50 Shades of Data: How, When, Why—Big, Relational, NoSQL, Elastic, Graph, Event
summary
Overview of data storage and processing patterns across relational, NoSQL, and big-data technologies and when to use each. Covers products and platforms such as Oracle Database, MySQL, Cassandra, Neo4J, Hadoop/Spark, Elasticsearch, Kafka, and Redis, and discusses architectures and trends like microservices, BASE, CQRS, event sourcing, caching, and deployment options (containers, cloud).
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chapters (20)
- 0:00Introduction
- 1:28Data tech overview
- 3:17Live demo streaming
- 5:11Real-time challenges
- 7:37Real-time vs near real-time
- 9:26Event sourcing truth
- 12:33Normalization trade-offs
- 15:46Polyglot persistence
- 17:53Choosing right database
- 20:00Bookshop case study
- 23:32Event sourcing truth
- 26:01Blockchain CDC
- 28:48Graph queries
- 31:59Relational ACID
- 34:30Database evolution
- 36:54Oracle features
- 38:18Oracle licensing
- 40:04Microservices ownership
- 42:30Data innovation value
- 44:00Conclusion
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