Google Cloud Bigtable: Designing and Operating Databases

This course is part of Exam Prep: Google Cloud Professional Cloud Database Engineer Specialization

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2 modules

Gain insight into a topic and learn the fundamentals.

Intermediate level

Recommended experience

6 hours to complete

Flexible schedule

Learn at your own pace

2 modules

Gain insight into a topic and learn the fundamentals.

Intermediate level

Recommended experience

6 hours to complete

Flexible schedule

Learn at your own pace

What you'll learn

Design scalable and highly available Bigtable architectures for large-scale data workloads
Deploy, manage, and scale Bigtable clusters for real-world cloud applications
Optimize database performance, cost, and reliability using Google Cloud Bigtable

Skills you'll gain

Tools you'll learn

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This course is part of the Exam Prep: Google Cloud Professional Cloud Database Engineer Specialization

When you enroll in this course, you'll also be enrolled in this Specialization.

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Gain a foundational understanding of a subject or tool
Develop job-relevant skills with hands-on projects
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There are 2 modules in this course

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.

Welcome to Week 1 of the course. This week focuses on understanding the architecture and reliability foundations of Google Cloud Bigtable. You will begin by exploring the Bigtable overview and how it is designed to support large-scale NoSQL workloads. You will then learn how to analyze database capacity and usage planning variables to ensure efficient performance for high-throughput applications. Next, you will explore how to evaluate high availability and disaster recovery strategies, helping ensure that Bigtable deployments remain reliable and resilient. This week also covers how applications connect to Bigtable, along with key considerations for database connectivity and access management in Google Cloud environments. You will also learn how to evaluate appropriate database solutions on Google Cloud. Finally, you will explore how to configure database monitoring and troubleshooting mechanisms and design backup and recovery solutions to maintain database reliability and operational stability. By the end of this week, you will understand how to design reliable Bigtable database architectures in Google Cloud environments.

What's included

8 videos3 readings2 assignments

8 videosTotal 57 minutes

BigTable - Overview6 minutes
Analyze Relevant Variables to Perform Database Capacity and Usage Planning9 minutes
Evaluate Database High Availability and Disaster Recovery Options7 minutes
Determine how applications will connect to the Database8 minutes
Evaluate appropriate Database solutions on Google Cloud6 minutes
Determine Database Connectivity and Access Management Considerations5 minutes
Configure Database Monitoring and Troubleshooting8 minutes
Design Database Backup and Recovery Solutions7 minutes

3 readingsTotal 40 minutes

Specialization Course Introduction10 minutes
Welcome to the Course20 minutes
Bigtable: Architecture and Reliability on Google Cloud - Course Overview10 minutes

2 assignmentsTotal 85 minutes

Database Architecture and Reliability - Practice Assessment35 minutes
Bigtable DB: Architecture and Reliability on Google Cloud - Graded Assessment50 minutes

Welcome to Week 2 of the course. This week focuses on optimizing and scaling Bigtable databases to support large-scale and high-performance workloads. You will begin by learning how to optimize database cost and performance, ensuring efficient resource utilization in Google Cloud. Next, you will explore solutions to automate database management tasks, helping improve operational efficiency and reduce manual intervention. You will also learn how to design and implement data migration solutions and apply concepts to build highly scalable and available Bigtable databases. The week also includes practical demonstrations where you will explore adding clusters, provisioning Bigtable instances, evaluating cost, and implementing scaling strategies. By the end of this week, you will understand how to optimize, scale, and manage Bigtable databases effectively in Google Cloud environments.

What's included

8 videos2 readings2 assignments

8 videosTotal 48 minutes

Optimize Database Cost And Performance10 minutes
Determine Solutions To Automate Database Tasks5 minutes
Design and Implement Data Migration Solutions6 minutes
Apply Concepts to Implement Highly Scalable and Available Databases in Google Cloud7 minutes
Demo: Adding Cluster in BigTable3 minutes
Demo: Big Table Provisioning5 minutes
Demo: Cost of Running BigTable Database7 minutes
Demo: Scaling in BigTable5 minutes

2 readingsTotal 30 minutes

AlloyDB: Performance and Scalability on Google Cloud - Overview10 minutes
Conclusion, What's Next, Job Roles, and Best Practices20 minutes

2 assignmentsTotal 85 minutes

Databases Optimizing and Scaling- Practice Assessment35 minutes
Bigtable DB: Performance and Scalability on Google Cloud - Graded Assessment50 minutes

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154 Courses120,598 learners

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