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Bogdan Sucaciu
Data validation is one of the most critical aspects when designing and building a high quality system. This course will teach you how to properly validate input data while using Spring Web 6.
Read more
Data validation is one of the most critical aspects when designing and building a high quality system. This course will teach you how to properly validate input data while using Spring Web 6.
Read more
Data validation is one of the most critical aspects when designing and building a high quality system. This course will teach you how to properly validate input data while using Spring Web 6.
Introducing unvalidated data into your system may cause severe errors in the long term. In this course, Validating Data Input in Spring 6 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 6 Web Applications.
Register for this course and see more details by visiting:
OpenCourser.com/course/mihya2/validating
What's inside
Syllabus
Course Overview
Exploring Data Validation
Using Validation Annotations
Building Custom Constraints
Read more
Syllabus
Course Overview
Exploring Data Validation
Using Validation Annotations
Building Custom Constraints
Read more
Verifying Persisted Data
Good to know
Good to know
Know what's good ,
what to watch for , and
possible dealbreakers
Explores data validation, which is standard in the development of web APIs
Taught by Bogdan Sucaciu, who are recognized for their work in Spring
Develops skills and knowledge in data validation, which are core skills for web development
Examines unvalidated data, which is highly relevant to security in web development
Save this course
Save Validating Data Input in Spring 6 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 6 Web Applications with these
activities:
Follow Spring Web Validation Tutorial
Show steps
Follow a tutorial on how to implement input validation using the Spring Web framework, focusing on the concepts and techniques taught in this course.
Browse courses on
Input Validation
Show steps
-
Find a tutorial on Spring Web validation
-
Work through the tutorial, implementing the validation logic in your own Spring Web application
Peer Review Validation Implementations
Show steps
Participate in a peer review session where you review and provide feedback on the implementation of data validation in Spring Web applications, sharing knowledge and best practices.
Browse courses on
Peer Review
Show steps
-
Find a peer or group of peers to review your validation implementations
-
Present your validation implementation for review and feedback
-
Review and provide feedback on the validation implementations of your peers
Practice Validation Code Challenges
Show steps
Solve code challenges that require you to implement data validation in Spring Web applications, testing your understanding of the concepts and techniques covered in this course.
Show steps
-
Find code challenges related to data validation in Spring Web applications
-
Attempt to solve the challenges, using the concepts and techniques learned in this course
Two other activities
Expand to see all activities and additional details
Show all five activities
Contribute to Open Source Validation Project
Show steps
Participate in an open source project focused on data validation, gaining practical experience and contributing to the community.
Browse courses on
Community Involvement
Show steps
-
Find an open source project related to data validation
-
Identify an area where you can contribute your skills and knowledge
-
Submit code contributions or documentation updates to the project
Create a Custom Validation Rule
Show steps
Develop a custom validation rule that addresses a specific data validation requirement for your Spring Web application, extending the validation capabilities beyond the built-in annotations.
Show steps
-
Identify a specific data validation requirement that is not covered by the built-in annotations
-
Design and implement a custom validation rule using the Spring Validation API
Follow Spring Web Validation Tutorial
Show steps
Follow a tutorial on how to implement input validation using the Spring Web framework, focusing on the concepts and techniques taught in this course.
Browse courses on
Input Validation
Show steps
Show steps
Show steps
- Find a tutorial on Spring Web validation
- Work through the tutorial, implementing the validation logic in your own Spring Web application
Peer Review Validation Implementations
Show steps
Participate in a peer review session where you review and provide feedback on the implementation of data validation in Spring Web applications, sharing knowledge and best practices.
Browse courses on
Peer Review
Show steps
Show steps
Show steps
- Find a peer or group of peers to review your validation implementations
- Present your validation implementation for review and feedback
- Review and provide feedback on the validation implementations of your peers
Practice Validation Code Challenges
Show steps
Solve code challenges that require you to implement data validation in Spring Web applications, testing your understanding of the concepts and techniques covered in this course.
Show steps
Show steps
Show steps
- Find code challenges related to data validation in Spring Web applications
- Attempt to solve the challenges, using the concepts and techniques learned in this course
Two other activities
Expand to see all activities and additional details
Show all five activities
Contribute to Open Source Validation Project
Show steps
Participate in an open source project focused on data validation, gaining practical experience and contributing to the community.
Browse courses on
Community Involvement
Show steps
Show steps
Show steps
- Find an open source project related to data validation
- Identify an area where you can contribute your skills and knowledge
- Submit code contributions or documentation updates to the project
Create a Custom Validation Rule
Show steps
Develop a custom validation rule that addresses a specific data validation requirement for your Spring Web application, extending the validation capabilities beyond the built-in annotations.
Show steps
Show steps
Show steps
- Identify a specific data validation requirement that is not covered by the built-in annotations
- Design and implement a custom validation rule using the Spring Validation API
Career center
Learners who complete Validating Data Input in Spring 6 Web Applications will develop knowledge and skills
that may be useful to these careers:
Data Scientist
Data Scientist
A Data Scientist is responsible for using data to solve business problems. This course may be useful as it teaches how to validate and verify input data before it is processed by a data science model. By doing this, data scientists can help to prevent errors and maintain the integrity of their models.
Machine Learning Engineer
Machine Learning Engineer
A Machine Learning Engineer is responsible for designing, developing, and maintaining machine learning models. This course may be useful as it teaches how to validate and verify input data before it is processed by a machine learning model. By doing this, machine learning engineers can help to prevent errors and maintain the integrity of their models.
Business Analyst
Business Analyst
A Business Analyst is responsible for analyzing and improving business processes. This course may be useful as it teaches how to validate and verify input data before it is processed by a business process. By doing this, business analysts can help to prevent errors and maintain the integrity of their processes.
