Modern business intelligence demands speed, and utilizing AI tools for Excel is the ultimate way to hyper-charge your data workflows this year.

Spread the love“`html In the ever-evolving world of online retail, understanding customer feedback is crucial for maintaining a competitive edge. Google Cloud has recently launched a groundbreaking ...

Generative artificial intelligence (AI) may have planted the seeds for the ongoing fervour over AI, but agentic AI is the true breakthrough that will revolutionise enterprise data pipelines and ...

This is a performance testing framework for Spark SQL in Apache Spark 2.2+. The framework contains twelve benchmarks that can be executed in local mode. They are organized into three classes and ...

Paytm has developed Prism, a proprietary AI-powered multi-agent system that ranked No. 2 globally on the Spider 2.0 Snow ...

Abstract: The iceberg cubing problem is to compute the multidimensional group-by partitions that satisfy given aggregation constraints. Pruning unproductive computation for iceberg cubing when ...

Stonebraker essentially abandoned Postgres in the mid-1990s. But instead of fading into obscurity, the codebase was salvaged ...

Refinery strives to make running migrations for different databases as easy as possible. It works by running your migrations on a provided database connection, either by embedding them on your Rust ...

Abstract: User-Defined-Functions (UDFs) are a pivotal feature in modern DBMS, enabling the extension of native DBMS functionality with custom logic. However, the integration of UDFs into query ...