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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.
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.Welcome!50 xpNoSQL vs relational databases100 xpKeys and values100 xpAdvantages and limitations of key-value databases50 xpClassifying advantages and limitations100 xpTrue or false?100 xpWhen to use key-value databases50 xpAppropriate use cases100 xpSuitable or not suitable100 xpRedis case study50 xpRedis features100 xpRedis and Editoo100 xp
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.What is a document database?50 xpDocuments or collections?100 xpTrue or false?100 xpKey-value or document database?100 xpAdvantages and limitations of document databases50 xpClassifying advantages and limitations100 xpExamining the advantages and limitations100 xpWhen to use document databases50 xpAppropriate use cases for document databases100 xpSuitable or not suitable100 xpMongoDB case study50 xpMongoDB features100 xpMongoDB products100 xpShutterfly and MongoDB100 xp
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.What is a column family database?50 xpIdentifying column family components100 xpTrue or false?100 xpIdentifying the database100 xpAdvantages and limitations of column family databases50 xpClassifying advantages and limitations100 xpExamining the advantages and limitations100 xpWhen to use column family databases50 xpAppropriate use cases for column family databases100 xpSuitable or not suitable100 xpApache Cassandra case study50 xpCassandra features100 xpBigmate and Cassandra100 xp
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.What is a graph database?50 xpIdentifying graph database components100 xpTrue or false?100 xpIdentifying the database100 xpAdvantages and limitations of graph databases50 xpClassifying advantages and limitations100 xpExamining the advantages and limitations100 xpWhen to use graph databases50 xpAppropriate use cases for graph databases100 xpSuitable or not suitable100 xpNeo4j case study50 xpNeo4j features100 xpNeo4j graph platform100 xpGousto and Neo4j100 xpCongratulations!50 xp
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.