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JSON Schema Tutorial Part 3 – Design and Structure
JSON Schemas provide a method for validating JSON data, enhancing maintainability and clarity through reusability of subschemas defined under $defs and referenced by $ref. Effective schema design includes normalization of data, versioning strategies for changes, and adherence to best practices. This ensures backward compatibility and organized data management for complex structures.
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JSON Schema Tutorial – Part 2 – Validation Rules
Part 2 of the JSON Schema tutorial focuses on validation rules essential for defining the structure and constraints of a JSON instance. It discusses various data types, array and object rules, additional property constraints, validation properties, annotations, and conditional logic for advanced scenarios. The upcoming Part 3 will address optimal schema design and reusability.
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JSON Schema Tutorial – Part 1: Understanding a JSON Schema
This JSON Schema tutorial series introduces the basic structure of JSON Schema, emphasizing its role in ensuring data quality and consistency during data exchange. It covers key benefits like data validation, documentation, and automated testing, while illustrating schema components such as properties and required fields, culminating in a simple JSON document example.
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Querying and Transforming JSON Data – Part 4 of 4
This tutorial on JSON covers accessing and manipulating JSON data efficiently. It focuses on JSON Pointer for addressing specific values and JSONPath for querying complex structures. Key programming libraries for handling JSON in JavaScript, Python, Java, C#, and PHP are also discussed. Future tutorials will explore JSON Schema for data validation and documentation.
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Advanced Data Structures in JSON – Part 3 of 4
In Part 3 of the JSON tutorial series, the focus is on creating advanced data structures using nested objects and arrays. It emphasizes the importance of structuring JSON for complex relationships while maintaining uniqueness and efficiency. Best practices for organizing large documents, avoiding key collisions, and visualizing complexities are also discussed.
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JSON Best Practices and Conventions – Part 2 of 4
This JSON tutorial focuses on best practices for creating readable, maintainable, and interoperable JSON. Key topics include naming conventions for keys, escaping characters, formatting for readability, and structuring data effectively.
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Understanding JSON: A Beginner’s Guide – Part 1 of 4
This tutorial series on JSON covers its syntax, popularity, and common uses, detailing key concepts and comparisons with XML. It aims to provide practical guidance for both novices and experienced developers seeking to understand JSON’s fundamentals.
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JSON to EDI Transform – Conditional Segments
Learn how to create an EDI 810 Invoice message from a JSON document using Liquid Data Mapper. We focus on mapping invoice items to the optional SAC segment, avoiding empty segments, and filtering out zero discount values in the output.
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Convert BSON to JSON in Liquid Studio
JSON is a lightweight, human-readable data format used for data interchange, while BSON is its binary equivalent, suitable for machine use. Liquid Studio offers two methods for converting BSON to JSON: the Conversion Wizard and Liquid Data Mapper, facilitating data integration without coding.
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Lists and Arrays in XML with Liquid XML Objects
The content discusses defining arrays in XML and utilizing them in C# code generated from Liquid XML Objects. It provides an example demonstrating XML Schema (XSD) with attribute and element lists, valid XML data, and generated C# properties for accessing array data. Additionally, it highlights Liquid XML Objects’ features and advantages over xsd.exe.
