Abstract: A methodology for dynamic code analysis for SQL injection detection (DCAD) has been developed. It includes the stages of identifying data entry points, tracking data flows, generating test ...

Abstract: Large language models (LLMs) are being woven into software systems at a remarkable pace. When these systems include a back-end database, LLM integration opens new attack surfaces for SQL ...

This project demonstrates how to extract and analyze data from an E-Commerce Dataset using MySQL Workbench. It showcases SQL skills such as data filtering, aggregation, joining tables, subqueries, ...

RNA sequencing (RNA-Seq) is a high-throughput sequencing approach that enables comprehensive quantification of transcriptomes at a genome-wide scale. As a result, RNA-Seq has become a routine ...

Artificial intelligence has developed rapidly in recent years, with tech companies investing billions of dollars in data centers to help train and run AI models. The expansion of data centers has ...

For as long as I’ve worked in data and analytics, predictions of disappearing roles have been common. A decade ago, it was the data warehouse developer. Then it was the data steward. Today, some say ...

This article adopts a constructivist grounded theory approach based on the principle of intersubjective relations and the co-construction of interpretations. Reflecting on the author's experiences as ...

Data centers are proliferating in Virginia and a blind man in Baltimore is suddenly contending with sharply higher power bills. The Maryland city is well over an hour’s drive from the northern ...

In today’s data-rich environment, business are always looking for a way to capitalize on available data for new insights and increased efficiencies. Given the escalating volumes of data and the ...

Data quality is critical for successful data processing, with robust statistics essential for handling outliers and ensuring accurate representation. The standard deviation is sensitive to outliers, ...