I’ve been working with Microsoft BI tools for 28 years now and for all that time Microsoft has been consistent in its belief ...

LLMs are quietly reshaping data journalism workflows at The Hindu, helping reporters process vast document sets, write ...

I asked 5 data leaders about how they use AI to automate - and end integration nightmares ...

Abstract: With the increasing complexity and diversity of application scenarios in big data environments, database queries are increasingly characterized by hybrid query characteristics, such as multi ...

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 ...

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 ...

Yuki Launches BigQuery Cost Optimization Platform, Eliminating 3-Year Commitments While Cutting BigQuery Spend by Up to 60% Yuki adds an autonomous optimization layer for BigQuery that routes every ...

Yuki adds an autonomous optimization layer for BigQuery that routes every job to the most efficient compute option in real time, without code changes, manual tuning, or long-term reservation lock-in.

So many cool Fabric features get announced at Fabcon that it’s easy to miss some of them. The fact that you can now not only generate Excel files from Fabric Dataflows Gen2, but that you have so much ...

Abstract: With the advent of the Big Data era, it is usually computationally expensive to calculate the resource usages of a SQL query with traditional DBMS approaches. Can we estimate the cost of ...