¿Documentos o colecciones?

En esta lección, has aprendido algo de terminología específica de las bases de datos de documentos.

¿Puedes clasificar las siguientes afirmaciones en su componente correcto?

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Conceptos de NoSQL

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Conceptos de NoSQL

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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: ¿Qué es una base de datos de documentos?Exercise 2: ¿Documentos o colecciones?

Ejercicio actual

Exercise 3: ¿Verdadero o falso?Exercise 4: ¿Base de datos clave-valor o de documentos?Exercise 5: Ventajas y limitaciones de las bases de datos de documentos Exercise 6: Clasificar ventajas y limitaciones Exercise 7: Examina las ventajas y las limitaciones Exercise 8: Cuándo usar bases de datos de documentos Exercise 9: Casos de uso adecuados para bases de datos de documentos Exercise 10: Adecuado o no adecuado Exercise 11: Caso práctico de MongoDB Exercise 12: Funciones de MongoDB Exercise 13: Productos de MongoDB Exercise 14: Shutterfly y 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: What is a graph database?Exercise 2: Identifying graph database components Exercise 3: True or false?Exercise 4: Identifying the database Exercise 5: Advantages and limitations of graph databases Exercise 6: Classifying advantages and limitations Exercise 7: Examining the advantages and limitations Exercise 8: When to use graph databases Exercise 9: Appropriate use cases for graph databases Exercise 10: Suitable or not suitable Exercise 11: Neo4j case study Exercise 12: Neo4j features Exercise 13: Neo4j graph platform Exercise 14: Gousto and Neo4j Exercise 15: Congratulations!