In this article, author Juan Pan discusses the data sharding architecture patterns in a distributed database system. She explains how Apache ShardingSphere project solves the data sharding ...

The Data Architecture Crisis: Why Legacy Systems Are Holding Businesses Back For decades, organizations have approached data architecture with a monolithic mindset—centralized platforms, complex ...

Srikanth Gorle's research focuses on creating transparent, privacy-aware, and scalable data systems by applying Explainable ...

The world is more connected, and our data is more intricate than it was in the dominant era of the relational database.

Part 2 of CRN’s Big Data 100 takes a look at the vendors solution providers should know in the database system space including Cockroach Labs, MongoDB, MariaDB and Redis Labs.

Exploring System Architectures For Data-Intensive Applications Computer, memory, network and storage performance have all evolved at different rates, causing data bottlenecks.

Enterprises are increasingly focused on unifying their enterprisewide data and designing architectures to maximize the usefulness and accessibility of that data Enterprises have always been ...

Leading graph database builder Ultipa presents paper on highly scalable graph database system architecture design with 3 architectures: HTAP, Grid and Shard.

Processing, dissemination and exploitation of data and intel requires advanced sensors and systems, not to mention a robust and future-focused command and control environment.