ETLruns

ETLruns refers to the execution of an Extract, Transform, Load (ETL) process. ETL is a fundamental data integration process used in data warehousing and business intelligence. The Extract phase involves reading data from one or more source systems, such as databases, flat files, or APIs. The Transform phase cleans, validates, and modifies the extracted data to conform to a predefined schema or business rules. This can include aggregation, deduplication, and data type conversions. Finally, the Load phase inserts the transformed data into a target system, typically a data warehouse or data mart, making it available for analysis and reporting.

Each instance of an ETL process being initiated and completed is considered an ETLrun. Monitoring ETLruns is crucial for ensuring data quality and system reliability. Tracking the success or failure of ETLruns, their duration, and the volume of data processed helps identify performance bottlenecks and data integration issues. Automated scheduling tools are commonly used to manage and trigger ETLruns at regular intervals, such as daily, weekly, or hourly, depending on business requirements. Understanding ETLruns is key to maintaining the integrity and availability of data used for decision-making.