  Big data processing is a hot topic in today's computer science world. There
is a significant demand for analysing big data to satisfy many requirements of
many industries. Emergence of the Kappa architecture created a strong
requirement for a highly capable and efficient data processing engine.
Therefore data processing engines such as Apache Flink and Apache Spark emerged
in open source world to fulfil that efficient and high performing data
processing requirement. There are many available benchmarks to evaluate those
two data processing engines. But complex deployment patterns and dependencies
make those benchmarks very difficult to reproduce by our own. This project has
two main goals. They are making few of community accepted benchmarks easily
reproducible on cloud and validate the performance claimed by those studies.
