Hadoop/HDFS + PySpark Cluster
01
Problem
A data volume that exceeded what traditional tools could process efficiently.
02
Data
Data that required a distributed architecture to process at scale.
03
Engineering
Design and implementation of a Hadoop/HDFS cluster with PySpark, validated in the founder's Master's thesis in Data Analytics (Universidad Central).
04
Intelligence
Analytics over large-scale distributed data.
05
Solution
Scalable processing infrastructure, replicable for client projects handling large data volumes.
06
Result
Distributed processing architecture validated; exact production impact pending confirmation with the specific client project that put it into production.