Coding Clean, Reliable, and Safe REST APIs with ASP.NET Core 8: Develop Robust Minimal APIs with .NET 8

Each major topic is organised into two chapters, beginning with basic concepts that provide necessary background for understanding each data mining technique, followed by more advanced concepts and algorithms.

After defining the key dimensions of a model for contextual processing, the book discusses how data is used to develop a semantic model for contexts as well as language-driven context-specific processing actions. It then applies rigorous mathematical methods to contexts, examines basic sensor data fusion theory and applies it to the contextual fusion of information, and describes the means to distribute contextual information. The authors also illustrate a new type of data repository model to manage contextual data, before concluding with the requirements of contextual security in a global environment. This seminal work presents an integrated framework for the design and operation of the next generation of IT processing. It guides the way for developing advanced IT systems and offers new models and concepts that can support advanced semantic web and cloud computing capabilities at a global scale.

The Late Objects Version begins with a rich treatment of procedural programming, including two full chapters on control statements and 200+ exercises. Keep Your Course Current: This edition can be used with Java SE 7 or Java SE 8, and is up-to-date with the latest technologies and advancements. Facilitate Learning with Outstanding Applied Pedagogy: Making a Difference exercise sets, projects, and hundreds of valuable programming tips help students apply concepts. Support Instructors and Students: Student and instructor resources are available to expand on the topics presented in the text.

The authors, all leaders in the data quality field for many years, discuss how to make the economic case for data quality and the importance of getting an organization’s leaders on board. They outline different approaches for assessing data, both subjectively (by users) and objectively (using sampling and other techniques). They describe real problems and solutions, including efforts to find the root causes of data quality problems at a healthcare organization and data quality initiatives taken by a large teaching hospital. They address setting company policy on data quality and, finally, they consider future challenges on the journey to data quality.

This program presents a better teaching and learning experience–for you and your students.

• A Concise, Accessible Introduction to Java: Key Java language features are covered in an accessible manner that resonates with introductory programmers.
• Tried-and-true Pedagogy: Numerous case studies, programming examples, and programming tips are used to help teach problem-solving and programming techniques.
• Flexible Coverage that Fits your Course: Flexibility charts and optional graphics sections allow instructors to order chapters and sections based on their course needs.

Instructor and Student Resources that Enhance Learning: Resources are available to expand on the topics presented in the text.