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 ...

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

System logs generated by globally distributed microservices often hide subtle degradations (like memory thrashing or systemic ...

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 ...

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

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 ...

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 ...

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 ...

Oracle is announcing enhancements to Oracle Autonomous AI Lakehouse designed to improve business context, data access, and governance for analytics and AI workloads.