Page 76 - Big data - Concept and application for telecommunications

2 Big data - Concept and application for telecommunications 2

Figure 6-2 – Major patterns of big data exchange

As shown in Figure 6-2, the major patterns of big data exchange rely on the use of three entities:
1) data source: An entity which collects dataset and big data service's output and exports them to the
intermediator (in the case of intermediary exchange) or to the data target (in the case of direct
exchange);
2) intermediator: An entity which imports datasets or big data service's output from a data source and
exports them as datasets or big data service's output to a data target;

NOTE 1 – The intermediator may process raw datasets and produce the processed dataset by data processing,
such as data collection, preparation, analysis and visualization.
3) data target: An entity which requests the intermediator (in case of intermediary exchange) or the
data source (in case of direct exchange) for a dataset or a big data service's output and imports a
dataset or big data service's output from the intermediator or the data source.
Examples of big data exchange relationships based on general concept aligning in a big data ecosystem are
shown in Figure 6-3.

Figure 6-3 – Example of big data exchanges in a big data ecosystem

As shown in Figure 6-3:

– data suppliers export raw data to big data service provider #A; Each data supplier acts as a data
source while big data service provider #A acts as an intermediary;

68 Moving data – Data exchange and data flow