Introduction to NoSQL Databases

Course Feature

Cost

Free
Provider

Coursera
Certificate

Paid Certification
Language

English
Start Date

No Information
Learners

No Information
Duration

No Information
Instructor

IBM Data Engineering Professional Certificate

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4.6

23,618 Ratings

This course provides a comprehensive introduction to NoSQL databases and Database-as-a-Service (DaaS) offerings. It covers the history and basics of NoSQL databases, their key characteristics and benefits, and the four categories of NoSQL databases. You will also learn about the architecture and features of MongoDB, Cassandra, and IBM Cloudant, and gain hands-on experience using them to perform database management tasks. With this course, you will gain the technical knowledge to effectively handle scalability and flexibility issues raised by modern applications.

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Course Overview

❗The content presented here is sourced directly from Coursera platform. For comprehensive course details, including enrollment information, simply click on the 'Go to class' link on our website.

Updated in [July 26th, 2023]

This course provides students with technical hands-on knowledge of NoSQL databases and Database-as-a-Service (DaaS) offerings. With the emergence of Big Data and agile development methodologies, NoSQL databases have become increasingly relevant in the database landscape. Their main advantage is the ability to effectively handle scalability and flexibility issues posed by modern applications. Students will begin by learning the history and fundamentals of NoSQL databases and understanding their key characteristics and benefits. They will learn about the four categories of NoSQL databases and how they differ from each other. Students will explore the architecture and features of several different implementations of NoSQL databases, such as MongoDB, Cassandra, and IBM Cloudant. They will then gain hands-on experience using those NoSQL databases to perform standard database management tasks, such as creating and replicating databases, loading and querying data, modifying database permissions, indexing and aggregating data, and sharding (or partitioning) data.

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