Data work in 2026 asks for more than chart building. Professionals are expected to clean data, query databases, explain ...

Partitioned Compute is a new feature in Fabric Dataflows that allows you to run certain operations inside a Dataflow query in ...

Skills in Python, SQL, Hadoop, and Spark help with collecting, managing, and analyzing large volumes of data. Using ...

Abstract: Privacy-preserving collaborative data analysis is a popular research direction in recent years. Among all such analysis tasks, privacy-preserving SQL ...

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, ...

New data from BrightEdge shows how finance-related queries perform on AI Overviews, identifying clear areas that continue to show AIO while Google is pulling back from others. The deciding factor is ...

To make it easier to pull a .csv or .txt file directly into Excel without having to deal with Power Query, Microsoft is introducing two new import functions. Microsoft is making two new Import ...

The narrative in SEO right now is simple: Google’s AI Mode doesn’t send traffic. If it becomes the default Google Search experience, your website will starve for clicks. There’s one problem, though: ...

Anaconda is a Python based data science package management system. Fancy terms for a collection of tools to make working with data much, much easier. Installing it is pretty easy. There are many tools ...

Recent advances in graphics processing units (GPUs) have opened a new frontier in query processing and database systems. Leveraging the massively parallel architecture of GPUs, modern database engines ...