We continue to see opportunities for iguazio driven by its ability to reduce the complexity of deploying multiple data processing technologies.
We continue to see opportunities for iguazio driven by its ability to reduce the complexity of deploying multiple data processing technologies.
We need a new type of edge, one that is capable of processing data in real-time, rather than simply caching it. And for that processing to be effective, this edge requires ample context with richer historical data and a wider “perspective.”
iguazio’s unified solution simplifies management and maintenance for customers who might otherwise need to deploy multiple data platforms and services to tackle this problem.
Cloudera, MapR, Pentaho and iguazio have announcements around data science, edge computing and continuous data applications.
In the face of so much data, cloud has to start distributing more, Haviv stated. People are going to push a lot more bandwidth along the edge. To handle this, a company will need something like a mini-cloud that sits somewhere between the cloud proper and the edge.
iguazio’s latest solution employs what the company terms a “continuous data consumption” model – ingesting, enriching, analyzing and serving up data.