This project showcases an end-to-end data analytics workflow, including data loading, cleaning, exploratory data analysis (EDA), SQL-based querying, and interactive dashboard creation. The objective ...

Oracle AI Database 26ai was built to provide value right from the start. This data platform enhances performance stability, enables in-database AI, and reduces operational costs without requiring ...

Therefore, this tutorial describes the use of traditional qualitative methods to analyze a large corpus of qualitative text data. We use examples from a nationwide SMS text messaging poll of youth to ...

Another year passes. I was hoping to write more articles instead of just these end-of-the-year screeds, but I almost died in the spring semester, and it sucked up my time. Nevertheless, I will go ...

The new managed functions will let enterprises apply LLM reasoning to structured and unstructured data directly in SQL, eliminating prompt tuning and external tools. Google has boosted its BigQuery ...

This project is my deep dive into understanding how businesses measure the long-term value of their customers — using nothing but SQL and a structured financial formula. I wanted to go beyond just ...

Today is Microsoft's September 2025 Patch Tuesday, which includes security updates for 81 flaws, including two publicly disclosed zero-day vulnerabilities. This Patch Tuesday also fixes nine "Critical ...

In this tutorial, we demonstrate how to build an advanced yet accessible Bioinformatics AI Agent using Biopython and popular Python libraries, designed to run seamlessly in Google Colab. By combining ...

Abstract: Designing an efficient and secure collaborative SQL analysis system that supports large-scale dataset inputs is a very challenging task. In this paper, we present FedQuery, an MPC-based ...