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Building an Event-Driven Data Mesh: Patterns for Designing & Building

Description: 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 possible Solutions to pitfalls you may encounter when moving your organization from monoliths to event-driven architectures A clear understanding of how events relate to systems and other events in the same stream and across streams A realistic look at event modeling options, such as fact, delta, and command type events, including how these choices will impact your data products Best practices for handling events at scale, privacy, and regulatory compliance Advice on asynchronous communication and handling eventual consistency

Price: 53.39 USD

Location: East Hanover, NJ

End Time: 2024-11-04T00:12:59.000Z

Shipping Cost: 0 USD

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Building an Event-Driven Data Mesh: Patterns for Designing & BuildingBuilding an Event-Driven Data Mesh: Patterns for Designing & Building

Item Specifics

Return shipping will be paid by: Buyer

All returns accepted: Returns Accepted

Item must be returned within: 60 Days

Refund will be given as: Money back or replacement (buyer's choice)

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EAN: 9781098127602

UPC: 9781098127602

ISBN: 9781098127602

MPN: N/A

Book Title: Building an Event-Driven Data Mesh: Patterns for D

Number of Pages: 259 Pages

Language: English

Publication Name: Building an Event-Driven Data Mesh : Patterns for Designing and Building Event-Driven Architectures

Publisher: O'reilly Media, Incorporated

Subject: Systems Architecture / Distributed Systems & Computing, Data Modeling & Design, Data Processing, Databases / Data Mining

Item Height: 0.7 in

Publication Year: 2023

Type: Textbook

Item Weight: 16.3 Oz

Subject Area: Computers

Item Length: 9.2 in

Author: Adam Bellemare

Item Width: 6.9 in

Format: Trade Paperback

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