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 Hours17 Videos54 Exercises
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Course Description

Confused about NoSQL and how it differs from SQL? You've come to the right place! <br/> <br/> In this conceptual course (no coding required), you’ll be introduced to learn the four major NoSQL databases, including <b>key-value, document, column family, and graph</b>. You’ll learn about four popular NoSQL engines—including <b>Redis, MongoDB, Apache Cassandra, and Neo4j</b>—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.

  1. 1

    Key-value databases

    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.
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  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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  4. 4

    Graph databases

    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.
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Hadrien Lacroix
Database Design
Miriam Antona Headshot

Miriam Antona

Software Engineer
Miriam Antona has 10+ years of experience working as a Software Engineer. She is focused on analyzing, designing, and developing software applications for the Justice Administration. Miriam loves programming and experimenting with different technologies. She is passionate about databases and enjoys playing with data. She holds a Master of Science Degree in Computer Engineering.
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