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Google Cloud Training
This is a self-paced lab that takes place in the Google Cloud console.
In this lab, you will review the case study application, an online Quiz. You will store application data for the Quiz application in Cloud Datastore.
Register for this course and see more details by visiting:
OpenCourser.com/course/adfocw/app
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What's inside
Syllabus
App Dev: Storing Application Data in Cloud Datastore - Python
Good to know
Good to know
Know what's good ,
what to watch for , and
possible dealbreakers
Introduces learners to Google Cloud Datastore, which is an industry-standard tool for storing application data
Taught by Google Cloud Training, who are recognized for their expertise in cloud computing
Provides hands-on labs, which enables learners to apply their knowledge and skills
May require learners to have some prior experience with Python
Save this course
Save App Dev: Storing Application Data in Cloud Datastore - Python to your list so you can find it easily later:
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Activities
Be better prepared
before
your course. Deepen your understanding
during
and
after
it. Supplement your coursework and achieve mastery of the topics covered
in App Dev: Storing Application Data in Cloud Datastore - Python with these
activities:
Compile a Resource Collection for Cloud Datastore Development
Show steps
Gather and organize valuable resources, such as documentation, tutorials, and code samples, to support your learning and development in Cloud Datastore.
Show steps
-
Create a digital or physical notebook or folder
-
Collect and categorize resources from various sources
-
Annotate and organize your resources for easy reference
Review Data Modeling Fundamentals
Show steps
Brush up on data modeling concepts and techniques to enhance your understanding of Cloud Datastore.
Browse courses on
Data Modeling
Show steps
-
Review entity-relationship diagrams (ERDs) and their components
-
Explore different data modeling approaches, such as hierarchical, network, and object-oriented models
-
Practice creating ERDs for simple scenarios
Explore Google Cloud Datastore Documentation
Show steps
Delve into the official Google Cloud Datastore documentation to expand your knowledge of its features and capabilities.
Show steps
-
Visit the Datastore documentation page
-
Read through the concepts, tutorials, and reference material
-
Seek additional resources or online courses if needed
Five other activities
Expand to see all activities and additional details
Show all eight activities
Create a Quiz Application with Real-World Data
Show steps
Build a functional Quiz application using Cloud Datastore to solidify your skills in data modeling and storage.
Show steps
-
Design the data model for your Quiz application, including entities and properties
-
Create and populate your Cloud Datastore entities with real-world data
-
Implement CRUD (Create, Read, Update, Delete) operations for your application
Host a Study Group on Datastore Best Practices
Show steps
Collaborate with classmates to discuss and share best practices for data modeling and management in Cloud Datastore.
Show steps
-
Organize a regular study group with fellow learners
-
Choose a topic related to Datastore best practices
-
Prepare a presentation or lead a discussion on the topic
-
Encourage participation and knowledge sharing
Become a Mentor for Beginning Cloud Datastore Users
Show steps
Share your knowledge and support others in their learning journey by mentoring new users of Cloud Datastore.
Show steps
-
Join a community forum or online group
-
Identify opportunities to provide guidance and assistance to others
-
Share your insights and experiences to help others learn and grow
-
Provide encouragement and motivation to those you mentor
Develop a Data Validation and Security Plan
Show steps
Create a comprehensive plan to ensure the accuracy, integrity, and security of your Quiz application data in Cloud Datastore.
Show steps
-
Define data validation rules to prevent invalid or malicious data from entering your datastore
-
Implement security measures, such as authentication, authorization, and encryption, to protect your data
-
Establish a backup and recovery strategy to mitigate data loss or corruption
Participate in a Cloud Datastore Hackathon
Show steps
Challenge yourself and demonstrate your skills by participating in a Cloud Datastore hackathon.
Show steps
-
Find a hackathon that aligns with your interests
-
Form a team or collaborate with others
-
Develop an innovative project that leverages Cloud Datastore
-
Present your project and compete for recognition
Compile a Resource Collection for Cloud Datastore Development
Show steps
Gather and organize valuable resources, such as documentation, tutorials, and code samples, to support your learning and development in Cloud Datastore.
Show steps
Show steps
Show steps
- Create a digital or physical notebook or folder
- Collect and categorize resources from various sources
- Annotate and organize your resources for easy reference
Review Data Modeling Fundamentals
Show steps
Brush up on data modeling concepts and techniques to enhance your understanding of Cloud Datastore.
Browse courses on
Data Modeling
Show steps
Show steps
Show steps
- Review entity-relationship diagrams (ERDs) and their components
- Explore different data modeling approaches, such as hierarchical, network, and object-oriented models
- Practice creating ERDs for simple scenarios
Explore Google Cloud Datastore Documentation
Show steps
Delve into the official Google Cloud Datastore documentation to expand your knowledge of its features and capabilities.
