Part 6/10:
Moving forward, emphasis is placed on data profiling and quality assurance. Accurate data collection, transformation, and validation are essential for reliable insights. Initiatives include deploying sensors and time-series analyses to monitor data flow, detect anomalies, and ensure that data pipelines remain efficient. For instance, automated systems are employed to track file ingestion, process execution, and data transformation quality dynamically.