Application of machine learning algorithms to detect anomalies in data ingestion.
Challenge: To manage Big Data, it is necessary to ingest data from multiple sources, which implies having a verification process of the information that is being stored and ensuring reliable data.
Solution: The implementation of Machine Learning models was used to detect anomalies in the data ingestion in the Aeronautical platform.
Results: Improved efficient data ingestion, verified with reliable data, and an online anomaly detection system that allows pertinent adjustments to maintain reliable data from the beginning.