GCP: Database and Storage is the second course of Exam Prep: Google Certified Professional Cloud Architect Specialization. This course offers a comprehensive journey through advanced data, storage, analytics, and reliability services on Google Cloud Platform (GCP) using Cloud SQL, Bigtable, Firestore, Spanner, and BigQuery, providing architectural understanding, real-world analytics use cases, and capacity planning strategies. Learners will explore Cloud Storage, Storage Transfer Service, and Transfer Appliance, focusing on cost optimization and integrations with other cloud services. The course also introduces GCP-native data pipelines using Cloud Dataflow, Cloud Dataproc, and Cloud Dataprep, empowering learners to process and transform data at scale.
GCP: Database and Storage
This course is part of Exam Prep: Google Certified Professional Cloud Architect Specialization
Instructor: Whizlabs Instructor
Included with 
Recommended experience
What you'll learn
Develop Proficiency in Data Analytics and Visualization Tools.
Implement Scalable Data Processing and Transfer Pipelines.
Apply GCP Architecture Principles for Cost Optimization and Reliability.
Skills you'll gain
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September 2025
5 assignments
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There are 2 modules in this course
Welcome to Week 1. This week, we鈥檒l begin by exploring Cloud SQL, its supported database engines (MySQL, PostgreSQL, and SQL Server), and how it simplifies traditional relational database management in the cloud. You鈥檒l also get familiar with Cloud Spanner as well as Cloud Bigtable. Next, we鈥檒l explore BigQuery and its key features, Google鈥檚 powerful serverless data warehouse. You鈥檒l learn how to manage and monitor your data analytics pipelines, build dashboards with Looker Studio. We鈥檒l then shift focus to NoSQL databases like Firestore, and cover best practices for database capacity planning and performance optimization. You鈥檒l also explore Cloud Dataflow, Cloud Dataproc, and Cloud DataPrep鈥攅ssential tools for data processing, ETL pipelines, and workflow orchestration. Finally, we鈥檒l introduce some of Google鈥檚 AI-powered APIs including Cloud Speech-to-Text, Vision API, and Translate API. By the end of this module, you鈥檒l have a well-rounded understanding of Google Cloud鈥檚 database and analytics ecosystem, and how to architect data-driven applications that are scalable, cost-effective, and intelligent.
What's included
18 videos2 readings2 assignments
Welcome to Week 2. This week, we鈥檒l explore Google Cloud鈥檚 storage solutions and services, starting with an overview of the different storage options available on GCP, including object, block, and file storage. Through hands-on demonstrations, we鈥檒l walk through setting up Cloud Storage buckets, uploading objects, and managing access policies. You'll also be introduced to Storage Transfer Service, which enables you to efficiently migrate data from on-premises or other cloud providers to Google Cloud. We鈥檒l discuss Transfer Appliance, a secure, high-capacity hardware solution designed for large-scale data transfers when network limitations exist. By the end of this module, you鈥檒l have practical experience with storage provisioning and migration, and you鈥檒l be equipped to choose the right GCP storage solution for your use case while ensuring reliable and cost-effective data transfer strategies.
What's included
7 videos2 readings3 assignments
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Frequently asked questions
To access the course materials, assignments and to earn a Certificate, you will need to purchase the Certificate experience when you enroll in a course. You can try a Free Trial instead, or apply for Financial Aid. The course may offer 'Full Course, No Certificate' instead. This option lets you see all course materials, submit required assessments, and get a final grade. This also means that you will not be able to purchase a Certificate experience.
When you enroll in the course, you get access to all of the courses in the Specialization, and you earn a certificate when you complete the work. Your electronic Certificate will be added to your Accomplishments page - from there, you can print your Certificate or add it to your LinkedIn profile.
If you subscribed, you get a 7-day free trial during which you can cancel at no penalty. After that, we don鈥檛 give refunds, but you can cancel your subscription at any time. See our full refund policy.
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