Introduction to NoSQL Databases
Master NoSQL database fundamentals and hands-on skills with MongoDB, Cassandra, and IBM Cloudant. Perfect for database beginners.
Master NoSQL database fundamentals and hands-on skills with MongoDB, Cassandra, and IBM Cloudant. Perfect for database beginners.
This course cannot be purchased separately - to access the complete learning experience, graded assignments, and earn certificates, you'll need to enroll in the full IBM Data Engineering Professional Certificate program. You can audit this specific course for free to explore the content, which includes access to course materials and lectures. This allows you to learn at your own pace without any financial commitment.
4.6
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English
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What you'll learn
Differentiate between NoSQL database categories
Perform CRUD operations in MongoDB
Execute keyspace and table operations in Cassandra
Work with distributed database systems
Implement database indexing and aggregation
Understand NoSQL use cases and limitations
Skills you'll gain
This course includes:
3.65 Hours PreRecorded video
15 assignments
Access on Mobile, Tablet, Desktop
FullTime access
Shareable certificate
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There are 5 modules in this course
This comprehensive course introduces students to NoSQL databases and Database-as-a-Service (DaaS) offerings. The curriculum covers the four main categories of NoSQL databases: document, key-value, column, and graph. Students gain hands-on experience with popular platforms like MongoDB, Cassandra, and IBM Cloudant, learning essential operations including database creation, querying, indexing, and data management. The course emphasizes practical skills through labs and projects, teaching students when and how to effectively use NoSQL solutions in modern applications.
Introducing NoSQL
Module 1 · 2 Hours to complete
Introducing MongoDB: An Open-Source NoSQL Database
Module 2 · 4 Hours to complete
Introducing Apache Cassandra: An Open-Source NoSQL Database
Module 3 · 3 Hours to complete
Final Project: Working with NoSQL Databases
Module 4 · 3 Hours to complete
[Optional] Introducing IBM Cloudant: A NoSQL DBaaS
Module 5 · 4 Hours to complete
Fee Structure
Instructors
Technology Education and Skills Development Leader at IBM
Rav Ahuja serves as the Chief Content Officer and Global Program Director at IBM Skills Network, where he leads curriculum creation, growth strategy, and partner programs. After earning his B.Eng. from McGill University and MBA from the University of Western Ontario, he co-founded Cognitive Class, an IBM initiative focused on democratizing access to in-demand technology skills. Based at the IBM Canada Lab in Toronto, he specializes in developing instructional solutions for AI, Data Science, Cloud Computing, and Cybersecurity. His impact on technology education is evidenced through his role as architect of numerous IBM Professional Certificates and instructor for over 35 online courses, including popular offerings like "What is Data Science?", "Introduction to Cloud Computing," and "Introduction to Artificial Intelligence (AI)." His courses have reached hundreds of thousands of learners worldwide, with "What is Data Science?" alone enrolling over 638,000 students. His recent work includes developing new Generative AI courses and career guidance content for IBM's Professional Certificate programs, demonstrating his ongoing commitment to preparing learners for emerging technology careers
Data Engineering and Technology Education Expert
Ramesh Sannareddy serves as a freelance technology educator and content developer, bringing over two and a half decades of experience in Information Technology Infrastructure Management, Database Administration, and Information Integration. After earning his Bachelor's Degree in Information Systems from Birla Institute of Technology, Pilani, he built an impressive career working with leading technology companies including Intergraph, Genpact, HCL, and Microsoft. Currently focused on his passion for teaching, he specializes in developing and delivering courses in Data Science, Machine Learning, Programming, and Databases. His educational impact is evidenced through his extensive course portfolio, which includes specialized programs in Data Engineering, Data Warehousing, Linux Commands, Machine Learning with Apache Spark, and Python Programming. His teaching reaches over 11,800 learners globally, maintaining a strong 4.5 rating for his educational content
Testimonials
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4.6 course rating
278 ratings
Frequently asked questions
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