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There are 2 modules in this course
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.
This course is ideal for:
- Cloud engineers and DevOps professionals moving into architecture roles.
- System administrators and solution architects aiming to validate their GCP skills.
- IT professionals seeking to grow into high-impact cloud design and governance roles.
- Anyone who wants to master how to design scalable, secure, and resilient solutions on Google Cloud.
By the end of the course, you will be able to:
- Understand Google Cloud’s Core Managed Databases and Storage Options.
- Develop Proficiency in Data Analytics and Visualization Tools.
- Implement Scalable Data Processing and Transfer Pipelines.
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
Show info about module content
18 videos•Total 132 minutes
Cloud SQL - Overview•7 minutes
Supported Database Engines by Cloud SQL•3 minutes
Cloud Spanner - Overview•8 minutes
BigTable - Overview•6 minutes
Optimizing Costs in Google Cloud Storage•5 minutes
Google Cloud Architecture Framework: Reliability•7 minutes
Chaos engineering & Penetration testing in GCP Overview•4 minutes
What is Google Cloud BigQuery?•8 minutes
What is Google BigQuery Analytics and Monitoring?•6 minutes
BigQuery: Analyze data with Looker Studio - Demo•5 minutes
BigQuery Views and Types of Views•9 minutes
BigQuery : Interactive or batch query jobs - Demo•8 minutes
Overview of Databases in Google Cloud•10 minutes
2 assignments•Total 155 minutes
Databases in Google Cloud - Assessment•85 minutes
Database Services - Knowledge Check•70 minutes
Storage in Google Cloud
Module 2•3 hours to complete
Module details
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
Show info about module content
7 videos•Total 52 minutes
Tranferring Services•15 minutes
GCP Storage Options Overview•7 minutes
GCP Cloud Storage - Overview•8 minutes
GCP Cloud Storage - Demo•5 minutes
Cloud Storage - Overview and Integration with Google Cloud services and tools•7 minutes
Storage Transfer Service - Overview•6 minutes
Transfer Appliance - Overview•5 minutes
2 readings•Total 20 minutes
Overview of Storage in Google Cloud•10 minutes
Course Conclusion•10 minutes
3 assignments•Total 130 minutes
Storage in Google Cloud - Assessment•40 minutes
Storage Services - Knowledge Check•40 minutes
Project: Basic SQL Functions in BigQuery•50 minutes
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What will I get if I subscribe to this Specialization?
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.
Is financial aid available?
Yes. In select learning programs, you can apply for financial aid or a scholarship if you can’t afford the enrollment fee. If fin aid or scholarship is available for your learning program selection, you’ll find a link to apply on the description page.