Elasticsearch 7 and Elastic Stack - In Depth and Hands On! - Data Modeling and Parent/Child Relationships - Part 2

The video tutorial demonstrates how to use Elasticsearch to associate films with their respective franchises, using Star Wars as an example. It covers setting up a new index with parent-child relationships, inserting data, and querying the data to retrieve films by franchise or vice versa. The tutorial highlights the flexibility of Elasticsearch in handling relational data structures, which is typically not common in NoSQL databases.

What is the purpose of setting up a new index in Elasticsearch for films and franchises?

• To store unrelated data

• To associate films with their respective franchises

• To create a backup of data

• To improve search speed

What type of relationship is used to connect films to franchises in Elasticsearch?

• Sibling relationship

• Independent relationship

• Cyclic relationship

• Parent-child relationship

How is the data for films and franchises inserted into the Elasticsearch index?

• By importing a CSV file

• Through a graphical interface

• Using a bulk insert format

• Manually one by one

Which query type is used to find all films associated with a specific franchise?

• Match query

• Has_child query

• Has_parent query

• Range query

What is the main difference when querying for a franchise associated with a specific film?

• Using a different database

• Using a different data format

• Using the has_child query instead of has_parent

• Changing the index name

What is the benefit of using parent-child relationships in Elasticsearch?

• It reduces the size of the database

• It enables relational structured data within a NoSQL database

• It simplifies the data model

• It allows for faster data retrieval

What flexibility does Elasticsearch offer with parent-child relationships?

• It provides automatic data backup

• It enables both parent-to-child and child-to-parent queries

• It supports distributed data storage

• It allows for multiple data types