As modern applications continue to grow in size and complexity, the traditional approach of using a single, general-purpose database is quickly becoming obsolete. Real-time search, transactional ...

SQL Server and Cosmos DB added to data lake platform as lure for building AI features into transactional systems Microsoft is ...

The goal of data architecture is to translate business needs into data and system requirements, and to manage data and its flow through the enterprise. Many organizations today are looking to ...

Learn More For years, enterprise companies have been plagued by data silos separating transactional ... the ability to unify disparate systems into a cohesive architecture is no longer optional ...

Founders: Aerospike Founder and CTO Srini Srinivasan explains why real-time data architecture is crucial for scaling AI, ...

developing data-centric offers for ecommerce, or accelerating transactional systems—while lowering their TCO, according to the companies. At its core, SnapLogic and Syndigo’s collaboration seeks to ...

But if the logic and architecture of data systems do not align with the data’s inherent characteristics, it can result in problems such as model prediction errors, poor generalization ability ...

The VAST Data Platform, which seamlessly combines storage, databases, and virtualized compute engine services into a unified AI operating system, has consolidated transactional, analytical ...

More than 400 million terabytes of digital data are generated every day, according to market researcher Statista, including data created, captured, copied and consumed worldwide. By 2028 the total ...