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Consulting and Big Data optimization on AWS for fraud prediction

OUR CUSTOMER

Expert in the management and simplification of recurring payments and subscription trading. 

OVERVIEW

CHALLENGE

The migration of Hortonworks to an Amazon EMR cluster was accompanied by a consulting mission to optimize the solution. The objective is to fully exploit the CPU / RAM capacities made available by EMR, to enable the scaling of the solution and thus the construction of a Machine Learning model for fraud prediction.

APPROCHE TEAMWORK

To optimize the use of the EMR cluster and take advantage of its full capacity, our approach was as follows:

  • analysis of the data typology (schema, format…)
  • analysis of the source code of the application launched on the cluster (parallelism, shuffles…)
  • analysis of the EMR cluster configuration (installed applications, number of workers, memory allocation, spots…)

BENEFITS

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