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.

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.

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

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.

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, ...

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 ...

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.