Existing distributed computing frameworks are failing to keep a lid on the growing computational, memory and even energy costs resulting from the constantly expanding volume Big Data for anything ...

As someone who has spent the better part of two decades optimizing distributed systems—from early MapReduce clusters to ...

Nikita has led GridGain to develop advanced and distributed in-memory data processing technologies – the top Java in-memory data fabric starting every 10 seconds around the world today.

NEW YORK, Nov. 29, 2019 /PRNewswire/ -- Saturn Cloud, a provider of data science tools, today announced it has launched the first-ever commercial offering of Dask, a Python-native parallel ...

Hadoop Distributed File System that provides high-throughput access to application data; Hadoop YARN for job scheduling and cluster resource management; Hadoop MapReduce for parallel processing of big ...

Parallel computing has long been a stumbling block for scaling big data and AI applications (not to mention HPC), and Ray provides a simplified path forward. “There’s a huge gap between what it takes ...

IBM just launched a Smarter Computing Initiative designed to help its customers use Big Data processing and storage techniques. It was a large announcement containing many disk and tape storage ...

The course covers basic principles of systems for distributed processing of big data including distributed file systems; distributed computation models such as Mapreduce, resilient distributed ...

In the ever-expanding realm of data processing and analytics, two heavyweight contenders − massively parallel processing (MPP) and big data − have been vying for dominance.. Each brings its ...