Show steps
Show steps
Show steps
- Visit the Datastore documentation page
- Read through the concepts, tutorials, and reference material
- Seek additional resources or online courses if needed
Five other activities
Expand to see all activities and additional details
Show all eight activities
Create a Quiz Application with Real-World Data
Show steps
Build a functional Quiz application using Cloud Datastore to solidify your skills in data modeling and storage.
Show steps
Show steps
Show steps
- Design the data model for your Quiz application, including entities and properties
- Create and populate your Cloud Datastore entities with real-world data
- Implement CRUD (Create, Read, Update, Delete) operations for your application
Host a Study Group on Datastore Best Practices
Show steps
Collaborate with classmates to discuss and share best practices for data modeling and management in Cloud Datastore.
Show steps
Show steps
Show steps
- Organize a regular study group with fellow learners
- Choose a topic related to Datastore best practices
- Prepare a presentation or lead a discussion on the topic
- Encourage participation and knowledge sharing
Become a Mentor for Beginning Cloud Datastore Users
Show steps
Share your knowledge and support others in their learning journey by mentoring new users of Cloud Datastore.
Show steps
Show steps
Show steps
- Join a community forum or online group
- Identify opportunities to provide guidance and assistance to others
- Share your insights and experiences to help others learn and grow
- Provide encouragement and motivation to those you mentor
Develop a Data Validation and Security Plan
Show steps
Create a comprehensive plan to ensure the accuracy, integrity, and security of your Quiz application data in Cloud Datastore.
Show steps
Show steps
Show steps
- Define data validation rules to prevent invalid or malicious data from entering your datastore
- Implement security measures, such as authentication, authorization, and encryption, to protect your data
- Establish a backup and recovery strategy to mitigate data loss or corruption
Participate in a Cloud Datastore Hackathon
Show steps
Challenge yourself and demonstrate your skills by participating in a Cloud Datastore hackathon.
Show steps
Show steps
Show steps
- Find a hackathon that aligns with your interests
- Form a team or collaborate with others
- Develop an innovative project that leverages Cloud Datastore
- Present your project and compete for recognition
Career center
Learners who complete App Dev: Storing Application Data in Cloud Datastore - Python will develop knowledge and skills
that may be useful to these careers:
Information Security Analyst
Information Security Analyst
Information Security Analysts are responsible for protecting computer systems and networks from unauthorized access, use, disclosure, disruption, modification, or destruction. They use their expertise in information security, cybersecurity, and risk management to identify and mitigate security risks. This course on App Dev: Storing Application Data in Cloud Datastore - Python can be useful for aspiring Information Security Analysts as it provides a foundation in data storage and management, which are essential skills for protecting data from unauthorized access.
Data Engineer
Data Engineer
Data Engineers are responsible for building and maintaining data pipelines. They use their expertise in data engineering, data integration, and data quality to create data pipelines that can handle large volumes of data. This course on App Dev: Storing Application Data in Cloud Datastore - Python can be useful for aspiring Data Engineers as it provides a foundation in data storage and management, which are essential skills for building and maintaining data pipelines.
Cloud Engineer
Cloud Engineer
Cloud Engineers are responsible for designing, deploying, and managing cloud computing solutions. They use their expertise in cloud computing platforms, cloud services, and cloud security to create cloud solutions that meet the needs of businesses. This course on App Dev: Storing Application Data in Cloud Datastore - Python can be useful for aspiring Cloud Engineers as it provides a foundation in data storage and management, which are essential skills for working with cloud computing platforms.
Data Architect
Data Architect
Data Architects are responsible for designing and managing the architecture of data systems. They use their expertise in data modeling, data integration, and data governance to create data systems that meet the needs of the business. This course on App Dev: Storing Application Data in Cloud Datastore - Python can be useful for aspiring Data Architects as it provides a foundation in data storage and management, which are essential skills for designing and managing data systems.
Database Administrator
Database Administrator
Database Administrators are responsible for managing and maintaining databases. They use their expertise in database management systems, data modeling, and data security to ensure that databases are reliable, performant, and secure. This course on App Dev: Storing Application Data in Cloud Datastore - Python can be useful for aspiring Database Administrators as it provides a foundation in data storage and management, which are essential skills for working with databases.
Systems Analyst
Systems Analyst
Systems Analysts are responsible for analyzing, designing, and implementing computer systems. They use their expertise in systems analysis, systems design, and programming to create systems that meet the needs of users. This course on App Dev: Storing Application Data in Cloud Datastore - Python can be useful for aspiring Systems Analysts as it provides a foundation in data storage and management, which are essential skills for designing and implementing systems that handle data.
Database Developer
Database Developer
Database Developers are responsible for developing and maintaining databases. They use their expertise in database design, database programming, and database administration to create and maintain databases that meet the needs of users. This course on App Dev: Storing Application Data in Cloud Datastore - Python can be useful for aspiring Database Developers as it provides a foundation in data storage and management, which are essential skills for developing and maintaining databases.
