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

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

Assessment

Interactive Video

Information Technology (IT), Architecture, Performing Arts

University

Hard

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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.

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7 questions

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1.

OPEN ENDED QUESTION

3 mins • 1 pt

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

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2.

OPEN ENDED QUESTION

3 mins • 1 pt

Explain the tradeoffs between normalizing and denormalizing data in Elasticsearch.

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3.

OPEN ENDED QUESTION

3 mins • 1 pt

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

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4.

OPEN ENDED QUESTION

3 mins • 1 pt

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

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5.

OPEN ENDED QUESTION

3 mins • 1 pt

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

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6.

OPEN ENDED QUESTION

3 mins • 1 pt

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

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7.

OPEN ENDED QUESTION

3 mins • 1 pt

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

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