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 ...

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

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

Enterprise database architectures use three DBMS schema layers to separate the system into internal, external and conceptual tiers. Here's how they work.

One feature of the big data revolution is the acknowledgement that a single database management system architecture cannot meet all needs. However, the Lambda Architecture provides a useful pattern ...

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 ...

Lambda Architecture proposes a simpler, elegant paradigm designed to process large amounts of data. In this article, author discusses Lambda Architecture with the help of a sample Java application.

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

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