Database, Big Data, and DevOps Services in GCP

Database, Big Data, and DevOps Services in GCP

This course is part of GCP Professional Architect Specialization

Instructor: LearnKartS

Included with Coursera Plus

Learn more

2 modules

Gain insight into a topic and learn the fundamentals.

Intermediate level

Recommended experience

5 hours to complete

3 weeks at 1 hour a week

Flexible schedule

Learn at your own pace

2 modules

Gain insight into a topic and learn the fundamentals.

Intermediate level

Recommended experience

5 hours to complete

3 weeks at 1 hour a week

Flexible schedule

Learn at your own pace

What you'll learn

Understand different types of databases available in GCP, including Cloud SQL, Cloud Spanner, Cloud Datastore, and Cloud Firestore.
Learn about Big Data services, BigQuery for data warehousing and analytics, and Data Proc for managing clusters and running Apache Hadoop.
Explore DevOps practices using tools like Cloud Source Repository for code management, Cloud Build for continuous integration and delivery.
Gain insights into Cloud Monitoring for creating dashboards and setting up notifications, Cloud Logging for collecting and analyzing log data.

Details to know

Shareable certificate

Add to your LinkedIn profile

Assessments

12 assignments

Taught in English

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Build your subject-matter expertise

This course is part of the GCP Professional 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

Earn a career certificate

Add this credential to your LinkedIn profile, resume, or CV

Share it on social media and in your performance review

There are 2 modules in this course

Welcome to the Database, Big Data, and DevOps Services in Google Cloud Platform (GCP) course!

This course is designed to equip learners with comprehensive knowledge and practical skills in leveraging GCP's database, big data, and DevOps services. Whether you're a developer, system administrator, or data engineer, this course will delve into the essential tools and techniques offered by GCP to manage and optimize data storage, processing, and deployment workflows. Prerequisites include familiarity with cloud computing concepts and basic understanding of GCP services. By the end of this course, you will: - Gain a deep understanding of GCP's database services, including Cloud SQL, Cloud Spanner, and Firestore, and their use cases. - Master big data processing and analytics using GCP tools such as BigQuery, Dataflow, and Dataproc. Implement effective DevOps practices on GCP, integrating tools like Cloud Build, Cloud Deployment Manager, and Kubernetes Engine. - Design resilient and scalable architectures for databases and big data solutions on GCP. - Optimize performance and cost-efficiency in managing large-scale data operations on GCP. - Develop hands-on skills through practical labs, exercises, and real-world scenarios. - Prepare for Google Cloud certifications related to database management, big data, or DevOps. This course is designed with comprehensive video lectures, hands-on demos, and practical assignments to ensure a thorough understanding and practical application of GCP's database, big data, and DevOps services.

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 assignments1 discussion prompt

15 videosTotal 80 minutes

Database Services7 minutesPreview module
Database Types4 minutes
Cloud SQL5 minutes
DEMO: Work with CloudSQL7 minutes
Cloud SQL HA6 minutes
Cloud Spanner9 minutes
DEMO: Getting Started with Cloud Spanner3 minutes
Cloud Datastore2 minutes
DEMO: Getting Started with DataStore2 minutes
Cloud Firestore 5 minutes
Comparison: Firestore and Datastore4 minutes
Cloud Bigtable5 minutes
DEMO: Getting Started with Bigtable4 minutes
Use Cases of Cloud Bigtable4 minutes
Databases Comparison3 minutes

2 readingsTotal 7 minutes

Introduction and Syllabus2 minutes
Compare Database Services5 minutes

4 assignmentsTotal 32 minutes

Fundamentals of Database Services 8 minutes
Database Features and High Availability8 minutes
Database Types and HA8 minutes
NoSQL Databases and Big Data Solutions8 minutes

1 discussion promptTotal 5 minutes

Database and Bigtable5 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 assignments1 discussion prompt

26 videosTotal 108 minutes

Big Data Services in GCP1 minutePreview module
Pub/Sub4 minutes
DEMO: Create Pub/Sub Topic and Push Messages4 minutes
Data Flow3 minutes
BigQuery5 minutes
DEMO: Getting Started with BigQuery2 minutes
Data Proc2 minutes
DEMO: Create DataProc Cluster and Submit Job3 minutes
Data Lifecycle5 minutes
Data Lake1 minute
DevOps6 minutes
Cloud Source Repository, Cloud Build, and Container Registry8 minutes
DEMO: Store Application Code in Cloud Source Repository3 minutes
Jenkins on GCP5 minutes
Uses of Jenkins 2 minutes
Site Reliability Engineering (SRE) 4 minutes
Cloud Monitoring3 minutes
DEMO: Create a Cloud Monitoring Dashboard, Uptime Check, Setup Notifications7 minutes
Workspaces5 minutes
Cloud Logging5 minutes
Collecting Logs3 minutes
Cloud Auditing and Error Reporting3 minutes
DEMO: Cloud Audit Logs6 minutes
Error Reporting2 minutes
Cloud Debugger, Profiler, and Trace3 minutes
Cloud Monitoring Scenarios and Stackdriver Mapping1 minute

1 readingTotal 2 minutes

Course Synopsis 2 minutes

8 assignmentsTotal 76 minutes

Big Data and DevOps in GCP16 minutes
Data Flow Integration8 minutes
GCP Data Analysis & Processing8 minutes
BigQuery Analysis & GCP Pipelines8 minutes
CI/CD with GCP Tools8 minutes
SRE Principles & Monitoring12 minutes
Evaluating System Reliability8 minutes
Cloud Performance Diagnostics8 minutes

1 discussion promptTotal 5 minutes

Synergy between Big Data and DevOps5 minutes

Instructor

LearnKartS

69 Courses48,057 learners

Offered by

LearnKartS

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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.

Access to lectures and assignments depends on your type of enrollment. If you take a course in audit mode, you will be able to see most course materials for free. To access graded assignments and to earn a Certificate, you will need to purchase the Certificate experience, during or after your audit. If you don't see the audit option:

The course may not offer an audit option. 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. If you only want to read and view the course content, you can audit the course for free.

Database, Big Data, and DevOps Services in GCP

What you'll learn

Details to know

See how employees at top companies are mastering in-demand skills

Build your subject-matter expertise

Earn a career certificate

There are 2 modules in this course

Database Services

What's included

Big Data and DevOps in GCP

What's included

Instructor

Offered by

Recommended if you're interested in Cloud Computing

Data Engineering, Big Data and ML on Google Cloud en Español

Modernizing Data Lakes and Data Warehouses with GCP en Español

Dataplex by Google Cloud

Google Cloud Big Data and ML Fundamentals - Italiano

Why people choose Coursera for their career

New to Cloud Computing? Start here.

Open new doors with Coursera Plus

Advance your career with an online degree

Join over 3,400 global companies that choose Coursera for Business

Frequently asked questions

What are the prerequisites for this course?

What are the key benefits of taking this course?

Is a certificate provided upon completion of the course?

More questions