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Select a Google Cloud Database for Your Applications
This course is part of Google Cloud Database Engineer Specialization.
Course Cost
Free course
Beginner
Skill Level
7 Hours
Self-paced lessons
This course teaches you to analyze and choose the right database for your needs to effectively develop applications on Google Cloud. You will explore both relational and NoSQL databases, diving deep into Cloud SQL, AlloyDB, and Spanner. The course covers how to align database strengths with your application requirements, including those of generative AI applications. You will gain hands-on experience configuring Vector Search in your database of choice and learn the process of migrating applications to the cloud. The curriculum introduces Google Cloud databases commonly used for application development, explains similarities and differences between relational and NoSQL databases, and lists common use cases for Cloud SQL, AlloyDB, Spanner, Bigtable, Firestore, and Memorystore. You will explore database requirements and considerations for different applications, including generative AI applications, and learn the process for database selection.
English
What you'll learn
Identify Google Cloud databases commonly used for application development
Describe common application design patterns and select a Google Cloud database suitable for your application characteristics
Use Cloud SQL, AlloyDB, or Spanner to build generative AI applications
Configure Vector Search in AlloyDB, Cloud SQL, or Spanner
Migrate applications to the cloud using Database Migration Service
Align database strengths with application requirements including generative AI needs
Skills you'll gain
This course includes:
135 Minutes PreRecorded video
2 assignments
Access on Mobile, Tablet, Desktop
FullTime access
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There are 4 modules in this course
This course provides comprehensive training on selecting and implementing Google Cloud database solutions for application development. Students learn to distinguish between relational and NoSQL databases, understanding when to use Cloud SQL, AlloyDB, Spanner, Bigtable, Firestore, and Memorystore. The curriculum covers both transactional and analytical workloads, teaching key factors for database selection and special considerations for generative AI applications. Through hands-on labs, learners configure Vector Search in their chosen database platform and practice migrating applications using Database Migration Service, gaining practical experience in cloud database implementation.
Introduction
Module 1 · 15 Minutes to complete
Google Cloud database solutions for developing applications
Module 2 · 59 Minutes to complete
Which database is right for your application?
Module 3 · 1 Hours to complete
Build generative AI apps with Google Cloud databases
Module 4 · 4 Hours to complete
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Faculties
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Frequently asked Questions
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