Data pipeline automation is the process of setting up systems that move and transform data from one place to another without manual intervention. It involves connecting data sources, processing the data, and delivering it to its destination automatically. This helps organisations save time, reduce errors, and ensure that data is always up to date.
Category: Data Engineering
Data Cleansing
Data cleansing is the process of detecting and correcting errors or inconsistencies in data to improve its quality. It involves removing duplicate entries, fixing formatting issues, and filling in missing information so that the data is accurate and reliable. Clean data helps organisations make better decisions and reduces the risk of mistakes caused by incorrect…