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 ...

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 ...

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 ...

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 ...

Async I/O and UUID v7 highlights of the September release, though some SQL features are delayed Users and developers can ...

Traditional architecture and technologies and newer big data approaches each offer advantages. In a session at Data Summit 2019, titled “Designing a Data Architecture for Modern Business Intelligence ...

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.

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 ...

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 ...