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, ...

The ability to write parts of SQL queries in natural language will help developers speed up their work, analysts say. Google is previewing a new AI-driven feature in its BigQuery data warehouse that ...

Have you ever spent hours fine-tuning a Power Query workflow, only to have it break because a column name changed? It’s a frustratingly common scenario for anyone working with dynamic or external data ...

from sqlglot import parse_one from lineage import lineage from sqlglot.optimizer import build_scope from sqlglot.optimizer.qualify import qualify query = """ WITH cte ...

Have you ever stared at a massive dataset, only to realize it’s riddled with empty columns that serve no purpose? It’s a frustrating scenario—one that wastes time, clutters your workflow, and makes ...

Hello there! 👋 I'm Luca, a BI Developer with a passion for all things data, Proficient in Python, SQL and Power BI ...

Abstract: The conventional dynamic task scheduling method of multi-level distributed query engine mainly uses DAG (Directed Acyclic Graph) to generate task allocation scheduler, which is vulnerable to ...

While the SQL queries simply use the order of appearance in the SQL statement, CQL queries have no defined column order. I want to use the column order for a second thing: visibility. Columns that are ...

Meta descriptions are crucial in shaping how search engines and users perceive your content. While meta descriptions don’t directly impact search rankings, they can significantly influence user ...