It’s easy to get caught up in technology wars—Python versus Java versus NextBigLanguage—but the hardest part of AI isn’t the tools, it’s the people. Domain knowledge, skills, and adoption matter more ...

Abstract: Document databases are increasingly popular in various applications, but their queries are challenging to write due to the flexible and complex data model underlying document databases. This ...

Microsoft Fabric is an end-to-end suite of cloud-based tools for data analytics, encompassing data movement, data storage, data engineering, data integration, data science, real-time analytics, and ...

Abstract: The paper extends on previously proposed database concepts and their use as mapping point to a database in a domain ontology. It describes the process of constructing SQL queries from them.

Oracle Database is a database commonly used for running online transaction processing (OLTP), data warehousing (DW) and mixed (OLTP & DW) database workloads. Oracle Database is available by several ...

Data queries written in Python, a commonly used programming language, can grind data analytics platforms to a crawl, but a new platform developed by researchers from Brown and MIT may finally solve ...

In the most recent releases, SQL Server went beyond relational data and enabled support for graph data, R, and Python machine learning, while making SQL Server available on Linux and containers in ...