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URL: https://www.coursera.org/learn/gcp-professional-architect-database-big-data-and-devops-services

⇱ Database, Big Data, and DevOps Services in GCP | Coursera

Database, Big Data, and DevOps Services in GCP

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Database, Big Data, and DevOps Services in GCP

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Gain insight into a topic and learn the fundamentals.
Intermediate level

Recommended experience

5 hours to complete
Flexible schedule
Learn at your own pace
Gain insight into a topic and learn the fundamentals.
Intermediate level

Recommended experience

5 hours to complete
Flexible schedule
Learn at your own pace

What you'll learn

  • Explore GCP’s powerful database services and learn when to use Cloud SQL, Spanner, Firestore, or Bigtable

  • Transform big data into insights using BigQuery, Dataflow, and Dataproc with hands‑on labs

  • Build automated CI/CD pipelines with Cloud Build, Container Registry, and GKE

  • Architect scalable, resilient systems that optimize cost, performance, and reliability

Details to know

Shareable certificate

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Assessments

12 assignments

Taught in English

Build your subject-matter expertise

This course is part of the Google Professional Cloud Architect Prep 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

Looking to harness the full power of Google Cloud Platform?

Whether you're a developer, system administrator, or data engineer, you need to know about GCP's environment in order to make cloud solutions that work well, can grow, and are up to date. GCP's main services come to life in this lesson through hands-on demos and real-life use cases. You'll learn how to manage structured data using Cloud SQL and Spanner, as well as how to handle enormous datasets with BigQuery and Dataflow. DevOps on GCP will also be covered, including how to automate deployments using Cloud Build, manage infrastructure with Deployment Manager, and orchestrate containers with Kubernetes Engine. This Google Cloud Professional Architect course goes beyond the basics. You'll design resilient architectures, optimize performance and cost, and sharpen your skills through hands-on labs and real-world scenarios. Ideal for learners with foundational cloud knowledge, this course helps you develop the practical expertise needed to manage data and deploy applications at scale on GCP. By the end, you won't just understand GCP services—you'll be ready to apply them.

This module covers a range of topics including database services such as Cloud SQL, Cloud Spanner, Cloud Datastore, Cloud Firestore, and Cloud Bigtable. By the end, learners will understand various database types, their functionalities, and will be able to utilize different Google Cloud Platform database services effectively.

What's included

15 videos2 readings4 assignments

15 videos•Total 80 minutes
  • Database Services•8 minutes
  • Database Types•5 minutes
  • Cloud SQL•6 minutes
  • DEMO: Work with CloudSQL•7 minutes
  • Cloud SQL HA•7 minutes
  • Cloud Spanner•9 minutes
  • DEMO: Getting Started with Cloud Spanner•4 minutes
  • Cloud Datastore•3 minutes
  • DEMO: Getting Started with DataStore•2 minutes
  • Cloud Firestore •6 minutes
  • Comparison: Firestore and Datastore•4 minutes
  • Cloud Bigtable•6 minutes
  • DEMO: Getting Started with Bigtable•5 minutes
  • Use Cases of Cloud Bigtable•5 minutes
  • Databases Comparison•4 minutes
2 readings•Total 7 minutes
  • Introduction and Syllabus•2 minutes
  • Compare Database Services•5 minutes
4 assignments•Total 32 minutes
  • Fundamentals of Database Services •8 minutes
  • Database Features and High Availability•8 minutes
  • Database Types and HA•8 minutes
  • NoSQL Databases and Big Data Solutions•8 minutes

This module covers a comprehensive range of Big Data Services in Google Cloud Platform (GCP). By the end of this module, Learners will master GCP's Big Data services, implement DevOps for app development, and apply best practices for cloud app monitoring and debugging.

What's included

26 videos1 reading8 assignments

26 videos•Total 109 minutes
  • Big Data Services in GCP•1 minute
  • Pub/Sub•5 minutes
  • DEMO: Create Pub/Sub Topic and Push Messages•5 minutes
  • Data Flow•3 minutes
  • BigQuery•5 minutes
  • DEMO: Getting Started with BigQuery•2 minutes
  • Data Proc•2 minutes
  • DEMO: Create DataProc Cluster and Submit Job•4 minutes
  • Data Lifecycle•5 minutes
  • Data Lake•2 minutes
  • DevOps•7 minutes
  • Cloud Source Repository, Cloud Build, and Container Registry•8 minutes
  • DEMO: Store Application Code in Cloud Source Repository•3 minutes
  • Jenkins on GCP•6 minutes
  • Uses of Jenkins •3 minutes
  • Site Reliability Engineering (SRE) •5 minutes
  • Cloud Monitoring•3 minutes
  • DEMO: Create a Cloud Monitoring Dashboard, Uptime Check, Setup Notifications•7 minutes
  • Workspaces•5 minutes
  • Cloud Logging•5 minutes
  • Collecting Logs•3 minutes
  • Cloud Auditing and Error Reporting•4 minutes
  • DEMO: Cloud Audit Logs•7 minutes
  • Error Reporting•3 minutes
  • Cloud Debugger, Profiler, and Trace•4 minutes
  • Cloud Monitoring Scenarios and Stackdriver Mapping•1 minute
1 reading•Total 2 minutes
  • Course Synopsis •2 minutes
8 assignments•Total 76 minutes
  • Big Data and DevOps in GCP•16 minutes
  • Data Flow Integration•8 minutes
  • GCP Data Analysis & Processing•8 minutes
  • BigQuery Analysis & GCP Pipelines•8 minutes
  • CI/CD with GCP Tools•8 minutes
  • SRE Principles & Monitoring•12 minutes
  • Evaluating System Reliability•8 minutes
  • Cloud Performance Diagnostics•8 minutes

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Instructor

181 Courses•223,226 learners

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Frequently asked questions

Prerequisites include familiarity with cloud computing concepts and a basic understanding of GCP services which first course " Cloud Computing and GCP Fundamentals" belonging to the "GCP Professional Architect" specialization.

This course equips you with specialized skills in architecting solutions on Google Cloud Platform (GCP) for database management, big data processing, and implementing DevOps practices, enhancing your career prospects in cloud architecture.

Yes, a course completion certificate is allocated upon completing all graded assignments and quizzes present in the "Database, Big Data, and DevOps Services in GCP" course.

Definitely. By the end of the GCP Professional Architect course, you'll understand how to build and implement scalable solutions on GCP, which is a prerequisite for cloud architect employment.

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.

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.

Financial aid available,