Your English writing platform
Discover LudwigExact(34)
It also includes the development of large-scale data processing software systems.
Large-scale data processing applications often coordinate effort among multiple computers.
Within the past few years, organizations in diverse industries have adopted MapReduce-based systems for large-scale data processing.
MapReduce-like frameworks have achieved tremendous success for large-scale data processing in data centers.
These considerations led us to use cloud computing to meet large-scale data processing requirements.
CEO and President, A.R.O., Inc. Andy Hickl is an innovator in machine learning, large-scale data processing, ubiquitous computing, and natural language processing.
Similar(26)
The emerging Internet of Things and Smart Cities scenarios also confirm the requirement for real time, large scale data processing.
Because cloud computing addresses a key difficulties surrounding large scale data processing, and because there are many difficulties that current technology is facing with there is a need to find ways improving the services to the client by introducing new techniques for upgrading the service.
From that necessity ERMA was born, one of the first large scale data processing machines for business.
MapReduce [1] is considered one of the most prominent programming models for problems of large scale data processing of which the cluster analysis.
Although there is a variety of parallel programming models, the MapReduce paradigm is considered as the most prominent model for problems of large scale data processing of which the clustering.
Write better and faster with AI suggestions while staying true to your unique style.
Since I tried Ludwig back in 2017, I have been constantly using it in both editing and translation. Ever since, I suggest it to my translators at ProSciEditing.

Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com