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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.

Harsh Karna - Pluralsight course - NoSQL Foundations: Column-family Databases
by Harsh Karna

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 Karna - Pluralsight course - NoSQL Foundations: Column-family Databases
Harsh Karna

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.

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