The procedure known as ETL (extract, transform, load) is frequently used in data management to extract data from various sources, transform it into a format suitable for analysis or storage, and load it into a target system, such as a data warehouse. Data mining is a process that analyzes massive databases to find patterns and relationships that can be used to forecast the future or guide decisions. Due to the frequent usage of ETL in data preparation for analysis, it can be a part of the data mining process. To analyze the data using data mining techniques, you might utilize ETL to extract the data from various sources, clean and transform it, and then put it into a data warehouse. ETL and data mining, on the other hand, are two distinct procedures that can be employed separately.