Architecting the Enterprise via Big Data Analytics • 11
even generate “ash” groups. Our interest here, however, is to understand
what is dierent about the data processing required to provide such a ser-
vice. As observed earlier, the dierentiating property of big data is the
amount of detail that can be provided. In this case, detail about the inter-
ests of tens or hundreds of millions of people, as reected by data from
search engines, social networks, specic interest (e.g., health- related) sites,
tweets, or other sources, is well beyond anything available in the trans-
actional world. It is possible, of course, that transactional data would also
be used in such a service. Location data, also reecting the position of tens
or hundreds of ...