The implementation of predictive maintenance is simple with DataStreams. ETL jobs should be transferred from outdated systems to quicker, cloud-based platforms for batch and real-time processing. It is important to be able to accurately predict when a failure will occur so that you can repair or replace equipment. To achieve better prediction accuracy, we can combine historical and real-time sensor data with external data before staging it for advanced analytics and ML/AI.