Software Engineer
Software Engineer
A Software Engineer is responsible for designing, developing, and maintaining software applications. This course may be useful as it teaches how to validate and verify input data before it is processed by a software application. By doing this, software engineers can help to prevent errors and maintain the integrity of their applications.
Data Analyst
Data Analyst
A Data Analyst is a professional who applies statistical and analytical techniques to data in order to extract insights that can be used to improve decision-making. This course may be useful as it teaches how to validate and verify input data, which is data analysts do on a daily basis.
Database Administrator
Database Administrator
A Database Administrator is responsible for managing and maintaining databases. This course may be useful as it teaches how to verify and validate input data before it is stored in a database. By doing this, database administrators can help to prevent errors and maintain the integrity of their databases.
Web Developer
Web Developer
A Web Developer is responsible for designing and developing websites and web applications. This course may be useful as it teaches how to validate input data before it is processed by a web application. By doing this, web developer can help to prevent errors and maintain the integrity of their applications.
Information Security Analyst
Information Security Analyst
An Information Security Analyst is responsible for protecting an organization's information systems from unauthorized access, use, disclosure, disruption, modification, or destruction. This course may be useful as it teaches how to validate and verify input data before it is processed by an information system. By doing this, information security analysts can help to prevent errors and maintain the integrity of their systems.
Data Engineer
Data Engineer
A Data Engineer is responsible for designing, developing, and maintaining data pipelines. This course may be useful as it teaches how to validate and verify input data before it is processed by a data pipeline. By doing this, data engineers can help to prevent errors and maintain the integrity of their pipelines.
DevOps Engineer
DevOps Engineer
A DevOps Engineer is responsible for bridging the gap between development and operations teams. This course may be useful as it teaches how to validate and verify input data before it is processed by a DevOps pipeline. By doing this, DevOps engineers can help to prevent errors and maintain the integrity of their pipelines.
Cloud Engineer
Cloud Engineer
A Cloud Engineer is responsible for designing, developing, and maintaining cloud computing solutions. This course may be useful as it teaches how to validate and verify input data before it is processed by a cloud computing service. By doing this, cloud engineers can help to prevent errors and maintain the integrity of their solutions.
Information Technology Manager
Information Technology Manager
An Information Technology Manager is responsible for managing and overseeing an organization's information technology systems. This course may be useful as it teaches how to validate and verify input data before it is processed by an information technology system. By doing this, information technology managers can help to prevent errors and maintain the integrity of their systems.
Systems Analyst
Systems Analyst
A Systems Analyst is responsible for analyzing and designing computer systems. This course may be useful as it teaches how to validate and verify input data before it is processed by a computer system. By doing this, systems analysts can help to prevent errors and maintain the integrity of their systems.
Software Architect
Software Architect
A Software Architect is responsible for designing and developing the architecture of software systems. This course may be useful as it teaches how to validate and verify input data before it is processed by a software system. By doing this, software architects can help to prevent errors and maintain the integrity of their systems.
Quality Assurance Analyst
Quality Assurance Analyst
A Quality Assurance Analyst is responsible for testing and evaluating software applications to ensure that they meet quality standards. This course may be useful as it teaches how to validate and verify input data before it is processed by a software application. By doing this, quality assurance analysts can help to prevent errors and maintain the integrity of their applications.
For more career information including salaries, visit:
OpenCourser.com/course/mihya2/validating
Reading list
We've selected 12 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 6 Web Applications.
Provides a gentle introduction to data validation with Java. It covers the basics of data validation, such as input validation and data cleansing. It good choice for beginners who want to learn more about data validation.
Provides a comprehensive overview of data validation in web applications, covering both the theoretical foundations and practical implementation. It valuable resource for anyone who wants to learn more about this important topic.
Delves deeply into the intricacies of data validation in Spring. It offers practical guidance on using annotations, building custom constraints, and verifying data integrity, making it an invaluable resource for this course.
Save
Explores advanced topics in Spring MVC, including data validation, security, and performance optimization. Its in-depth coverage makes it a valuable reference for experienced developers.
Provides a solid foundation in Java Persistence API (JPA) and Hibernate, which are commonly used with Spring for data persistence and validation.
While not directly focused on data validation, this book provides a solid foundation in Java best practices, including object-oriented design principles and effective coding techniques.
Comprehensive reference guide to data validation. It covers all aspects of data validation, from basic concepts to advanced techniques. It valuable resource for data validation professionals of all levels.
Classic guide to Java concurrency, covering all aspects of the topic from basic concepts to advanced techniques. It must-read for anyone who wants to write efficient and scalable Java applications.
Save
Offers a beginner-friendly introduction to Java, providing a strong foundation for understanding data types, operators, and control flow.
Save
Popular introduction to Java programming, known for its engaging and humorous writing style. It good choice for beginners who want to learn the basics of Java quickly and easily.
Comprehensive reference guide to the Java programming language. It covers all aspects of the language, from basic syntax to advanced topics such as concurrency and generics. It valuable resource for Java programmers of all levels.
Basic introduction to the Java programming language. It good choice for beginners who have no prior programming experience.
For more information about how these books relate to this course, visit:
OpenCourser.com/course/mihya2/validating
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Time
112 hours
Level
Advanced
Via
Pluralsight
Instructor
Bogdan Sucaciu
Language
English
Good to know
Explores data validation, which is standard in the development of web APIs
Taught by Bogdan Sucaciu, who are recognized for their work in Spring
Develops skills and knowledge in data validation, which are core skills for web development
Examines unvalidated data, which is highly relevant to security in web development
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