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 ...

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 ...

Our partners at Metricsedge have recently updated Boise State’s Google Analytics dashboards for our campus web and marketing community. Available by request through the Help Desk, the new dashboards ...

Abstract: Generating accurate SQL from users' natural language questions (text-to-SQL) remains a long-standing challenge due to the complexities involved in user question understanding, database ...

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Create a comprehensive Model Context Protocol (MCP) tool ecosystem that enables AI agents to automatically generate interactive dashboards from database schemas. This feature will allow users to ...