Introduction to NoSQL Databases from Coursera

Get started with NoSQL Databases with this beginner-friendly introductory course! This course will provide technical, hands-on knowledge of NoSQL databases and Database-as-a-Service (DaaS) offerings. With the advent of Big Data and agile development methodologies, NoSQL databases have gained a lot of relevance in the database landscape. Their main advantage is the ability to handle scalability and flexibility issues modern applications raise.

You will start this course by learning the history and the basics of NoSQL databases (document, key-value, column, and graph) and discover their key characteristics and benefits. You will learn about the four categories of NoSQL databases and how they differ. You’ll also explore the differences between the ACID and BASE consistency models, the pros and cons of distributed systems, and when to use RDBMS and NoSQL. You will also learn about vector databases, an emerging class of databases popular in AI.

Next, you will explore the architecture and features of several implementations of NoSQL databases, namely MongoDB, Cassandra, and IBM Cloudant. You will learn about the common tasks that they each perform and their key and defining characteristics.

You will then get 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.

At the end of this course, you will complete a final project where you will apply all your knowledge of the course content to a specific scenario and work with several NoSQL databases. This course suits anyone wanting to expand their Data Management and Information Technology skill set.

What's inside

Syllabus

Introducing NoSQL

NoSQL means Not only SQL. The term refers to a class of databases that are non-relational in architecture. NoSQL databases have their roots in the open-source community and have become more popular due to the demands of Big Data. In this module, you will learn about the characteristics of NoSQL and the four main categories of NoSQL databases: document, key-value, column, and graph. You will explore the differences between the ACID and BASE consistency models, the advantages and challenges of distributed systems, and the CAP theorem and its characteristics. You will also learn how to decide when to use RDBMS and when to use NoSQL.

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Covers the fundamentals of NoSQL databases, including different types, consistency models, and when to use them

Provides hands-on experience with popular NoSQL databases such as MongoDB, Cassandra, and Cloudant

Helps learners build a strong foundation in NoSQL concepts and their practical applications

Taught by experienced instructors who are recognized experts in NoSQL databases

Suitable for beginners who want to gain a comprehensive understanding of NoSQL databases

Includes a final project that allows learners to apply their skills to a real-world scenario

Reviews summary

Practical introduction to nosql databases

According to students, this course provides a solid and clear foundational understanding of NoSQL databases, making it excellent for beginners. Learners particularly praise the practical hands-on labs, especially for MongoDB, for cementing concepts like CRUD operations and indexing. The course content is generally considered current and relevant, with the inclusion of emerging topics like vector databases being a notable positive. While many find the course well-structured and easy to follow, some experienced learners note that it lacks deeper technical dives into advanced topics such as sharding for larger applications. Additionally, a few students mention occasional minor issues with lab setup instructions or feel the final project could be more challenging.

Course material is kept up-to-date with industry trends.

"The module on vector databases, while brief, was a timely addition."

"The content feels current and relevant."

"The vector database mention was a nice touch, showing awareness of current trends."

Exceptionally well-suited for those new to database concepts.

"Highly recommend for beginners!"

"As a complete novice, this course was a godsend."

"Good for absolute beginners..."

Provides valuable practical experience, especially with MongoDB.

"...the hands-on labs with MongoDB and Cassandra are excellent. I particularly enjoyed the practical exercises on CRUD operations and indexing."

"The practical labs, especially MongoDB, were a huge plus."

"The hands-on parts really cemented the concepts."

Offers a strong, accessible introduction to NoSQL basics.

"This course is a fantastic starting point for anyone looking to understand NoSQL. The concepts are explained very clearly..."

"Absolutely loved this course! ... The explanations of ACID vs BASE and CAP theorem were insightful."

"I feel much more confident discussing NoSQL now, it breaks down complex concepts into digestible chunks."

Some students encountered minor issues with lab setup or instructions.

"Some lab instructions were a little tricky to follow, but I managed."

