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GCP: Database and Storage

本课程是 Exam Prep: Google Certified Professional Cloud Architect 专项课程的一部分

位教师：Whizlabs Instructor

包含在中

了解更多

2个模块

深入了解一个主题并学习基础知识。

高级设置等级

推荐体验

9 小时完成

灵活的计划

自行安排学习进度

2个模块

深入了解一个主题并学习基础知识。

高级设置等级

推荐体验

9 小时完成

灵活的计划

自行安排学习进度

您将学到什么

Develop Proficiency in Data Analytics and Visualization Tools.
Implement Scalable Data Processing and Transfer Pipelines.
Apply GCP Architecture Principles for Cost Optimization and Reliability.

您将获得的技能

您将学习的工具

要了解的详细信息

可分享的证书

添加到您的领英档案

作业

5 项作业

授课语言：英语（English）

91% of learners achieved a positive career outcome

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积累特定领域的专业知识

本课程是 Exam Prep: Google Certified Professional Cloud Architect 专项课程专项课程的一部分

在注册此课程时，您还会同时注册此专项课程。

向行业专家学习新概念
获得对主题或工具的基础理解
通过实践项目培养工作相关技能
获得可共享的职业证书

该课程共有2个模块

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.

单元详情

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.

涵盖的内容

18个视频2篇阅读材料2个作业

18个视频总计132分钟

Cloud SQL - Overview7分钟
Supported Database Engines by Cloud SQL3分钟
Cloud Spanner - Overview8分钟
BigTable - Overview6分钟
Optimizing Costs in Google Cloud Storage5分钟
Google Cloud Architecture Framework: Reliability7分钟
Chaos engineering & Penetration testing in GCP Overview4分钟
What is Google Cloud BigQuery?8分钟
What is Google BigQuery Analytics and Monitoring?6分钟
BigQuery: Analyze data with Looker Studio - Demo5分钟
BigQuery Views and Types of Views9分钟
BigQuery : Interactive or batch query jobs - Demo8分钟
Firestore Database - Overview5分钟
Analyze Relevant Variables to Perform Database Capacity & Usage Planning7分钟
Cloud Dataflow14分钟
Cloud Dataproc12分钟
Google Cloud DataPrep - Demo5分钟
Cloud Speech API, Cloud Vision API, Translate API14分钟

2篇阅读材料总计30分钟

Welcome to the Course20分钟
Overview of Databases in Google Cloud10分钟

2个作业总计155分钟

Database Services - Knowledge Check70分钟
Databases in Google Cloud - Assessment85分钟

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.

涵盖的内容

7个视频2篇阅读材料3个作业

7个视频总计52分钟

Tranferring Services15分钟
GCP Storage Options Overview7分钟
GCP Cloud Storage - Overview8分钟
GCP Cloud Storage - Demo5分钟
Cloud Storage - Overview and Integration with Google Cloud services and tools7分钟
Storage Transfer Service - Overview6分钟
Transfer Appliance - Overview5分钟