Let's follow up the last column with a step-by-step breakdown shows how the PowerShell script automates SQL Server backups, ...

Google is promising a single notebook environment for machine learning and data analytics, integrating SQL, Python, and ...

Data science is sometimes described as a diverse field. It differs from data analytics in that it calls for domain ...

The "pure SQL" part is important. There have been attempts to get Doom-like games up and running in the past. The excellent DuckDB-DOOM, for example, appeared earlier this year and used SQL for the ...

Multiple factors, ranging from poor data practices to overlooked performance testing, can drag an application down and limit ...

“Fundamentally, the issue that leads to Kerberoasting is bad passwords,” Tim Medin, the researcher who coined the term ...

OpenAI’s models will soon be part of Databricks' tools, as well as available both in SQL or via API. Here's what the latest ...

Just as Google and Apple locked in developer ecosystems during the web and mobile eras, today's protocol pioneers may ...

CData, which has raised over $500 million in venture capital and private equity funding, provides real-time access to more ...

What Kind of AI Agent Do You Need to Develop? Before selecting tools, first answer three core questions to avoid blind investment: 1. Application Scenario: Is it a customer service agent (requiring ...

Peeyush Patel is a seasoned Data and Analytics Engineer with 9 years of experience, based in Nashville, Tennessee. With a strong educational foundation, including a Master of Science in Management ...

Cool demos aren’t enough — your team needs ML chops and context skills to actually get AI agents into production.