"My only minor gripe is that some of the older lab setup instructions were a bit off..."

"The hands-on labs were sometimes buggy, and I spent more time troubleshooting than learning."

May not satisfy learners seeking in-depth or advanced topics.

"Decent introduction, but it felt a bit superficial at times. I was hoping for more in-depth coverage of sharding and replication..."

"Disappointed with the lack of depth. While it covers the basics, I found myself constantly looking for external resources..."

"...not for those with some prior DB experience."

Activities

Be better prepared before your course. Deepen your understanding during and after it. Supplement your coursework and achieve mastery of the topics covered in Introduction to NoSQL Databases with these activities:

Read 'Seven Databases in Seven Weeks'

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Expand your knowledge of NoSQL databases by reading 'Seven Databases in Seven Weeks,' which provides an overview of various NoSQL database systems and their applications.

View Seven Databases in Seven Weeks: A Guide to... on Amazon

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Read one chapter per week, focusing on a different NoSQL database.
Take notes and summarize the key concepts and benefits of each database.

Review relational database concepts

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Review the basics of relational databases, including tables, columns, and relationships, to strengthen your foundation for NoSQL concepts.

Browse courses on Relational Databases

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Read articles or textbooks on relational database fundamentals.
Take practice quizzes or online assessments to test your understanding.

Explore MongoDB tutorial

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Follow a guided tutorial on MongoDB to gain hands-on experience with creating and querying document-oriented databases.

Browse courses on MongoDB

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Find a comprehensiveMongoDB tutorial online.
Install MongoDB and follow the steps in the tutorial to create a database and collection.
Practice inserting, querying, and updating documents.

Two other activities

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Practice CRUD operations in Apache Cassandra

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Reinforce your understanding of Apache Cassandra by performing CRUD (Create, Read, Update, Delete) operations on a Cassandra database.

Browse courses on Apache Cassandra

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Set up a Cassandra database locally or on the cloud.
Use the CQL shell to create a keyspace and table.
Insert, query, update, and delete data using CQL statements.

Build a personal NoSQL project

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Reinforce your learning by embarking on a personal NoSQL project that challenges you to apply your skills and gain a deeper understanding of NoSQL database implementation.

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Identify a problem or need that can be addressed using a NoSQL database.
Choose a suitable NoSQL database and design the database schema.
Implement the project using a programming language and the chosen NoSQL database.
Test and evaluate the performance of your project.

Career center

Learners who complete Introduction to NoSQL Databases will develop knowledge and skills that may be useful to these careers:

Database Administrator

Database Administrators (DBAs) are responsible for the installation, configuration, maintenance, and monitoring of database management systems. They ensure that databases are running smoothly and efficiently, and that data is secure and accessible. This course provides a solid foundation in the principles of NoSQL databases, which are becoming increasingly popular for handling large and complex datasets. By completing this course, you will gain the skills and knowledge needed to succeed as a DBA in today's data-driven world.

See salaries and explore the career path for Database Administrator

Data Scientist

Data Scientists use their knowledge of mathematics, statistics, and computer science to extract insights from data. They develop and apply statistical models to solve business problems and identify trends. This course provides a strong foundation in the principles of NoSQL databases, which are essential for working with large and complex datasets. By completing this course, you will gain the skills and knowledge needed to succeed as a Data Scientist in today's data-driven world.

See salaries and explore the career path for Data Scientist

Data Engineer

Data Engineers design, build, and maintain the infrastructure that stores and processes data. They work with data scientists and other stakeholders to ensure that data is available, reliable, and secure. This course provides a solid foundation in the principles of NoSQL databases, which are becoming increasingly popular for handling large and complex datasets. By completing this course, you will gain the skills and knowledge needed to succeed as a Data Engineer in today's data-driven world.

