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 ...
Recent SQL Server 2025, Azure SQL, SSMS 22 and Fabric announcements highlight new event streaming and vector search capabilities, plus expanding monitoring and ontology tooling -- with tradeoffs in ...
Learn how Power BI Analytics in Microsoft BI uses data modeling, DAX, Power Query M, and a data gateway to build secure, ...
AI risk lives at the schema layer, not the model. Learn why database governance matters more than model governance for ...
Arrow-Based SQL Engine for Iceberg: Dremio's query engine was built natively on Apache Arrow, the open columnar standard Dremio co-created, making it uniquely suited for Iceberg workloads. It ...
AI knows what ‘churn’ means in a dictionary, but it doesn't know how your company defines it. Analysts are the secret sauce ...
Capturing tribal knowledge organically and creating a living metadata store that informs every AI interaction with ...
I’ve been working with Microsoft BI tools for 28 years now and for all that time Microsoft has been consistent in its belief ...
Transitive 2.0 adds ClickHouse, Grafana, and Alertmanager, offering advanced storage and monitoring to help scale growing ...
Kumo, a leader in predictive AI, today announced its launch of KumoRFM-2, the first foundation model to outperform fully supervised machine learning on enterprise relational data. Built by the team ...
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