Build practical skills to design, manage, and scale large-scale NoSQL databases using Google Cloud Bigtable. This course introduces Bigtable fundamentals, including its distributed architecture and ability to handle high-throughput, low-latency workloads for real-time and analytical applications.

You will learn how to analyze database capacity and usage patterns, design highly available and resilient database solutions, and implement secure connectivity and access management strategies. The course also covers monitoring, troubleshooting, and backup and recovery techniques to ensure database reliability. In addition, you will explore how to optimize database cost and performance, automate database operations, and design data migration solutions. Through hands-on demonstrations, you will learn how to add clusters, provision Bigtable instances, evaluate cost, and implement scaling strategies. By the end of this course, you will be able to design, deploy, and manage production-ready Bigtable databases using Google Cloud best practices. Who should take this course? Cloud engineers, database administrators, DevOps professionals, solution architects, and developers working with large-scale data systems.