Consider an international airline which operates both in passenger segment and cargo segment.

For every flight that is flying, the airline capture a lot of data in real time which can be used for

live tracking of flight status, modelling the flight schedules as well as for preventive maintenance

schedule etc. Also at the same time, the same data was used for various analytical purposes which

are oriented towards improving the airline operations and also for the predicting the passenger

loads, cargo loads in near future and devising the marketing strategies around it$.$ Identify the

appropriate data processing architecture that can help in achieving these use cases. With a help of

architectural diagram, represent the proposed system architecture.

Answer:

Its case of Lambda architecture as data needs to be processed in batch mode as well as in real time

mode.

Identification of the architecture type

Drawing each of the following system component explaining scenarios for the processing

across batch and streaming layers

$$ Source data representation

$$ Batch layer

$$ Speed layer

$$ Serving layer

$$ Query layer