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
Next Course
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.
Show All
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.

Show All
Recommended Courses
free what-is-the-difference-between-data-management-and-data-governance-4935
What is the Difference Between Data Management and Data Governance?
1.5
Youtube 75,255 learners
Learn More
Learn the difference between data management and data governance with this online course. Understand the data to value journey, data governance, data management, and more. Get practical advice and tips from renowned industry experts with the LightsOnData Show. Plus, access free templates, daily tips, and fun data swag. Start your data journey today!
free ibm-data-engineering-4936
IBM Data Engineering
4.6
Coursera 43,733 learners
Learn More
This IBM Data Engineering program is the perfect way to get job-ready in the high-growth field of data engineering. In just 5 months, you'll learn in-demand skills like Python, SQL, and Databases, and gain hands-on experience with projects like designing a relational database, writing a Bash shell script, and training a machine learning model. You'll also earn an IBM Digital badge and Professional Certificate, and have the opportunity to earn up to 12 college credits. Don't miss out on this amazing opportunity to jumpstart your career in data engineering!
free introduction-to-data-models-4944
Introduction to Data Models
2.5
Youtube 86,152 learners
Learn More
This course by Neso Academy introduces the concept of data models and their importance in the real world. It covers various categories of data models such as relational, entity-relationship, object-based, semi-structured and network and hierarchical models. It also provides examples of each data model to help learners understand the concepts better. Follow Neso Academy on Instagram and join their memberships to get access to this course and many more. Don't forget to check out their website, forum, Facebook and Twitter for more information.
free data-modeling-in-the-modern-data-stack-4945
Data Modeling in the Modern Data Stack
1.5
Youtube 37,866 learners
Learn More
Data Modeling is a critical decision for any data team, and it's even more important in today's modern data stack. In this course, you'll learn why Data Modeling is still important, the common approaches, and what to consider when making decisions. You'll also get an introduction to Census and Reverse ETL, and how they can help you in your data journey. Don't miss out on this opportunity to learn more about Data Modeling and how to make the most of your data stack.
Favorites (0)
Favorites
0 favorite option

You have no favorites

Name delet