What key insight does the ETL process provide in PSE Cortex?

The ETL (Extract, Transform, Load) process is crucial in preparing data for thorough analysis. By extracting data from various sources, transforming it into a suitable format, and loading it into a data storage system, ETL ensures that the data is clean, consistent, and structured for analytical tasks. This preparation is essential for analyzing data effectively, allowing for deeper insights and better decision-making.

While accuracy is a significant concern in data handling, the ETL process itself does not guarantee that all data will always be accurate; it primarily focuses on the preparation aspect. Moreover, collecting data from irrelevant sources contradicts the goal of ETL, which aims to bring in relevant and valuable data for analysis. Finally, while real-time data updates can be important in certain systems, traditional ETL processes typically operate in batch modes rather than providing immediate updates. Thus, the primary insight from the ETL process in PSE Cortex is its role in preparing data for thorough analysis.