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 ...

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

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

Bharat Kumar Dokka is a distinguished Associate Technical Architect with over 15 years of experience in database product ...

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 ...

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

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

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.

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 ...

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