AI Copilot in Excel helps clean dates, split columns, and add currency formats, so you save time and make faster, clearer decisions.

Millions of users work with SQL to keep the gears of their business turning. In an era marked by relentless digital transformation, the proliferation of AI workloads, and tightening regulatory demands ...

Data cleaning is a crucial yet challenging task in data analysis, often requiring significant manual effort. To automate data cleaning, previous systems have relied on statistical rules derived from ...

This project focuses on analyzing global layoffs data using SQL. The workflow was divided into two main phases: Data Cleaning → Preparing and standardizing the dataset for accuracy and consistency.

A new SQL Server 2025 feature lets organizations run vector-based semantic searches on their own data, connecting to local or cloud-hosted AI models without relying on massive general-purpose LLMs. I ...

3.4.2 Making "UPDATE" ...

Abstract: Accurate forecasting of wind energy is essential for ensuring the reliable functioning of wind power systems. However, data collected during acquisition and transmission is prone to issues, ...

Continuing a deluge of announcements clustered around making it easier for enterprises to build artificial intelligence-based agents and applications, Databricks Inc. today is wrapping up its Data+AI ...

Organizations are using generative AI to stay ahead of the competition, but the real advantage lies in harnessing the power of your own data securely and at scale. One of the most exciting new ...

Imagine this: you’ve just received a dataset for an urgent project. At first glance, it’s a mess—duplicate entries, missing values, inconsistent formats, and columns that don’t make sense. You know ...