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, ...
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 ...
Scientists have used AI to design bacteriophages, or viruses that infect only bacteria. Does the prospect of designing viruses with AI pose threats to biosecurity? When you purchase through links on ...
DbSchema for Mac is a powerful visual database design and management tool. It allows developers to design, document, and manage relational. DbSchema is a professional database design and management ...
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Data are a crucial asset for organizations, making it essential for database designers to effectively organize and manage data using DataBase Management Systems (DBMS). DataBase design Concepts (DBCs) ...