The purpose of the Text-to-SQL task is to bridge the gap between natural language and SQL queries. Current approaches mainly rely on large language models (LLMs), but employing them for Text-to-SQL ha ...

Turn Excel into a lightweight data-science tool for cleaning datasets, standardizing dates, visualizing clusters, and ...

The difficulty level, as per teachers and students who appeared for the exam, found the paper of moderate level of difficulty ...

CBSE 12th Computer Science Exam 2026 LIVE: CBSE Class 12 Information Practices, Computer Science and Information technology ...

In-demand skills include data analysis. It has been predicted that in 2026 businesses will place a high value on analysts who ...

Experts advise focusing on Python, MySQL, and Networking, practicing output questions, mastering SQL basics, revising key ...

Overview Each tool serves different needs, from simplicity to speed and SQL-based analytics workflows.Performance differences ...

Data work in 2026 asks for more than chart building. Professionals are expected to clean data, query databases, explain ...

Abstract: Privacy-preserving collaborative data analysis is a popular research direction in recent years. Among all such analysis tasks, privacy-preserving SQL ...

Cybersecurity researchers have disclosed nine cross-tenant vulnerabilities in Google Looker Studio that could have permitted attackers to run arbitrary SQL queries on victims' databases and exfiltrate ...

Abstract: The Text-to-SQL task has significant application prospects in automating relational database query interfaces. It can reduce user learning costs and improve data query efficiency. However, ...