SQL remains the foundation for turning raw records into reports and business insights across industriesCore queries like ...
The additions let data teams ask progressive, context‑aware questions in natural language while enabling developers to deploy governed analytics agents across applications via unified API endpoints.
1. The "quarantine" pattern is mandatory: In many modern data organizations, engineers favor the "ELT" approach. They dump raw data into a lake and clean it up later. For AI Agents, this is ...
Overview: Python and SQL form the core data science foundation, enabling fast analysis, smooth cloud integration, and ...
Discover the best business intelligence (BI) tools of 2026 that help enterprises transform data into actionable insights.
Fragmented stacks, hand-coded ETL and static dashboards are dead; AI is forcing data management to finally grow up in 2026.
Early signs point to a paradigm shift in how businesses use static dashboard reporting as their primary source of business intelligence (BI) and whether or not these types of systems will continue to ...
Back when Parth started, he immersed himself in monitoring systems. He built dashboards with tools like Splunk and AppDynamics, pulled in data from databases like MongoDB and SQL, and set up ...
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 ...
Zomato Restaurant Data Analysis Project This project involved analyzing Zomato restaurant data using advanced Excel functions and SQL queries, and creating interactive dashboards using Power BI and ...
For VisitBritain, data has always been part of the story. As the UK’s national tourism agency, it depends on accurate insight to help regions, small businesses, and policymakers make better decisions.
Some results have been hidden because they may be inaccessible to you
Show inaccessible results