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

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 ...

Data architecture translates business needs into data and system requirements, and seeks to manage data and its flow through the enterprise.

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

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 ...

In this paper, the authors have proposed an architecture for management of data in cloud termed as “Cloud Database Management System Architecture”.

Dheeraj Yadav is a distinguished database architect with over 18 years of experience in enterprise database solutions.

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.

In an industrial control system, integration of an IMDS within a controller supports a ‘flattened’ control system architecture in which data is stored and processed, and some control decisions occur, ...