Hadoop/HDFS + PySpark Cluster
Problem
A data volume that exceeded what traditional tools could process efficiently.
Data
Data that required a distributed architecture to process at scale.
Engineering
Design and implementation of a Hadoop/HDFS cluster with PySpark, validated in the founder's Master's thesis in Data Analytics (Universidad Central).
Intelligence
Analytics over large-scale distributed data.
Solution
Scalable processing infrastructure, replicable for client projects handling large data volumes.
Result
Distributed processing architecture validated; exact production impact pending confirmation with the specific client project that put it into production.
TODO-BIT: this result is an approved draft placeholder; replace with the real figure before publishing to production.
TODO-BIT: confirm which client project (not just the thesis) took this cluster into production, and with what impact figure.