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Learn how Power BI Analytics in Microsoft BI uses data modeling, DAX, Power Query M, and a data gateway to build secure, ...

A workaround to allow you to create multiple tables in a Direct Lake semantic model linked to the same table in OneLake ...

The purpose of the Text-to-SQL task is to bridge the gap between natural language and SQL queries. Current approaches mainly rely on large language models (LLMs), but employing them for Text-to-SQL ha ...

Yuki Launches BigQuery Cost Optimization Platform, Eliminating 3-Year Commitments While Cutting BigQuery Spend by Up to 60% ...

Open-source platform with 30+ MCP tools lets AI agents autonomously create pipelines, query databases, search vector ...

AI risk lives at the schema layer, not the model. Learn why database governance matters more than model governance for ...

Capturing tribal knowledge organically and creating a living metadata store that informs every AI interaction with ...

Proprietary warehouses delivered scale — but at the cost of control, predictable pricing, and real flexibility. Enterprises are doing the math.

Discover the top data engineering tools that will revolutionize DevOps teams in 2026. Explore cloud-native platforms designed ...

Before getting into business intelligence tools, it is important to understand what Power BI does first, and then differentiate it with other business intelligence tools. Power BI is a business ...

SQM (Structured Query Model) is a Java framework for representing SQL as a typed immutable model and running end-to-end SQL pipelines. It supports parse, validate, transform/rewrite, render, serialize ...