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1
Introduction
2
Migrating to Microsoft Databases
3
Data
4
Data Management
5
Release Cycles
6
Dynamic Domain Model
7
Event Sourcing
8
Event Sourcing Architecture
9
CQRS
10
QQ Operations
11
Secure RS
12
Security Architecture
13
Performance
14
Distribution
15
Use Cases
16
Distributed Secure Stores
17
Events
18
Considerations
19
Memory Data Grids
20
Data Virtualization
21
Message Brokers
22
Reactive Platform
23
Change Data Capture
Description:
Explore data patterns for microservices in this comprehensive conference talk focusing on CQRS and Event Sourcing. Dive into various approaches for distributing and manipulating different types of data in distributed systems. Learn about update frequency, data staleness, push vs. pull mechanisms, legacy vs. new systems, caching strategies, and event sourcing techniques. Discover how technologies like Data Virtualization, Change Data Capture, In-memory Data Grids, and Reactive Programming can be applied to solve diverse data scenarios with varying requirements. Gain insights from Edson Yanaga, a Java Champion and Microsoft MVP, as he shares his expertise on Java, Microservices, Cloud Computing, DevOps, and Software Craftsmanship. Cover topics such as migrating to Microsoft Databases, data management, release cycles, dynamic domain models, event sourcing architecture, CQRS, security considerations, performance optimization, distributed secure stores, message brokers, and reactive platforms. Read more

Microservices Data Patterns - CQRS & Event Sourcing

Devoxx
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