Classer avantages et limites

Vous avez étudié les avantages et les limites des bases de données graphe.

Pouvez-vous classer les caractéristiques suivantes comme des avantages ou des limites ?

Cet exercice fait partie du cours

<cours>Concepts NoSQL</cours>

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Cet exercice fait partie du cours

<cours>Concepts NoSQL</cours>

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To begin the course, you’ll learn the differences between NoSQL and relational databases. After that, you'll discover key-value databases, their advantages, and their limitations. You’ll recognize the situations in which key-value databases are suitable. You’ll end this chapter by studying the case of Editoo, a company that reduced its downtime and improved its performance thanks to the Redis key-value database.

Exercise 1: Welcome!Exercise 2: NoSQL vs relational databases Exercise 3: Keys and values Exercise 4: Advantages and limitations of key-value databases Exercise 5: Classifying advantages and limitations Exercise 6: True or false?Exercise 7: When to use key-value databases Exercise 8: Appropriate use cases Exercise 9: Suitable or not suitable Exercise 10: Redis case study Exercise 11: Redis features Exercise 12: Redis and Editoo

In this chapter, you'll learn the basics of document databases. Then, you'll identify the advantages and limitations of this kind of database, and you’ll recognize the situations in which document databases are suitable. Finally, you’ll end this chapter with the Shutterfly case study. They used the MongoDB document database to reduce latency and accelerate time to market.

Exercise 1: What is a document database?Exercise 2: Documents or collections?Exercise 3: True or false?Exercise 4: Key-value or document database?Exercise 5: Advantages and limitations of document databases Exercise 6: Classifying advantages and limitations Exercise 7: Examining the advantages and limitations Exercise 8: When to use document databases Exercise 9: Appropriate use cases for document databases Exercise 10: Suitable or not suitable Exercise 11: MongoDB case study Exercise 12: MongoDB features Exercise 13: MongoDB products Exercise 14: Shutterfly and MongoDB

You'll look at column family databases, analyzing the advantages and limitations of this kind of database. You'll also study the situations where column family databases are suitable. Finally, you'll end this chapter with the case study of Bigmate, a company that used the Apache Cassandra database to handle millions of operations by concurrent users each second.

Exercise 1: What is a column family database?Exercise 2: Identifying column family components Exercise 3: True or false?Exercise 4: Identifying the database Exercise 5: Advantages and limitations of column family databases Exercise 6: Classifying advantages and limitations Exercise 7: Examining the advantages and limitations Exercise 8: When to use column family databases Exercise 9: Appropriate use cases for column family databases Exercise 10: Suitable or not suitable Exercise 11: Apache Cassandra case study Exercise 12: Cassandra features Exercise 13: Bigmate and Cassandra

This final chapter analyzes graph databases. You'll study the advantages and limitations of this kind of database and the situations where these are most useful. You'll end this course by looking into Gousto, a company that obtained better cost control thanks to the Neo4j database.

Exercise 1: Qu’est-ce qu’une base de données orientée graphe ?Exercise 2: Identifier les composants d’une base de données graphe Exercise 3: Vrai ou faux ?Exercise 4: Identifier la base de données Exercise 5: Avantages et limites des bases de données orientées graphe Exercise 6: Classer avantages et limites

Exercice actuel

Exercise 7: Examiner les avantages et les limites Exercise 8: Quand utiliser les bases de données orientées graphe Exercise 9: Cas d'utilisation adaptés aux bases de données graphiques Exercise 10: Adapté ou non adapté Exercise 11: Étude de cas Neo4j Exercise 12: Fonctionnalités de Neo4j Exercise 13: Plateforme de graphes Neo4j Exercise 14: Gousto et Neo4j Exercise 15: Félicitations !