- Course
- Data
NoSQL Foundations: Column-family Databases
Column-family databases are powerful for high-throughput, scalable applications. This course teaches you how to model, write, and query data efficiently using systems like Cassandra, ScyllaDB, and HBase.
What you'll learn
Many modern systems, from IoT platforms to analytics engines, demand scalable databases optimized for fast writes and time-based access. Traditional relational databases struggle under such loads.
In this course, NoSQL Foundations: Column-family Databases, you’ll gain the ability to design, write to, and query wide-column NoSQL systems that power real-time analytics and operational workloads.
First, you’ll explore the core structure of column-family databases and how they compare to relational or document models.
Next, you’ll discover the design patterns, scaling models, and consistency trade-offs involved in working with distributed wide-column stores.
Finally, you’ll learn how to evaluate and work with real-world tools like Apache Cassandra, ScyllaDB, and HBase to solve real business challenges.
When you’re finished with this course, you’ll have the skills and knowledge of column-family databases needed to build scalable, resilient, and high-performance data solutions.
Table of contents
About the author
Harsh is a software engineer with 4+ years in Data Engineering, Data Science, and Gen AI, skilled in big data, cloud platforms, and data frameworks. He’s also passionate about travel.