The goal of data architecture is to translate business needs into data and system requirements, and to manage data and its flow through the enterprise. Many organizations today are looking to ...

With Apache Spark Declarative Pipelines, engineers describe what their pipeline should do using SQL or Python, and Apache Spark handles the execution.

From governance to growth, centralized AI decisioning delivers faster, smarter outcomes across the customer journey.

Data management consultant Indicium launched AI Data Squads, built on the IndiMesh framework, to manage data transformation ...

Explore IoT architecture to understand its layered framework that enables modularity, scalability, and flexibility in IoT ...

Senior Software Engineer Jeevani Singireddy has proposed a new technology framework aimed at improving the accuracy an ...

Model Context Protocol (MCP) is redefining AI by enabling real-time tool integration, solving knowledge staleness, and ...

Modern data strategies are reshaping enterprise systems by seamlessly blending robust legacy platforms with advanced cloud ...

However, constructing AI-ready data platforms is more than just a technical endeavor — it requires a strategic, multidimensional approach touching on architecture, governance, talent and ...

The framework models the complex mechanical behavior of ... The paper introduces a novel architecture tailored for data-scarce, nonlinear mechanical systems; a domain where conventional machine ...