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
Access provided by Somaiya Vidyavihar University
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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5 assignments
September 2025
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There are 2 modules in this course
Welcome to Week 1. This week, we’ll 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’ll also get familiar with Cloud Spanner as well as Cloud Bigtable. Next, we’ll explore BigQuery and its key features, Google’s powerful serverless data warehouse. You’ll learn how to manage and monitor your data analytics pipelines, build dashboards with Looker Studio. We’ll then shift focus to NoSQL databases like Firestore, and cover best practices for database capacity planning and performance optimization. You’ll also explore Cloud Dataflow, Cloud Dataproc, and Cloud DataPrep—essential tools for data processing, ETL pipelines, and workflow orchestration. Finally, we’ll introduce some of Google’s AI-powered APIs including Cloud Speech-to-Text, Vision API, and Translate API. By the end of this module, you’ll have a well-rounded understanding of Google Cloud’s 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’ll explore Google Cloud’s 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’ll 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’ll 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’ll have practical experience with storage provisioning and migration, and you’ll 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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