A Reference Architecture for Self–Service Analytics To succeed with self-service analytics, organizations need a reference architecture that maps business users, technology, and developers to an ...

A Data Refinery unit is introduced to clean up and organize the data for analytics purposes. Extra Large Web Reference Architecture ...

We introduce new architectures for real-time analytics that are built for speed, simplicity and scale. These modern data stacks for logistics tracking, real-time customer 360s, personalization and ...

SAN JOSE, Calif., Sept. 12, 2017 — Vexata (@VexataCorp), a leader in high performance data storage infrastructure for enterprise and cloud datacenters, announced today the availability of its industry ...

Before enterprises create data architecture for business intelligence and analytics, there are a few key components they need to consider. Richard Sherman, founder of Athena IT Solutions, took part in ...

The Intelligence Community just signed and will soon release a data reference architecture intended to help its 18 elements connect siloed data across their distributed ecosystem, according to Chief ...

Analytics must be thought of as an intrinsic software layer, says an executive behind a real-time analytics database geared specifically toward powering analytical applications. The reason is that ...

Discover best practices that allow data pipelines to scale and support both structured and unstructured data.

Database management provider SingleStore announced today it has added a Universal Storage capability to simultaneously support transaction applications that store data in rows and analytics ...

A technical paper titled “Darwin: A DRAM-based Multi-level Processing-in-Memory Architecture for Data Analytics” was published by researchers at Korea Advanced Institute of Science & Technology (KAIST ...