Elasticsearch 7 and Elastic Stack - In Depth and Hands On! - Data Modeling and Parent/Child Relationships - Part 1

The video tutorial discusses data normalization and denormalization in distributed systems like Elasticsearch. It explains the trade-offs between these approaches, focusing on storage efficiency, data retrieval, and system performance. The tutorial also covers modeling parent-child relationships in Elasticsearch, using movie franchises as an example.

What is the usual advice regarding data normalization in distributed systems like Cassandra or MongoDB?

Explain the tradeoffs between normalizing and denormalizing data in Elasticsearch.

How does the normalized approach to storing ratings and movie names work?

What are the benefits of using a denormalized approach in data storage?

Discuss the implications of changing a movie title in a normalized data structure.

What is the significance of parent-child relationships in data modeling?

How can you model movie franchises and their associated movies in Elasticsearch?