Modern business intelligence demands speed, and utilizing AI tools for Excel is the ultimate way to hyper-charge your data workflows this year.

Abstract: Nowadays, the data used for decision-making come from a wide variety of sources which are difficult to manage using relational databases. To address this problem, many researchers have ...

One of the greatest weaknesses of AI agents that read and understand vast amounts of enterprise data is "hallucination" — the generation of ...

Indeavor, a leader in AI-powered shift scheduling for complex 24/7 operations, today announced the launch of AI Analytics Hub, a natural language reporting platform that lets users get instant ...

AWS says it has boosted Redshift performance by bringing the data warehouse to its Graviton-powered instances, positioning it to handle AI agent workloads and fend off rivals in the analytics market.

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 ...

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 ...

Who are these scripts for? You need to troubleshoot performance problems with SQL Server, and you need to do it now. You don't have time to track down a bunch of DMVs, figure out Extended Events, ...

Born out of Microsoft’s SQL Server Big Data Clusters investments, the Apache Spark Connector for SQL Server and Azure SQL is a high-performance connector that enables you to use transactional data in ...

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, ...