The ETL frameworks Kishore Ande implemented ensured not only operational efficiency but also data quality—a critical prerequisite for advanced analytics and, eventually, artificial intelligence ...

Jiangsu Collective Procurement Supply Chain Management Co., Ltd. recently announced that it has applied for a patent titled "Big Data Middle Platform System for Collective Management of Suppliers and ...

A deeper issue lies in the "generation gap" between the demand side and the implementation side of data integration: IT teams pursue a stable, scalable, and easy-to-maintain technical architecture, ...

The global data mesh market is expected to grow at a compound annual growth rate (CAGR) of 16.4% over the course of the forecast period, from an estimated USD 1.2 billion in 2023 ...

In modern manufacturing, data has become just as critical as raw materials and skilled labor. From machine sensors and production lines to supply chain and qual ...

At its Excelerate 2025 conference, Earnix, the leader in Dynamic AI for insurance, announced a new suite of solutions ...

This protocol generates consensus tandem repeat genotypes by integrating calls from the tools HipSTR, GangSTR, adVNTR and ExpansionHunter and provides guidance for population-level identification of ...

DBTA's webinar, Succeeding with Modern Data Applications, gathered a series of experts to evaluate key technologies, tools, and best practices for developing modern data apps that enable a data-driven ...

The intersection of cloud architecture, data engineering, and artificial intelligence continues to reshape enterprise technology landscapes, with seasoned practitioners bringing decades of experience ...