Sentence examples for massive data processing from inspiring English sources

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

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

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.

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.

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.

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].

However, all these methods need massive data pre-processing for each single fault, and loop simplification, data matching, and information fusion, which are complicated and unfeasible.

We are what we contribute to data processing.

Standard curves were generated for data processing.