I will summarize my thoughts after reading "Introduction to SQL for Business Professionals to Enhance Data Analysis Skills".

This PostgreSQL tutorial demonstrates practical ways to clean, transform, and analyze database information using built-in ...

"I connected an AI agent to a database and asked it to 'get last month's net sales,' and it wrote and executed the SQL in ...

PostgreSQL window functions make it possible to rank records, calculate running totals, and analyze data without combining ...

This project analyzes the Superstore retail dataset to understand sales performance, profitability, product trends, and regional business performance. The dashboard allows users to interact with the ...

Toshiba has begun offering "V6.0," a new version of its "GridDB Enterprise Edition" time-series database for large-scale IoT. A newly ...

Will AI reduce the need for data analysts in the future, or change what employers expect? For anyone entering the field or ...

Oracle’s Deep Trust AI Architecture moves AI agent security into the database. This article looks at the announcement, how it ...

NVIDIA has open-sourced Auto Ontology, a framework designed to make AI agents more reliable when querying enterprise databases using natural-language instructions. The system creates a semantic layer ...

An end-to-end analysis of four years of retail sales: clean the data, explore it with SQL, find what drives revenue, and present it in an Excel dashboard. Built with Python (Pandas, Matplotlib), SQL ...

Integrate MCP connects governed marketing data to the AI tools B2B teams already use, with ABM funnel tracking, MQL/SQL ...

The best AI data visualization tools in 2026 are Julius AI for chat-based analysis without code, Tableau with AI for ...