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NoSQL Concepts

In this conceptual course (no coding required), you will learn about the four major NoSQL databases and popular engines.

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2 Horas17 Videos54 Ejercicios
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Descripción del curso

Confused about NoSQL and how it differs from SQL? You've come to the right place! In this conceptual course (no coding required), you’ll be introduced tolearn the four major NoSQL databases, including Key-Value, Document, Column-Family, and Graph. You’ll learn about four popular NoSQL engines—including Redis, MongoDB, Apache Cassandra, and Neo4j—and when to apply them to achieve a specific business requirement. You’ll follow the data escapades of a fictional social network and learn how NoSQL can help them handle and extract insights from unstructured data like social posts. Lastly, you’ll study real use cases of when NoSQL databases were used—giving you the knowledge you need to effectively store data in any situation.
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  1. 1

    Key-value databases

    Gratuito

    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.

    Reproducir Capítulo Ahora
    Welcome!
    50 xp
    NoSQL vs relational databases
    100 xp
    Keys and values
    100 xp
    Advantages and limitations of key-value databases
    50 xp
    Classifying advantages and limitations
    100 xp
    True or false?
    100 xp
    When to use key-value databases
    50 xp
    Appropriate use cases
    100 xp
    Suitable or not suitable
    100 xp
    Redis case study
    50 xp
    Redis features
    100 xp
    Redis and Editoo
    100 xp
  2. 2

    Document databases

    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.

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  3. 3

    Column family databases

    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.

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Colaboradores

Collaborator's avatar
Hadrien Lacroix

Requisitos Previos

Database Design
Miriam Antona HeadshotMiriam Antona

Software Engineer

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