Building an Event Driven Data Mesh 1st Edition by Adam Bellemare ISBN 9781098127589 1098127587

Building an Event Driven Data Mesh 1st Edition by Adam Bellemare – Ebook PDF Instant Download/Delivery: 9781098127589 ,1098127587
Full download Building an Event Driven Data Mesh 1st Edition after payment

Product details:
ISBN 10: 1098127587
ISBN 13: 9781098127589
Author: Adam Bellemare

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 examples of event and event stream design, including recommendations 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 state, delta, and command type events, including how these choices will impact your data products Methods for handling events at scale, including multitenancy Best practices for privacy and regulatory compliance Advice on handling eventual consistency and building multitenancy solutions and asynchronous communication Practical tips for iteratively building your own event-driven data mesh, including hurdles youâ??ll encounter, 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

Building an Event Driven Data Mesh 1st Edition Table of contents:

1. Introducing Event Streams for Data Communication 
The Case for Event Streams and Event-Driven Architectures 
A Brief History of the Operational and Analytical Plane 
The Operational Plane 
The Difficulties of Communicating Data Between Operational Services 
A short opinionated history of big data – Hadoop, Data Warehouse, Lakes, and Analytics 
The Organizational Impact of Schema on Read 
Problem 1: Improper Data Model Boundaries 
Problem 2: Ownership is spread across multiple teams 
Problem 3: Do-it-yourself & Custom Point-to-Point Data Connections 
Bad Data: The Costs of Inaction 
One more problem to solve: Unifying analytical and operational workflows 
How Do We Resolve All Of These Data Issues? 
Common Objections to an Event-Driven Data Mesh 
Producers cannot model data for everyone’s use cases 
Making multiple copies of data is bad 
Eventual Consistency is too difficult to manage 
Chapter Summary 
2. Designing Events 
Introduction to Event Types 
State Events with Event-Carried State Transfer 
Current State 
ECST events with Before/After State 
ECST Event Definition Recommendations 
Action Events (the type previously favored by ephemeral message brokers) 
Event Sourcing and Its Incorrect Usage Between Domains 
1) There is an Infinite Set of Possible Event Types 
2) The Logic to interpret the events must be replicated to each consumer 
3) These events map poorly to event streams 
4) Inversion of ownership: Consumers put business logic into the producer 
5) Inability to maintain historical data without excessive complications 
Action event takeaways 
Measurement events 
Hybrid Events – State with a bit of Action 
Notification Events 
Chapter Summary

People also search for Building an Event Driven Data Mesh 1st Edition:

what is data driven architecture
    
how to build a data mesh
    
data-mesh architecture
    
data mesh architecture example
    
event driven data architecture

Tags: Adam Bellemare, Building, Event Driven, Data Mesh