AI is changing the way we think about databases. You can’t have reliable AI agents without reliable data infrastructure.

Abstract: The electric power steering (EPS) system is a critical component in modern vehicles, providing efficiency, enhanced control and flexibility, improved safety, and reduced maintenance ...

Database selection directly affects speed, scalability, and platform stabilityModern web platforms often combine multiple ...

Discover the leading database management systems for enterprises in 2026. Explore key features, pricing, and implementation tips for selecting the best DBMS software to harness your data effectively.

┌─────────────────┐ │ Data Sources │ (CRM, ERP Systems) └────────┬────────┘ │ ┌─────────────────┐ │ Bronze Layer │ Raw, unprocessed data │ (bronze.*) │ - Exact copy of source ...

Smart Clinic Management System is a comprehensive full-stack healthcare application designed to modernize clinic operations. Built as the Capstone Project for Java Development, this system integrates ...

Fragmented stacks, hand-coded ETL and static dashboards are dead; AI is forcing data management to finally grow up in 2026.

Two major milestones: finalizing my database choice and successfully running a local model for data extraction.

Graph database expert Marko Budiselić has some thoughts on why it's time to be more data source ecumenical. Coming from the world of graph technology, ...

SQL remains the backbone of enterprise data access. Despite the rise of dashboards, semantic layers, and AI-driven analytics, most critical business data is sti ...

Abstract: Distributed databases have become necessity in the organizations, as applications are require data locally rather than remote locations. It is important to place data where the applications ...