Data as a service (DaaS) is a business-centric service that transforms raw data into meaningful and reusable data assets, and delivers these data assets on-demand via a standard connectivity protocol ...

Wik says the immediate, as-a-Service availability of big data analytics creates some troubling questions, not only from a business standpoint, but from an ethics standpoint as well.

The service provides analytical tools and applications for making sense of that messy, unstructured data and has trained 4,000 consultants to help businesses put plans into action to profit from them.

Data as a Service in a Hybrid, Multicloud World. July 8, 2019 Jeffrey Burt Store 0. As it was emerging, cloud computing was seen as a fairly straight-up proposition for enterprises of finding a cloud, ...

This isn’t to suggest that the evolving HPC-as-a-service model is flawless. Having big data analytics workloads run both in the cloud and on-premises can pose security challenges.

"Successful Big Data-as-a-Service implementation would require close collaboration between Enterprise Architects, Data Architects, Database admin, BI and DW SMEs, SOA experts, ...