Sentence examples for the massive data processing from inspiring English sources

On the other hand, both the industrial and academic communities hope to use the unique features of NoSQL to solve the massive data processing problems.

With the advent of the era of big data, the demand of massive data processing applications is also growing.

However, the existing fault location technology and massive data processing capacity cannot meet the demand of smart grid.

The rise of different big data frameworks such as Apache Hadoop and, more recently, Spark, for massive data processing based on the MapReduce paradigm has allowed for the efficient utilisation of data mining methods and machine learning algorithms in different domains.

Its basic software is Hadoop which uses the MapReduce model for parallel data extraction, transformation and access across multiple files, demonstrating efficient massive data processing.

Hadoop is an open source framework developed by Apache and it is a platform that can store and manage large volumes of data and it also provides a relatively easy way to write and run applications for massive data processing.

Cloud-based system architectures provide many advantages in terms of scalability, maintainability and massive data processing.

Massive data processing problem of manually modeling and numerical analysis is solved, and the authenticity of simulation is enhanced.

While the sequential codes in the complex control sequences of the algorithm run in Scalar mode, the parallel codes of the massive image data processing operation are accelerated in the SIMD mode or the VLIW mode.

Gathering massive data and processing it in a computationally efficient manner is not just an afterthought; it decides about the part of the digital world (and conversely that of the human world) we are able to capture.

Also, cloud environments are increasingly becoming popular as a solution for massive data management, processing, and analysis [ 19, 20, 24].