An Introduction to Spring Data
summary
Spring Data presents a single programming model across JPA, Redis, MongoDB, HBase, Neo4j, GemFire and Hadoop, claiming a common repository API that auto-creates CRUD and paging methods from interfaces, integrates QueryDSL’s generated Q-types for type-safe predicates, and exposes JPA repositories as JSON hypermedia via Spring Data REST with a CLI REST shell. It demos working pieces: Redis template atomic counters, HBase template that manages HTable lifecycle, Neo4j transactional Cypher queries, MongoDB GridFS and cross-store persistence; code and examples are on GitHub.
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chapters (26)
- 0:00Introduction
- 1:19Data Trends
- 8:33Query
- 9:08Big Data
- 9:56Reality Check
- 10:43Relative Scale
- 11:03Spring Data Project
- 17:47Spring Data Repository Recipes
- 18:53Paging and Sorting
- 20:07Laundry List
- 20:49Query DSL
- 23:10Demo
- 29:30Cray DSL
- 30:47Marker Annotation
- 32:34Paging
- 33:26Resource Management
- 35:24Redis
- 40:51HBase
- 46:41Mongo
- 47:32Spring DataMongo
- 49:01Spring DataMongo Walkthrough
- 52:09Spring Data Integration
- 53:59Recap
- 55:43Graph Databases
- 56:37Relational Databases
- 59:18Database
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