Description: Building an Event-driven Data Mesh : Patterns for Designing & Building Event-driven Architectures, Paperback by Bellemare, Adam, ISBN 1098127609, ISBN-13 9781098127602, Like New Used, Free shipping in the US The exponential growth of data combined with the need to derive real-time business value is a critical issue today. An event-driven data mesh can power real-time operational and analytical workloads, all from a single set of data product streams. With practical real-world examples, this book shows you how to successfully design and build an event-driven data mesh. Building an Event-Driven Data Mesh provides:Practical tips for iteratively building your own event-driven data mesh, including hurdles you'll experience, possible solutions, and how to obtain real value as soon as possibleSolutions to pitfalls you may encounter when moving your organization from monoliths to event-driven architecturesA clear understanding of how events relate to systems and other events in the same stream and across streamsA realistic look at event modeling options, such as fact, delta, and command type events, including how these choices will impact your data productsBest practices for handling events at scale, privacy, and regulatory complianceAdvice on asynchronous communication and handling eventual consistency
Price: 52 USD
Location: Jessup, Maryland
End Time: 2024-10-20T16:48:33.000Z
Shipping Cost: 0 USD
Product Images
Item Specifics
Restocking Fee: No
Return shipping will be paid by: Buyer
All returns accepted: Returns Accepted
Item must be returned within: 14 Days
Refund will be given as: Money Back
Book Title: Building an Event-driven Data Mesh : Patterns for Designing & Bui
Number of Pages: 259 Pages
Publication Name: Building an Event-Driven Data Mesh : Patterns for Designing and Building Event-Driven Architectures
Language: English
Publisher: O'reilly Media, Incorporated
Publication Year: 2023
Item Height: 0.7 in
Subject: Systems Architecture / Distributed Systems & Computing, Data Modeling & Design, Data Processing, Databases / Data Mining
Item Weight: 16.3 Oz
Type: Textbook
Author: Adam Bellemare
Item Length: 9.2 in
Subject Area: Computers
Item Width: 6.9 in
Format: Trade Paperback