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NoSQL Concepts

4.8+
15 reviews
Intermediate

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! 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

    Free

    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.

    Play Chapter Now
    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.

    Play Chapter Now
    What is a document database?
    50 xp
    Documents or collections?
    100 xp
    True or false?
    100 xp
    Key-value or document database?
    100 xp
    Advantages and limitations of document databases
    50 xp
    Classifying advantages and limitations
    100 xp
    Examining the advantages and limitations
    100 xp
    When to use document databases
    50 xp
    Appropriate use cases for document databases
    100 xp
    Suitable or not suitable
    100 xp
    MongoDB case study
    50 xp
    MongoDB features
    100 xp
    MongoDB products
    100 xp
    Shutterfly and MongoDB
    100 xp
  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.

    Play Chapter Now
    What is a column family database?
    50 xp
    Identifying column family components
    100 xp
    True or false?
    100 xp
    Identifying the database
    100 xp
    Advantages and limitations of column family databases
    50 xp
    Classifying advantages and limitations
    100 xp
    Examining the advantages and limitations
    100 xp
    When to use column family databases
    50 xp
    Appropriate use cases for column family databases
    100 xp
    Suitable or not suitable
    100 xp
    Apache Cassandra case study
    50 xp
    Cassandra features
    100 xp
    Bigmate and Cassandra
    100 xp
  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.

    Play Chapter Now
    What is a graph database?
    50 xp
    Identifying graph database components
    100 xp
    True or false?
    100 xp
    Identifying the database
    100 xp
    Advantages and limitations of graph databases
    50 xp
    Classifying advantages and limitations
    100 xp
    Examining the advantages and limitations
    100 xp
    When to use graph databases
    50 xp
    Appropriate use cases for graph databases
    100 xp
    Suitable or not suitable
    100 xp
    Neo4j case study
    50 xp
    Neo4j features
    100 xp
    Neo4j graph platform
    100 xp
    Gousto and Neo4j
    100 xp
    Congratulations!
    50 xp
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Collaborators

Collaborator's avatar
Hadrien Lacroix

Prerequisites

Database Design
Miriam Antona HeadshotMiriam Antona

Software Engineer

Miriam is a freelance Software Engineer with 15+ years of experience. She is focused on analyzing, designing, and developing software applications. She also collaborates with the UOC University supervising Bachelor theses. 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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  • KUSHAL G.
    6 months

    Content was good, but the tutors speech was not clear sometimes

  • Slav S.
    8 months

    Very neat course laying out all important aspects of NoSQL

  • Ben L.
    11 months

    NoSQL Concepts provides an invaluable resource for anyone interested in understanding the paradigms that deviate from traditional relational databases. The book masterfully elucidates the intricacies of NoSQL databases, effectively bridging the gap between theoretical understanding and practical application. One of the most noteworthy aspects of this book is its balanced presentation of various NoSQL types, such as Document, Column-family, Key-Value, and Graph databases. The author does a commendable job explaining the underlying data models, architecture, and design considerations for each type, thus allowing readers to make informed decisions based on their specific use-cases. The text does not shy away from diving deep into complex topics like CAP theorem, sharding, and consistency levels. Through meticulous explanations and real-world examples, these foundational concepts are presented in an easily digestible manner. As an educator and researcher in Computer Science, I found the book’s code snippets, predominantly in Java, extremely helpful. They serve as a concrete guide for implementing NoSQL databases and offer a useful starting point for further exploration and experimentation. The inclusion of case studies and interviews with industry experts adds another layer of depth, making the book a dynamic resource that combines academic rigor with practical insights. The case studies illuminate the real-world applications of NoSQL databases, providing a holistic perspective that extends beyond mere technical details. In terms of areas for improvement, the book could delve further into performance optimization techniques and best practices for NoSQL databases, although it already offers a commendable overview. Overall, NoSQL Concepts is an indispensable guide for both newcomers and seasoned professionals in the field of database technology. Its detailed analysis, coupled with hands-on examples, makes it a go-to resource for understanding the ever-evolving landscape of NoSQL databases.

  • Takashi K.
    12 months

    good course

  • Zoran M.
    over 1 year

    A good introduction that allowed me to ask better questions

"Content was good, but the tutors speech was not clear sometimes"

KUSHAL G.

"Very neat course laying out all important aspects of NoSQL"

Slav S.

"good course"

Takashi K.

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