Big data tools, often open sourced (Hadoop), enable the processing of massive amounts of data captured by the devices and will play a crucial role in the space.
The main problem in the process of massive data analysis over cloud using these techniques is the computational costs associated with image processing tasks.
The resulting shortage of lawyers for the poor crippled the justice system, they said, leading to massive disruptions in the processing of cases and inconsistencies in the quality of representation.
(A related area was implicated in the processing of jokes).
Participating in the processing of new shipments.
But high computational complexity limits its application in high throughput processing of massive microarray data.
Many distributed database systems are capable of running MapReduce [ 22] tasks that are suitable for batch processing of massive amounts of data in distributed environments by splitting up big tasks into smaller chunks that can be processed in parallel by many computers.
The massive number of pixels in the original image, points to a data parallel approach, whereas the processing of the various objects in the image is more suitable for task parallelism.
The bottleneck is now in the processing and interpretation of the massive amount of data that are being generated [ 70, 71].
In the presence of massive remote sensing data, the traditional processing methods have the problems of low efficiency and lack of scalability, so this paper uses open source big data technology to improve it.
