Sentence examples for high volume data processing from inspiring English sources
A Smart Manufacturing (SM) system should be capable of handling high volume data, processing high velocity data and manipulating high variety data.
This requires applying complex processing operators on high volume data; information extraction tasks such as person identification from multimedia surveillance data is difficult in resource-constrained environments where I/O storage limitations, transmission delay, bandwidth restrictions, and packet losses may prevent the capture of high quality data.
The fact that the patterning can be done over large areas is particularly attractive in connection with the manufacturing of high-volume data storage and high-speed data-processing components.
High-volume data impose limits to storage technologies, processing capabilities and database modelling.
This need for ever faster data processing and manipulation as well as algorithms that scale to high-volume data sets have given birth to a new paradigm or discipline known as "data-intensive computing".
Software level designing has the upper hand to hardware level designing in terms of validating several conditions, handling add-in functionality for the system and easier configurability, where as hardware is faster and functionally superior to software in terms of processing high volume of data for computation.
Big Data solutions require high volume of data storage and high velocity in processing.
In the context of today's complex, data-rich environment, cloud platforms are well suited to processing the varied nature and high volume of data, including multimedia.
Advanced Algorithms: Standard algorithms used in regular applications may not be sufficient or efficient enough to handle big data applications due to their unique requirements and pressing need for high volume high speed processing.
Due to the high volume of data, it is common practice to use Big Data frameworks like Apache's Hadoop or Apache's Spark [13] for processing the historical data.
