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.

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 ...

To many, Big Data goes hand-in-hand with Hadoop + MapReduce. But MPP (Massively Parallel Processing) and data warehouse appliances are Big Data technologies too. The MapReduce and MPP worlds have ...

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 ...

In-memory data grid (IMDG) specialist Hazelcast Inc. yesterday launched a new distributed processing engine for Big Data streams. The open-source, Apache 2-licenced Hazelcast Jet is designed to ...

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 ...

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 ...

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 ...

The course covers principles of distributed processing systems for big data, including distributed file systems (such as Hadoop); distributed computation models (such as MapReduce); resilient ...