I’ve been working with Microsoft BI tools for 28 years now and for all that time Microsoft has been consistent in its belief ...
Artificial intelligence is rapidly entering nearly every stage of the software development lifecycle. From code generation to ...
A Compiler-Centric Approach for Modern Workloads and Heterogeneous Hardware. Michael Jungmair Technical University of Munich ...
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 ...
Proprietary warehouses delivered scale — but at the cost of control, predictable pricing, and real flexibility. Enterprises are doing the math.
Unlock the full InfoQ experience by logging in! Stay updated with your favorite authors and topics, engage with content, and download exclusive resources. Agent workflows make transport a first-order ...
Unlock the full InfoQ experience by logging in! Stay updated with your favorite authors and topics, engage with content, and download exclusive resources. Agent workflows make transport a first-order ...
The ability to write parts of SQL queries in natural language will help developers speed up their work, analysts say. Google is previewing a new AI-driven feature in its BigQuery data warehouse that ...
Have you ever wished your Excel formulas could think like reusable building blocks instead of static, one-off instructions? Imagine creating a single formula that adapts dynamically to your data, ...
The new managed functions will let enterprises apply LLM reasoning to structured and unstructured data directly in SQL, eliminating prompt tuning and external tools. Google has boosted its BigQuery ...
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