Welcome to the Database, Big Data, and DevOps Services in Google Cloud Platform (GCP) course!
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Welcome to the Database, Big Data, and DevOps Services in Google Cloud Platform (GCP) 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.
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Syllabus
Database 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.
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Syllabus
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Activities
Join a study group to discuss course concepts
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Enhance understanding by engaging in discussions and sharing knowledge with peers in a study group.
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Find or join a study group with other students taking the same course.
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Meet regularly to discuss lecture materials, assignments, and practice problems.
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Share notes, insights, and resources with group members.
Follow a tutorial on SQL Data Modeling
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Reinforce understanding of database structures by following a hands-on tutorial on SQL Data Modeling.
Browse courses on
Database Services
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Find a comprehensive tutorial on SQL Data Modeling.
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Go through the tutorial step-by-step, applying the concepts to practical examples.
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Create a database schema based on the principles learned in the tutorial.
Practice SQL queries and DML statements
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Enhance proficiency in SQL by practicing queries and DML statements.
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SQL Queries
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Identify a dataset or database to work with.
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Write SQL queries to retrieve, filter, and manipulate data.
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Practice inserting, updating, and deleting data using DML statements.
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Deploy a serverless application on Google Cloud Functions
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Gain hands-on experience in deploying and managing serverless applications by building one on Google Cloud Functions.
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Serverless Computing
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Design and develop the serverless function.
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Configure and deploy the function to Google Cloud Functions.
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Test and monitor the deployed function.
Build a data dashboard using Google Data Studio
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Develop practical skills in data visualization and analytics by creating a data dashboard with Google Data Studio.
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Data Analytics
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Gather and prepare the necessary data sources.
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Explore the data and identify key metrics.
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Design and build interactive dashboards using Google Data Studio.
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Share and present the dashboard to stakeholders.
Review 'Designing Data-Intensive Applications' by Martin Kleppmann
Show steps
Gain in-depth knowledge of data modeling and scalability considerations by reviewing a leading book on data-intensive application design.
View
Secret Colors
on Amazon
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Read the chapters relevant to the course topics.
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Take notes and highlight key concepts.
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Apply the principles to your own data management projects.
Participate in a Cloud Data Challenge
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Test your skills and gain recognition by participating in a Cloud Data Challenge that aligns with the course topics.
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Data Analytics
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Identify and register for relevant Cloud Data Challenges.
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Gather a team or work independently to solve the challenge problems.
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Develop and submit your solutions.
Contribute to an open-source project related to Cloud Data Services
Show steps
Deepen understanding and make meaningful contributions by participating in an open-source project that aligns with the course content.
Browse courses on
Database Services
Show steps
-
Identify an open-source project that aligns with your interests.
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Review the project documentation and codebase.
-
Identify areas where you can make contributions.
-
Create and submit pull requests with your contributions.
Join a study group to discuss course concepts
Show steps
Enhance understanding by engaging in discussions and sharing knowledge with peers in a study group.
Show steps
- Find or join a study group with other students taking the same course.
- Meet regularly to discuss lecture materials, assignments, and practice problems.
- Share notes, insights, and resources with group members.
Follow a tutorial on SQL Data Modeling
Show steps
Reinforce understanding of database structures by following a hands-on tutorial on SQL Data Modeling.
Browse courses on
Database Services
Show steps
- Find a comprehensive tutorial on SQL Data Modeling.
- Go through the tutorial step-by-step, applying the concepts to practical examples.
- Create a database schema based on the principles learned in the tutorial.
Practice SQL queries and DML statements
Show steps
Enhance proficiency in SQL by practicing queries and DML statements.
Browse courses on
SQL Queries
Show steps
- Identify a dataset or database to work with.
- Write SQL queries to retrieve, filter, and manipulate data.
- Practice inserting, updating, and deleting data using DML statements.
Deploy a serverless application on Google Cloud Functions
Show steps
Gain hands-on experience in deploying and managing serverless applications by building one on Google Cloud Functions.
Browse courses on
Serverless Computing
Show steps
- Design and develop the serverless function.
- Configure and deploy the function to Google Cloud Functions.
- Test and monitor the deployed function.
Build a data dashboard using Google Data Studio
Show steps
Develop practical skills in data visualization and analytics by creating a data dashboard with Google Data Studio.
Browse courses on
Data Analytics
Show steps
- Gather and prepare the necessary data sources.
- Explore the data and identify key metrics.
- Design and build interactive dashboards using Google Data Studio.
- Share and present the dashboard to stakeholders.
Review 'Designing Data-Intensive Applications' by Martin Kleppmann
Show steps
Gain in-depth knowledge of data modeling and scalability considerations by reviewing a leading book on data-intensive application design.
View
Secret Colors
on Amazon
Show steps
- Read the chapters relevant to the course topics.
- Take notes and highlight key concepts.
- Apply the principles to your own data management projects.
Participate in a Cloud Data Challenge
Show steps
Test your skills and gain recognition by participating in a Cloud Data Challenge that aligns with the course topics.
Browse courses on
Data Analytics
Show steps
- Identify and register for relevant Cloud Data Challenges.
- Gather a team or work independently to solve the challenge problems.
- Develop and submit your solutions.
Contribute to an open-source project related to Cloud Data Services
Show steps
Deepen understanding and make meaningful contributions by participating in an open-source project that aligns with the course content.
Browse courses on
Database Services
Show steps
- Identify an open-source project that aligns with your interests.
- Review the project documentation and codebase.
- Identify areas where you can make contributions.
- Create and submit pull requests with your contributions.
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