Caringo sees its enhanced search capabilities as enabling Swarm’s ability to handle additional tasks, including facilitating Big Data analytics.
Big Data
Big Data, Cloud
Microsoft touts innovative nature of new Dynamics AX, native to Azure
by Mark Cox •
Big Data
HDS moves beyond legacy heritage with scale-out appliance for Big Data and IoT
by Mark Cox •
The Hitachi Hyper Scale-Out Platform, a new, next-generation technology, leverages technology acquired with Pentaho last year to provide an appliance that is aimed at Big Data, Data Lake and Internet of Things use cases now, and at broader use cases once an all-flash version is available later this year.
Big Data, Distribution, Unified Communications
New Avaya Americas International channel chief Aguirre to work with Canada channel chief Auld
by Mark Cox •
Big Data, Cloud, Hardware
Recurring revenue model key to Internet of Things success
by Mark Cox •
Big Data, Cloud, Servers, Software
Lenovo, SAP expand alliance with new joint techs, go-to-market programs
by Mark Cox •
Big Data
Hadoop well past novelty stage: Syncsort survey
by Mark Cox •
Syncsort says the results from a recent survey dovetail with what they are seeing from their own customers — that customers are increasingly moving to Hadoop, and that while much of this to date has been for operational use cases, they expect to see more transformative uses that drive new business opportunities.
Big Data, Security
IT security making poor use of analytics, Big Data: HPE
by Mark Cox •
Big Data, Cloud, Networking
HPE debuts first IoT devices
by Robert Dutt •
Big Data, Cloud, E-commerce
Inside SAP Anywhere
by Mark Cox •
Big Data, Cloud, Hardware
HPE beefs up IoT strategy with new business unit, Intel partnership
by Mark Cox •
Big Data, Storage
EMC’s shift in Data Lake strategy opens up new partner opportunities
by Mark Cox •
EMC’s Data Lake 2.0 significantly enhances the original core-focused Data Lake strategy by extending it to the edge and the cloud, as well as strengthening the core. This is also likely to expand partner opportunities somewhat beyond the very limited involvement thought likely when the original Data lake was announced.