Overview: Text-to-SQL simplifies queries but can misinterpret data structures and phrases.Ensuring up-to-date schema info and providing examples improves accura ...
In the meantime, the big question for data leaders is where to implement this logic. The market has split into two ...
AI Automators explores the innovative techniques behind crafting intelligent database agents that evolve with use. You’ll uncover how natural language queries (NLQ) bridge the gap between human intent ...
A common SQL habit is to use SELECT * on a query, because it’s tedious to list all the columns you need. Plus, sometimes those columns may change over time, so why not just do things the easy way? But ...
This extends even further outside of SQL, where the LLM is equipped to handle tasks for decision-making relating to time-series, graph, and spatial expertise. “Kinetica has led the market with ...
At Microsoft Build, SQL Server 2025 enters public preview with major enhancements in AI integration, performance, reliability and developer tools -- reaffirming Microsoft’s continued investment in its ...
Object storage is winning the battle for big data storage in such a convincing fashion that database makers are beginning to cede data storage to object storage vendors and concentrating instead on ...
Microsoft is integrating AI features directly into SQL Server for the first time. The new version also brings JSON support ...
Online analytical processing (OLAP) databases are purpose-built for handling analytical queries. Analytical queries run on online transaction-processing (OLTP) databases often take a long time to ...
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