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Level up your SQL game for real-world impact

From query optimization to AI integration, SQL skills are adapting to meet the needs of modern analytics and engineering. Techniques like indexing, joins, and AI-driven insights improve performance ...
IEEE

An Example-Enhanced and Iteratively Refined Text-to-SQL Framework with Dual-Path Revision

Abstract: Although significant progress has been made in Text-to-SQL technology, existing methods still face challenges: insufficient adaptability between examples and the specific database schema, ...
GitHub

Data Quality and Validation.sql

## Question 1 : Define Data Quality in the context of ETL pipelines. Why is it more than just data cleaning? # Answer 1 : Definition: In ETL, data quality refers to the degree to which data is ...
IEEE

AES-SQL: Text-to-SQL Based on Adaptive Prompting and Intelligent Example Selection

Abstract: Large Language Models have greatly enhanced the Text-to-SQL task. In this paper, we propose AES-SQL, an LLM-based approach based on few-shot Learning. We adjust the structure of the adaptive ...
GitHub

Data Engineering Project: SQL and Python ETL Pipeline

Design and implement an end-to-end ETL (Extract, Transform, Load) pipeline using SQL for data extraction and transformation, and Python for orchestration and automation. Use any open dataset (e.g., ...