Apps + Data + Cloud: What Does It All Mean?

on YouTube ↗01h 20m

" summary

Covers how cloud platforms (especially Cloud Foundry) combined with microservices and polyglot persistence enable modern data architectures, showing concrete Spring projects that support this stack. Describes using Spring Boot for microservices, Spring Data for SQL/NoSQL/NewSQL/Hadoop access, Reactor for reactive fast-data JVM apps, and Spring XD for ingest, real-time analytics, batch processing and export, and demonstrates these running together on Cloud Foundry and Hadoop.

AI-written summary · about

" chapters (11)

1. 0:00Start
2. 1:44This won't work...
3. 10:42Polyglot Persistence!
4. 16:44But I have a question!
5. 17:38Lambda Architecture
6. 20:53Join via Events!
7. 23:17It's gonna take a platform...
8. 27:53Gimme some data services...
9. 29:19Redbox Conceptual Workflow
10. 30:13SpringBox Microservices
11. 32:01KEY PLAYERS

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