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Bogdan Sucaciu
Data validation is one of the most critical aspects when designing and
building a high-performance system.
This course will teach you
how to
properly validate input data while using Spring Web 5.
Read more
Data validation is one of the most critical aspects when designing and building a high-performance system. This course will teach you how to properly validate input data while using Spring Web 5.
Read more
Data validation is one of the most critical aspects when designing and building a high-performance system. This course will teach you how to properly validate input data while using Spring Web 5.
Introducing unvalidated data into your system may cause severe errors in the long term. In this course, Validating Data Input in Spring 5 Web Applications, you’ll learn to properly validate data introduced using web APIs. First, you’ll explore how invalid data can affect our system. Next, you’ll discover how out-of-the box annotations can be applied in order to have a consistent validation mechanism. Finally, you’ll learn how to verify and validate input data in comparison with the persisted data. When you’re finished with this course, you’ll have the skills and knowledge of data validation needed to validate input data in Spring 5 web applications.
Register for this course and see more details by visiting:
OpenCourser.com/course/ift4mv/validating
What's inside
Syllabus
Course Overview
Exploring Data Validation
Using Validation Annotations
Verifying Persisted Data
Read more
Syllabus
Course Overview
Exploring Data Validation
Using Validation Annotations
Verifying Persisted Data
Read more
Good to know
Good to know
Know what's good ,
what to watch for , and
possible dealbreakers
Introduces fundamental data validation principles
Covers a variety of validation techniques
Emphasizes the importance of data validation in building high-performance systems
Utilizes out-of-the-box Spring Web 5 annotations for consistent validation
Includes hands-on practice with data validation scenarios
Leverages industry best practices for data validation in web applications
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Save Validating Data Input in Spring 5 Web Applications 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 Validating Data Input in Spring 5 Web Applications with these
activities:
Review Java Annotations Overview
Show steps
Strengthen your knowledge of Java annotations, providing a solid foundation for understanding validation annotations in Spring Web.
Show steps
-
Read documentation and articles on Java annotations.
-
Practice using annotations in simple Java programs.
Review Basics of HTTP Protocol
Show steps
Revisit the fundamental concepts of HTTP to strengthen your understanding of data validation in web applications.
Browse courses on
HTTP
Show steps
-
Read documentation and tutorials on HTTP basics.
-
Review examples of HTTP requests and responses.
Explore Spring Boot Documentation on Web Validation
Show steps
Dive deeper into the official Spring Boot documentation to gain a comprehensive understanding of web validation features and best practices.
Browse courses on
Spring Boot
Show steps
-
Read the documentation on web validation.
-
Review code samples and examples.
Four other activities
Expand to see all activities and additional details
Show all seven activities
Engage in Online Discussions on Data Validation
Show steps
Connect with peers and engage in thought-provoking discussions on data validation techniques, sharing knowledge and experiences.
Show steps
-
Identify and join online forums or communities.
-
Actively participate in discussions.
Read 'Spring in Action' (5th Edition)
Show steps
Delve into a comprehensive resource on Spring framework, gaining insights into data validation techniques and best practices.
View
Spring in Action, Sixth Edition
on Amazon
Show steps
-
Read chapters dedicated to data validation.
-
Study code examples and explore real-world use cases.
Create Sample Web Applications with Validation
Show steps
Solidify your grasp of data validation by building and validating real-world web applications, testing your skills in a practical setting.
Browse courses on
Web Applications
Show steps
-
Set up a development environment.
-
Implement web forms and API endpoints with validation.
-
Test and debug the validation functionality.
Solve Coding Challenges on Data Validation
Show steps
Enhance your problem-solving and coding skills by tackling challenges that focus on data validation in Spring Web applications.
Browse courses on
Coding Challenges
Show steps
-
Identify reputable platforms offering coding challenges.
-
Select challenges that align with course concepts.
-
Solve challenges and analyze solutions.
Review Java Annotations Overview
Show steps
Strengthen your knowledge of Java annotations, providing a solid foundation for understanding validation annotations in Spring Web.
Show steps
Show steps
Show steps
- Read documentation and articles on Java annotations.
