The ability to write parts of SQL queries in natural language will help developers speed up their work, analysts say.

The world tried to kill Andy off but he had to stay alive to to talk about what happened with databases in 2025.

In the AI era, we’re constantly talking about how important data is—storing data, disseminating data, and protecting data. As data specialists, we understand bad data management leads to bad use of AI ...

On a mission to lighten the workload for data scientists, Google LLC’s cloud division today announced a wave of new artificial intelligence tools designed to help them build the next generation of AI ...

Today, at its annual Data + AI Summit, Databricks announced that it is open-sourcing its core declarative ETL framework as Apache Spark Declarative Pipelines, making it available to the entire Apache ...

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

Seldom does an act of haphazard comic rebellion infiltrate popular culture. But when it happens, other things happen, too. People start quoting it before they get home. Before you know it, the movie ...

This hands-on tutorial will walk you through the entire process of working with CSV/Excel files and conducting exploratory data analysis (EDA) in Python. We’ll use a realistic e-commerce sales dataset ...

Learn how to use Python to query an Azure SQL Database and retrieve your data efficiently! A step-by-step guide for beginners and pros alike. #Python #AzureSQL #DataQuerying Ozzy Osbourne’s cause of ...

While still in its early stages of development and implementation, this Python and SQL-powered approach to psychiatric medication dosing holds immense promise. It represents a significant leap forward ...

This dbt package provides a materialization that segments customers or any other entities. It builds SQL or Python (Snowpark) transformation from SQL dbt model. Basically, you provide your own custom ...

I read online that in PyArrow a string column would have a column-level size limit of 2GB. However, in my work I noticed this doesn't hold. def some_function( self, raw_table: pa.Table, ): schema = ...