Enterprises can use big data analytics tools to process structured, unstructured, or semi-structured data from multiple sources. Without these tools, big data would be impossible to manage. In ...

Dedicated Big Data Cluster Allocation Model. The dedicated big data cluster is designed to support rapid prototyping of data-intensive work, at a smaller scale than the Supercomputer Cedar. It ...

By Ujjwal Negi and Prashant Dixit. In the evolving landscape of data storage, computational storage devices (CSDs) are revolutionizing how we process and store data. By embedding processing ...

Part 5 of CRN’s Big Data 100 takes a look at the vendors solution providers should know in the data management and data integration tool space.

On the road to faster and more efficient data storage Date: August 17, 2021 Source: University of Konstanz Summary: A research team has discovered magnetic phenomena in antiferromagnets that could ...

At the edge, data pre-processing and reduction, perhaps using machine learning, reduces bandwidth requirements to data centers. In big data applications, sharing a pool of storage and/or memory ...

However, the onboard processors of computational storage make them ideal for specific data-intensive processing tasks. Some examples include real-time data analysis, machine learning and video ...

The EDA process is generating huge amounts of data, and that data needs to be stored somewhere. But whether that data gets analyzed and stored on-premises or in the cloud is less about running out of ...