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Mastering Akka

You're reading from   Mastering Akka A hands-on guide to build application using the Akka framework

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Product type Paperback
Published in Oct 2016
Publisher Packt
ISBN-13 9781786465023
Length 436 pages
Edition 1st Edition
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Author (1):
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Christian Baxter Christian Baxter
Author Profile Icon Christian Baxter
Christian Baxter
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Table of Contents (11) Chapters Close

Preface 1. Building a Better Reactive App FREE CHAPTER 2. Simplifying Concurrent Programming with Actors 3. Curing Anemic Models with Domain-Driven Design 4. Making History with Event Sourcing 5. Separating Concerns with CQRS 6. Going with the Flow with Akka Streams 7. REST Easy with Akka HTTP 8. Scaling Out with Akka Remoting/Clustering 9. Managing Deployments with ConductR 10. Troubleshooting and Best Practices

Chapter 4. Making History with Event Sourcing

When it comes to the persistence needs of an application, the most common, tried, and true approach is to model data in a relational database. Following this approach has been the de facto way to store data until recently, when NoSQL (and to a lesser extent NewSQL) started to chip away at the footholds of relational database dominance. There's nothing wrong with storing your application's data this way—it's how we initially chose to do so for the bookstore application using PostgreSQL as the storage engine.

This kind of approach to storing your data can answer the "What" question, as in "What is the current state of a particular entity?". But there's another question that is sometimes just as important, and that's the "How" question, as in "How did a particular entity get into this state?". This kind of question is not something that is easily handled in a traditional...

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