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00:00 Introduction: From painful early learning to AI-generated annotations
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Classroom Contents
Hibernate vs Spring Data vs jOOQ - Understanding Java Persistence
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- 1 00:00 Introduction: From painful early learning to AI-generated annotations
- 2 01:02 Meet Thorben Janssen – consultant and trainer for Java persistence
- 3 02:11 Early days of Hibernate and the horror of EJB2
- 4 04:33 Main challenges in database access today
- 5 06:18 Too many tools: Hibernate, JPA, Spring Data, jOOQ – how to choose
- 6 08:15 Why understanding ORM internals really matters
- 7 09:20 How juniors should start learning persistence
- 8 10:59 SQL skills – why you still need them even with Hibernate or Spring Data
- 9 13:48 SQL essentials for beginners: what to learn first
- 10 16:01 Why Hibernate became the dominant persistence tool
- 11 18:57 Hibernate vs JPA – is there really a difference?
- 12 20:35 Hibernate API vs Jakarta Persistence API – which to use
- 13 22:10 Criteria API and DSLs for queries
- 14 23:43 Strengths and weaknesses of Spring Data JPA
- 15 27:26 Jakarta Data vs Spring Data JPA
- 16 30:53 Stateful vs stateless data models
- 17 33:21 jOOQ, Exposed, and the SQL-centric approach
- 18 37:41 Mixing Hibernate and Exposed in one project
- 19 39:33 Where Spring Data JDBC fits in
- 20 43:24 Starting a new project in 2025 – what stack to choose
- 21 45:24 The role of experience and not chasing every new trend
- 22 48:50 Monoliths, microservices, and common pitfalls
- 23 52:14 Database design vs service design – where to start
- 24 59:02 Common database performance issues
- 25 01:03:10 Why developers should collaborate with DBAs
- 26 01:06:20 Caching problems: when caches make things worse
- 27 01:09:29 Reactive database access – what happened to the hype
- 28 01:12:33 The “perfect” persistence framework – does it exist?
- 29 01:14:40 AI-assisted development and query generation
- 30 01:19:43 The AI hype cycle and developer reality
- 31 01:20:17 Other persistence models worth learning graph, full-text search
- 32 01:21:43 Full-text search and graph databases in practice
- 33 01:23:25 Integrating AI into applications
- 34 01:24:38 Thorben’s unpopular opinions
- 35 01:26:04 Giveaway announcement
- 36 01:27:06 Rapid-fire round: Paderborn, joins, and lazy loading
- 37 01:30:00 Closing remarks