See salaries and explore the career path for Data Engineer

Software Engineer

Software Engineers design, develop, and maintain software applications. They work with users to understand their needs and develop software solutions that meet those needs. This course provides a solid foundation in the principles of NoSQL databases, which are becoming increasingly popular for handling large and complex datasets. By completing this course, you will gain the skills and knowledge needed to succeed as a Software Engineer in today's data-driven world.

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Cloud Architect

Cloud Architects design and manage cloud computing environments. They work with customers to understand their needs and develop cloud solutions that meet those needs. This course provides a solid foundation in the principles of NoSQL databases, which are becoming increasingly popular for handling large and complex datasets. By completing this course, you will gain the skills and knowledge needed to succeed as a Cloud Architect in today's data-driven world.

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DevOps Engineer

DevOps Engineers work with developers and operations teams to ensure that software applications are deployed and maintained efficiently and reliably. They automate tasks and processes to improve the efficiency of the software development lifecycle. This course provides a solid foundation in the principles of NoSQL databases, which are becoming increasingly popular for handling large and complex datasets. By completing this course, you will gain the skills and knowledge needed to succeed as a DevOps Engineer in today's data-driven world.

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Big Data Engineer

Big Data Engineers design and manage big data systems. They work with large and complex datasets to extract insights and value. This course provides a solid foundation in the principles of NoSQL databases, which are becoming increasingly popular for handling large and complex datasets. By completing this course, you will gain the skills and knowledge needed to succeed as a Big Data Engineer in today's data-driven world.

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Database Developer

Database Developers design and develop database applications. They work with users to understand their needs and develop database solutions that meet those needs. This course provides a solid foundation in the principles of NoSQL databases, which are becoming increasingly popular for handling large and complex datasets. By completing this course, you will gain the skills and knowledge needed to succeed as a Database Developer in today's data-driven world.

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Data Analyst

Data Analysts collect, clean, and analyze data to identify trends and patterns. They use their findings to make recommendations and inform decision-making. This course provides a solid foundation in the principles of NoSQL databases, which are becoming increasingly popular for handling large and complex datasets. By completing this course, you will gain the skills and knowledge needed to succeed as a Data Analyst in today's data-driven world.

See salaries and explore the career path for Data Analyst

Business Analyst

Business Analysts work with businesses to understand their needs and develop solutions that meet those needs. They use their knowledge of business processes and technology to identify and solve problems. This course provides a solid foundation in the principles of NoSQL databases, which are becoming increasingly popular for handling large and complex datasets. By completing this course, you will gain the skills and knowledge needed to succeed as a Business Analyst in today's data-driven world.

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Systems Analyst

Systems Analysts design and develop computer systems. They work with users to understand their needs and develop systems that meet those needs. This course provides a solid foundation in the principles of NoSQL databases, which are becoming increasingly popular for handling large and complex datasets. By completing this course, you will gain the skills and knowledge needed to succeed as a Systems Analyst in today's data-driven world.

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IT Manager

IT Managers plan and manage the IT infrastructure of organizations. They work with users to understand their needs and develop IT solutions that meet those needs. This course provides a solid foundation in the principles of NoSQL databases, which are becoming increasingly popular for handling large and complex datasets. By completing this course, you will gain the skills and knowledge needed to succeed as an IT Manager in today's data-driven world.

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Project Manager

Project Managers plan and manage projects. They work with stakeholders to define project goals and objectives, develop project plans, and manage project resources. This course may be useful for Project Managers who want to learn more about the principles of NoSQL databases and how they can be used to manage large and complex datasets.

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Technical Writer

Technical Writers create and maintain technical documentation. They work with subject matter experts to understand complex technologies and develop documentation that is clear and easy to understand. This course may be useful for Technical Writers who want to learn more about the principles of NoSQL databases and how they can be used to manage large and complex datasets.

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Teacher

Teachers plan and deliver instruction to students. They work with students to develop their knowledge and skills. This course may be useful for Teachers who want to learn more about the principles of NoSQL databases and how they can be used to manage large and complex datasets.

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