GCP: Database and Storage

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GCP: Database and Storage

This course is part of Exam Prep: Google Certified Professional Cloud Architect Specialization

Instructor: Whizlabs Instructor

Included with

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2 modules

Gain insight into a topic and learn the fundamentals.

Advanced level

Recommended experience

9 hours to complete

Flexible schedule

Learn at your own pace

2 modules

Gain insight into a topic and learn the fundamentals.

Advanced level

Recommended experience

9 hours to complete

Flexible schedule

Learn at your own pace

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

Tools you'll learn

Details to know

Shareable certificate

Add to your LinkedIn profile

Assessments

5 assignments

Taught in English

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Build your subject-matter expertise

This course is part of the Exam Prep: Google Certified Professional Cloud Architect Specialization

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

Learn new concepts from industry experts
Gain a foundational understanding of a subject or tool
Develop job-relevant skills with hands-on projects
Earn a shareable career certificate

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

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
Firestore Database - Overview 5 minutes
Analyze Relevant Variables to Perform Database Capacity & Usage Planning 7 minutes
Cloud Dataflow 14 minutes
Cloud Dataproc 12 minutes
Google Cloud DataPrep - Demo 5 minutes
Cloud Speech API, Cloud Vision API, Translate API 14 minutes

2 readings Total 30 minutes

Welcome to the Course 20 minutes
Overview of Databases in Google Cloud 10 minutes

2 assignments Total 155 minutes

Database Services - Knowledge Check 70 minutes
Databases in Google Cloud - Assessment 85 minutes

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

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 Services - Knowledge Check 40 minutes
Project: Basic SQL Functions in BigQuery 50 minutes
Storage in Google Cloud - Assessment 40 minutes

Earn a career certificate

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Instructor

Whizlabs Instructor

Whizlabs

146 Courses 113,790 learners

Offered by

Whizlabs

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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.

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