- Practice using annotations in simple Java programs.
Review Basics of HTTP Protocol
Show steps
Revisit the fundamental concepts of HTTP to strengthen your understanding of data validation in web applications.
Browse courses on
HTTP
Show steps
Show steps
Show steps
- Read documentation and tutorials on HTTP basics.
- Review examples of HTTP requests and responses.
Explore Spring Boot Documentation on Web Validation
Show steps
Dive deeper into the official Spring Boot documentation to gain a comprehensive understanding of web validation features and best practices.
Browse courses on
Spring Boot
Show steps
Show steps
Show steps
- Read the documentation on web validation.
- Review code samples and examples.
Four other activities
Expand to see all activities and additional details
Show all seven activities
Engage in Online Discussions on Data Validation
Show steps
Connect with peers and engage in thought-provoking discussions on data validation techniques, sharing knowledge and experiences.
Show steps
Show steps
Show steps
- Identify and join online forums or communities.
- Actively participate in discussions.
Read 'Spring in Action' (5th Edition)
Show steps
Delve into a comprehensive resource on Spring framework, gaining insights into data validation techniques and best practices.
View
Spring in Action, Sixth Edition
on Amazon
Show steps
Show steps
Show steps
- Read chapters dedicated to data validation.
- Study code examples and explore real-world use cases.
Create Sample Web Applications with Validation
Show steps
Solidify your grasp of data validation by building and validating real-world web applications, testing your skills in a practical setting.
Browse courses on
Web Applications
Show steps
Show steps
Show steps
- Set up a development environment.
- Implement web forms and API endpoints with validation.
- Test and debug the validation functionality.
Solve Coding Challenges on Data Validation
Show steps
Enhance your problem-solving and coding skills by tackling challenges that focus on data validation in Spring Web applications.
Browse courses on
Coding Challenges
Show steps
Show steps
Show steps
- Identify reputable platforms offering coding challenges.
- Select challenges that align with course concepts.
- Solve challenges and analyze solutions.
Career center
Learners who complete Validating Data Input in Spring 5 Web Applications will develop knowledge and skills
that may be useful to these careers:
Data Scientist
Data Scientist
Data scientists use scientific methods and processes to extract knowledge from data, creating models and algorithms to solve problems. This course will help you understand how to validate input data before using it to train models. By ensuring the data you use to build your models is accurate and consistent, you will improve the performance and reliability of your models.
Data Analyst
Data Analyst
Data analysts collect, clean, analyze, and interpret data to identify trends and patterns. This course can be very useful in teaching you the importance of data validation and how to validate data using out-of-the-box annotations. By ensuring the data you analyze is accurate and consistent, your analysis will be more accurate and insightful.
Data Engineer
Data Engineer
A Data Engineer designs and builds systems to collect, clean, and prepare data for analysis. This course can help build a foundation in data validation, which is a critical aspect of data engineering. Proper data validation ensures data is accurate and consistent. This course will help develop the skills needed to build scalable and efficient data pipelines.
Web Developer
Web Developer
Web Developers design and develop websites and web applications. This course will help you learn how to validate input data in web applications, which is critical for building secure and reliable web applications. By ensuring the data in your application is accurate and consistent, you will reduce the risk of errors and improve the user experience.
Database Administrator
Database Administrator
Database Administrators design, implement, and maintain databases to ensure data is stored, organized, and accessed efficiently. This course may be helpful in teaching you how to validate data before it is stored in the database. This will reduce the risk of errors and ensure the data in your database is accurate and consistent.
Software Engineer
Software Engineer
Software Engineers design, develop, and maintain software applications. This course will teach you how to validate data in web applications, which is critical for building secure and reliable software. By ensuring the data in your application is accurate and consistent, you will reduce the risk of errors and improve the user experience.
Financial Analyst
Financial Analyst
Financial Analysts collect and analyze financial data to make investment recommendations. This course may be useful in teaching you how to validate data before it is used for making investment decisions. This will ensure the decisions you make are based on accurate and consistent data, which will increase the likelihood of successful investments.
