A major telecommunication company has millions of customers. Most of their customers are prepaid. Being
prepaid customers, they can very easily switch to other vendors. The last four to six months, this company has
lost quite a good number of customers to competition. They intend to build a system that can provide them with
insight into the customer’s social network (e.g. who is the influencer and who is the follower). They also want
the ability to monitor the voice and data usage patterns in real time and they want the system to be trained over
time to predict possible dissatisfactions. Given this scenario, which one of the following would you
recommend?

A.
Hadoop

B.
Spark

C.
Cloudant

D.
Netezza