Abstract: Querying power big data across multiple sections plays an important role in achieving efficient power data sharing and emergent accident handling. However, power big data often suffers from ...

'Vibe coding' — the act of letting AI code for you instead of creating the code manually — has become a popular method for speeding up coding projects and cutting down on human involvement in the ...

Microsoft Excel for Windows is getting a streamlined upgrade for anyone working with external data. If you regularly use Power Query, there’s a brand-new “Get Data” experience rolling out that aims to ...

Google hasn’t done a full cannonball into the large language model (LLM) pool, but they’re definitely in the water. On May 20, Google launched AI Mode to all U.S. searchers, marking its most ...

A library of open datasets for data analytics/machine learning compiled by HackerNoon. A library of open datasets for data analytics/machine learning compiled by HackerNoon. A library of open datasets ...

Snowflake is a leading data platform that helps enterprises create a single source of truth out of data stored across various public clouds. By separating computing from storage, Snowflake provides ...

Have you ever found yourself staring at a long, messy column of data, wondering how to quickly transform it into a clean, structured table? For anyone working with Power Query, this challenge is all ...

Abstract: Document databases are increasingly popular in various applications, but their queries are challenging to write due to the flexible and complex data model underlying document databases. This ...

Databases are essential for storing and retrieving structured data supporting business intelligence, research, and enterprise applications. Querying databases typically requires SQL, which varies ...