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

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 ...

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

In development and validation, our focus shifts to the solution and how to bring it to life, starting with creation and ...

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

Distributed file systems have emerged as dynamic and scalable storage solutions. We explore the architectures of three distributed file systems: Google File System (GFS), Tectonic, and JuiceFS.

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.

From AI and machine learning, to data discovery and real-time analytics, a strong data architecture strategy is critical to supporting an organization’s data-driven goals. Greater speed, flexibility, ...