The rise of interconnected data means businesses need to look past standard relational databases. “Having the ability to store it as interconnected graphs would be more powerful,” said Nadkarni. “The ...

Keyword search in graphs and relational databases constitutes a pivotal research domain that seeks to bridge the gap between natural language queries and complex data repositories. By enabling ...

In a landscape where data lakes and warehouses have long been treated as distinct and often incompatible tools, the lakehouse ...

The long-held belief that "data is an asset" has led to data hoarding—large ecosystems built without a clear purpose, often ...

Graph databases and knowledge graphs ... and best practices shaping how enterprises achieve true data democratization amid its steep requirements. Migrating your Oracle database to AWS Relational ...

Angelo Libertucci, global head of industry for telecom at Google Cloud, discusses the hyperscaler’s recently unveiled ...

IEEE Spatial Web chair George Percivall explains how the recently-approved IEEE P2874 Spatial Web Standard complements ...

vectors or graphs. Data structuring techniques vary based on the type and purpose of the data. For example, relational databases store data in tables with rows and columns, making them ideal for ...

And compared to the relational version, it’s better at managing massive amounts of unstructured data, horizontal flexibility, and schema flexibility. NoSQL databases are more flexible when it ...

Python continues to dominate data science with its ease of use and vast libraries.R remains a favorite for statistics and ...