Data Scientist
Data Scientist
Data Scientists are responsible for collecting, analyzing, and interpreting data to uncover insights and trends. They use their expertise in statistics, machine learning, and programming to develop predictive models and algorithms that can help businesses make better decisions. This course on App Dev: Storing Application Data in Cloud Datastore - Python can be useful for aspiring Data Scientists as it provides a foundation in data storage and management, which are essential skills for working with large datasets.
Web Developer
Web Developer
Web Developers are responsible for designing, developing, and maintaining websites. They use their expertise in web design, web development tools, and web programming languages to create websites that meet the needs of users. This course on App Dev: Storing Application Data in Cloud Datastore - Python can be useful for aspiring Web Developers as it provides a foundation in data storage and management, which are essential skills for developing websites that handle data.
Business Analyst
Business Analyst
Business Analysts are responsible for understanding the business needs of an organization and translating those needs into technical requirements. They use their expertise in business analysis, systems analysis, and requirements gathering to develop solutions that meet the needs of the business. This course on App Dev: Storing Application Data in Cloud Datastore - Python can be useful for aspiring Business Analysts as it provides a foundation in data storage and management, which are essential skills for understanding the data needs of a business.
Software Engineer
Software Engineer
Software Engineers design, develop, and maintain software applications. They use their expertise in programming languages, software development tools, and software design principles to create software solutions that meet the needs of users. This course on App Dev: Storing Application Data in Cloud Datastore - Python can be useful for aspiring Software Engineers as it provides a foundation in data storage and management, which are essential skills for developing scalable and reliable software applications.
Data Analyst
Data Analyst
Data Analysts are responsible for collecting, analyzing, and interpreting data to identify trends and patterns. They use their expertise in statistics, data visualization, and data mining to uncover insights that can help businesses make better decisions. This course on App Dev: Storing Application Data in Cloud Datastore - Python can be useful for aspiring Data Analysts as it provides a foundation in data storage and management, which are essential skills for working with data.
Project Manager
Project Manager
Project Managers are responsible for planning, executing, and closing projects. They use their expertise in project management, risk management, and communication to ensure that projects are completed on time, within budget, and to the required quality. This course on App Dev: Storing Application Data in Cloud Datastore - Python can be useful for aspiring Project Managers as it provides a foundation in data storage and management, which are essential skills for managing projects that involve data.
Technical Writer
Technical Writer
Technical Writers are responsible for creating technical documentation, such as user manuals, white papers, and training materials. They use their expertise in technical writing, editing, and communication to create clear and concise documentation that can be easily understood by users. This course on App Dev: Storing Application Data in Cloud Datastore - Python can be useful for aspiring Technical Writers as it provides a foundation in data storage and management, which are essential skills for understanding the technical aspects of a product or service.
Software Developer
Software Developer
Software Developers are responsible for designing, developing, and maintaining software applications. They use their expertise in programming languages, software development tools, and software design principles to create software solutions that meet the needs of users. This course on App Dev: Storing Application Data in Cloud Datastore - Python can be useful for aspiring Software Developers as it provides a foundation in data storage and management, which are essential skills for developing software applications that handle data.
For more career information including salaries, visit:
OpenCourser.com/course/adfocw/app
Reading list
We've selected 11 books
that we think will supplement your
learning. Use these to
develop background knowledge, enrich your coursework, and gain a
deeper understanding of the topics covered in
App Dev: Storing Application Data in Cloud Datastore - Python.
Save
This advanced book provides in-depth guidance on designing and building data-intensive applications, including considerations for Cloud Datastore.
Offers advanced insights into designing and building scalable data-intensive applications, including best practices for Cloud Datastore.
Save
This comprehensive book provides an overview of cloud computing concepts and technologies, including Cloud Datastore and its role in distributed systems.
This classic book offers a deep dive into data warehousing concepts and techniques, which are applicable to Cloud Datastore design and implementation.
Save
Provides a solid foundation in Python programming, which is essential for working with Cloud Datastore.
Prepares you for system design interviews, where you may be asked to design systems that utilize Cloud Datastore or similar NoSQL databases.
Provides a comprehensive overview of Google Cloud architecture, including Cloud Datastore and its integration with other services.
Provides a broad overview of NoSQL databases, including Cloud Datastore, and their advantages and disadvantages.
Save
This concise book offers a distilled overview of NoSQL databases, including Cloud Datastore, and their use cases and limitations.
Covers fundamental data structures and algorithms, which are essential for understanding Cloud Datastore's underlying concepts.
Helps you optimize your Python code for better performance, which is crucial for efficient Cloud Datastore interactions.
For more information about how these books relate to this course, visit:
OpenCourser.com/course/adfocw/app
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Effort
50 Minutes
Level
Intermediate
Via
Coursera
Institution
Google Cloud
Instructor
Google Cloud Training
Language
English
Good to know
Introduces learners to Google Cloud Datastore, which is an industry-standard tool for storing application data
Taught by Google Cloud Training, who are recognized for their expertise in cloud computing
Provides hands-on labs, which enables learners to apply their knowledge and skills
May require learners to have some prior experience with Python
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