Case Study: Retail Near Real-time Analytics | 317
• Retailing is an important component of the
overall supply chain of a commodity.
• Stopping customer churn or customer
retention is an essential activity for a
retailer. For that, it is important to under-
stand the customer behaviour.
• The NRT analytics application is imple-
mented to study customer behaviour
for streaming customer real-time data.
However, it starts by creating a process to
persist the incoming streaming data into a
data pool.
• Analytics can be applied (and some already
applied) on the persisted data.
Multiple-choice Questions (1 Mark Questions)
1. Retail means sale of ______.
a. Goods
b. Services
c. All the above
d. None of the above
2. Customer churn means customers ______
a company.
a. Joining
b. Leaving
c. Happy
d. None of the above
3. To retain customers, it is very important to
understand their ______ .
a. Job
b. Qualification
c. Behaviour
d. Skills
4. In a given solution, streaming data input
can be received using ______.
a. Kafka producer
b. Scala
c. Kafka consumer
d. None of the above
5. Cassandra can be used as a ______ in a
solution implemented in Big Data.
a. Broker
b. Message queue
c. Data repository
d. None of the above
Short-answer Type Questions (5 Marks Questions)
1. What is retail? Why is it important?
2. Explain briefly the concept of supply chain
in retail.
3. Can negative feeling of a customer for a
company’s product lead to moving out
of the customer for a different company’s
product? Explain with example.
4. Explain how knowing a customer’s
behaviour can help in retaining the
customer.
5. Give example of a sample retail transaction
data. Show how the transaction data struc-
ture can be mapped to a schema.
6. Explain the operation of Kafka producer
vs. Kafka consumer.
7. Write short notes on any two of the
following.
a. Customer churn
b. Elements of retail business
c. Scala
M12 Big Data Simplified XXXX 01.indd 317 5/13/2019 10:02:14 PM
M12 Big Data Simplified XXXX 01.indd 318 5/13/2019 10:02:14 PM
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