full understanding of this self-servicing data platform in a streaming context. Today, batch processing dominates all ETL processes most businesses. This book will help show a different perspective to data pipelines and apply the same concepts you already understand in batch ETL but in a streaming ETL in the context of a data mesh.

This book is designed to help you understand the essential concepts around streaming data meshthe concepts, architectures, and technologies at its core. The book covers all the essential topics related to streaming mesh, from the basics of data architecture, to the use of big data tools for data warehousing, to business-oriented approaches for streaming data mesh architectures. Additionally, we will look at a stack of services involved in a successful streaming data mesh project.

This book does not require you to have pre-knowledge of the pillars that make up a data mesh. We will briefly introduce the pillars at a very high level but specifically define them with streaming in mind. If you feel you need to understand data mesh in more detail, please refer to Zhamak Dehghanis book Data Mesh: Delivering Data-Driven Value at Scale 1st Edition.

Who Should Read This Book

This book is written for anyone who is interested in learning more about streaming data mesh, combining the exciting work done in data mesh with real-time streaming for data transformation, data product definition, and data governance. This book is also useful for data engineers, data analysts, data scientists, software architects, and product owners who want to implement a streaming data architecture for their projects. This type of book is useful for those who wish to become familiar with streaming data technologies and best practices for integrating them, at scale, into their projects.

Why We Wrote This Book

We wrote a book on streaming data mesh because we believe it has the potential to revolutionize the way companies manage and process their data. Streaming data mesh provides an unified platform that unites messaging, storage, and processing capabilities into one comprehensive solution. By increasing data reliability and coverage while reducing costs, this platform enables companies to significantly accelerate their digital transformation and become data-driven organizations. With this book, we want to make sure our readers understand the key principles, the latest approaches, and the dos and do nots of streaming data mesh. We also want to provide step-by-step guidance for setting up and operating a streaming data mesh, taking into account best practices.

Navigating This Book

This book is organized roughly as follows:

  • Chapters provide an introduction to Data Mesh concepts and extend these into a Streaming context.
  • goes into detail about domain ownership and the approaches used to identify domains, domain-driven design, the roles associated with a data domain, tools to consider, as well as an approach to domain-centric chargebacks.
  • explores the creation of streaming data products, including data product identification, ingestion, transformation, and publication of data products.
  • examines Federated Computational Data Governance within a streaming data mesh.
  • discusses the self-service infrastructure as it relates to streaming data mesh.
  • dives into the architecture of a streaming data mesh and its components, including infrastructure and cloud architecture.
  • discusses the structure, alignment, and roles associated with building a decentralized team.
  • discusses the application of streaming data mesh for creating feature stores to empower data science model training and inference.
  • provides a concrete example of creating a streaming data mesh.
Conventions Used in This Book

The following typographical conventions are used in this book:

Italic

Indicates new terms, URLs, email addresses, filenames, and file extensions.

Constant width

Used for program listings, as well as within paragraphs to refer to program elements such as variable or function names, databases, data types, environment variables, statements, and keywords.

Constant width bold

Shows commands or other text that should be typed literally by the user.

Constant width italic

Shows text that should be replaced with user-supplied values or by values determined by context.

Tip

This element signifies a tip or suggestion.

Note

This element signifies a general note.

Warning

This element indicates a warning or caution.

Using Code Examples

Supplemental material (code examples, exercises, etc.) is available for download at https://github.com/oreillymedia/title_title

Next page
Light

Font size:

Reset

Interval:

Bookmark:

Make

Similar books «Streaming Data Mesh (8th Early Release)»

Look at similar books to Streaming Data Mesh (8th Early Release). We have selected literature similar in name and meaning in the hope of providing readers with more options to find new, interesting, not yet read works.


Reviews about «Streaming Data Mesh (8th Early Release)»

Discussion, reviews of the book Streaming Data Mesh (8th Early Release) and just readers' own opinions. Leave your comments, write what you think about the work, its meaning or the main characters. Specify what exactly you liked and what you didn't like, and why you think so.