Abstract: Model-Driven Engineering (MDE) places models at the core of system and data engineering processes. In the context of research data, these models are typically expressed as schemas that ...

ETL is no longer just about moving data; it’s about making it think. Across industries, the silent shift toward intelligent data pipelines is redefining how enterprises respond to change. Pipelines ...

In today’s data-driven world, databases form the backbone of modern applications—from mobile apps to enterprise systems. Understanding the different types of databases and their applications is ...

Abstract: The JSON data format is widely used in a variety of data representation and exchange scenarios due to its flexibility. JSON data is usually schemaless, which ensures the lightweight and ...

The development and deployment of advanced AI systems increasingly depend on flexible, robust orchestration layers that bridge diverse models, tools, and resources. IBM’s MCP Gateway addresses this ...

Validate Laravel JSON responses against JSON Schemas. This package leverages Opis JSON Schema for schema validation and provides convenient methods for validating API ...

Continuous delivery (CD) refers to a software engineering approach where teams produce software in short cycles, ensuring that software can be reliably released at any time. Its main goals are to ...

The structure of config context can be crucial for consuming systems (e.g. automated provisioning). We currently implement JSON schema validation with custom validation. However, it is always ...

Written by Ken Huang, CSA Fellow and Co-Chair of AI Working Groups, CEO of DistributedApps.ai, and AI Book Author; and Dr. Idan Habler, Staff AI Security Researcher at Intuit, specializing in AI ...