Market Researcher
Market Researcher
Market Researchers collect and analyze data about consumer behavior to help businesses make informed decisions. This course may be useful in teaching you how to validate data before it is used for making business decisions. This will ensure the decisions you make are based on accurate and consistent data, which will increase the likelihood of successful marketing campaigns.
Business Analyst
Business Analyst
Business Analysts analyze business needs and processes to improve efficiency and effectiveness. This course may be useful in teaching you how to validate data before it is used for making business decisions. This will ensure the decisions you make are based on accurate and consistent data, which will increase the likelihood of successful outcomes.
Product Manager
Product Manager
Product Managers plan and develop products to meet the needs of customers. This course can be helpful in teaching you how to validate input data from customers, which is critical for building successful products. By ensuring the data you collect is accurate and consistent, you will be able to better understand customer needs and build products that meet those needs.
Information Security Analyst
Information Security Analyst
Information Security Analysts design and implement security measures to protect data and systems from unauthorized access. This course will teach you how to validate input data, which is a critical aspect of information security. By ensuring the data in your systems is accurate and consistent, you will reduce the risk of security breaches and data loss.
Quality Assurance Analyst
Quality Assurance Analyst
Quality Assurance Analysts test and evaluate software and systems to ensure they meet quality standards. This course may be useful in teaching you how to validate input data before it is used for testing. This will ensure the tests you conduct are accurate and reliable, which will increase the likelihood of finding defects and improving the quality of the software.
Risk Manager
Risk Manager
Risk Managers identify, assess, and mitigate risks to an organization. This course may be useful in teaching you how to validate data before it is used for making risk decisions. This will ensure the decisions you make are based on accurate and consistent data, which will increase the likelihood of successful risk management.
User Experience Designer
User Experience Designer
User Experience Designers design and evaluate user interfaces to ensure they are easy to use and enjoyable. This course may be useful in teaching you how to validate input data from users. This will help you understand how users interact with your product and make informed decisions about how to improve the user experience.
Project Manager
Project Manager
Project Managers plan, execute, and close projects to achieve specific goals. This course may be useful in teaching you how to validate data before it is used for making project decisions. This will ensure the decisions you make are based on accurate and consistent data, which will increase the likelihood of project success.
For more career information including salaries, visit:
OpenCourser.com/course/ift4mv/validating
Reading list
We've selected ten 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
Validating Data Input in Spring 5 Web Applications.
Classic resource for learning about effective Java programming. It covers a wide range of topics, including object-oriented design, concurrency, and performance. While not directly related to the course, it would provide a lot of background knowledge.
Save
Great resource for learning about clean code, a set of principles for writing high-quality software. While not directly related to the course, it would provide a lot of background knowledge.
Save
Great resource for learning about software architecture. While not directly related to the course, it would provide a lot of background knowledge.
Save
Classic resource for learning about design patterns, a set of proven solutions to common software development problems. While not directly related to the course, it would provide a lot of background knowledge.
Great resource for learning about software development best practices. While not directly related to the course, it would provide a lot of background knowledge.
Save
Great resource for learning about agile principles, patterns, and practices in C#. While not directly related to the course, it would provide a lot of background knowledge.
Great resource for learning about domain-driven design, a software development approach that focuses on modeling the domain of a software application. While not directly related to the course, it would provide a lot of background knowledge.
Save
Comprehensive guide to the Spring Framework. It covers all aspects of the framework, including data validation.
Save
Guide to API security. It covers topics such as data validation, authentication, and authorization.
Guide to HTML5 and CSS3 for web designers. It covers topics such as data validation, responsive design, and best practices.
For more information about how these books relate to this course, visit:
OpenCourser.com/course/ift4mv/validating
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Time
101 hours
Level
Advanced
Via
Pluralsight
Instructor
Bogdan Sucaciu
Language
English
Good to know
Introduces fundamental data validation principles
Covers a variety of validation techniques
Emphasizes the importance of data validation in building high-performance systems
Utilizes out-of-the-box Spring Web 5 annotations for consistent validation
Includes hands-on practice with data validation scenarios
Leverages industry best practices for data validation in web applications
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