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, ...

In 2026, entry-level and transition roles often expect more than passive course completion. Employers want to see that you can write queries that answer business questions, work with browser logic, ...

Yuki is a real-time data cost optimization platform that routes BigQuery and Snowflake queries to the most efficient compute in real time, with no code changes. Yuki runs privately in your cloud ...

Modern semantic search does not have to require a separate vector database. Data architects, database engineers, developers, or platform leaders can integrate Vertex AI and Cloud SQL vector indexes ...

AI knows what ‘churn’ means in a dictionary, but it doesn't know how your company defines it. Analysts are the secret sauce ...

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

New enterprise connectors for SharePoint Online, OracleDB, SMB, and LDAP expand out-of-the-box data access for AI ...

KeeperDB integrates database access into a zero-trust PAM platform, reducing credential sprawl and improving security, ...

Snowflake is leveraging its Cortex AI suite to transition from a data cloud leader into a dominant force in the enterprise AI infrastructure market.

For conversational interaction to work, voice is merely the top layer. Underneath is a stack most organizations underestimate.