Data analysis is no longer a specialist skill reserved for analysts. It now supports finance, trading, ecommerce, marketing, ...

Stonebraker essentially abandoned Postgres in the mid-1990s. But instead of fading into obscurity, the codebase was salvaged ...

IBM is introducing a variety of AI tools to IBM SQL Data Insights Pro (SQL DI Pro), generally available as of March 2026, offering semantic search, similarity discovery, anomaly detection, and unified ...

Data scientists play a crucial role in helping people and organizations use data to make more informed decisions. Since they use advanced practices and technologies to extract and analyze complex data ...

GitHub hosts a wide range of database repositories that support developers working with database systems, SQL tools, and modern data engineering workflows. These open source database tools help power ...

When Miro’s data team pointed AI agents directly at its Snowflake environment, the agents got the wrong answer more than 65% of the time. The problem wasn’t the model — it was context. With more than ...

It’s time to switch to a new development tool for SQL Server and Azure SQL. Here’s how to get started with the MSSQL extension for Visual Studio Code. Microsoft recently ended support for Azure Data ...

Security vulnerabilities in MCP servers for three popular database projects could let attackers execute unintended SQL statements on Apache Doris, exfiltrate sensitive metadata from Alibaba RDS, and ...

Unlock the full InfoQ experience by logging in! Stay updated with your favorite authors and topics, engage with content, and download exclusive resources. Erik Steiger discusses the operational pain ...

This project currently relies on the Simple Health Export CSV app by Eric Wolter. See Exporting Data below for more info on how best to use the app. This is currently the easiest way I could find to ...

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 ...

This project involves a deep dive into a healthcare database using SQL. The goal was to analyze patient data, treatment efficacy, hospital operations, and financial metrics to derive insights that ...