![]() ![]() The ETL process is a group of business rules that determine the data sources used to pull data, transform it into a specific format, and then load it into a database. What Is ETL?ĭata pulled from various sources must be stored in a specific form to allow applications, machine learning, artificial intelligence, and analytics to work with it. The process logic and infrastructure design will depend on the business requirements, data being stored, and whether the format is structured or unstructured. Please note this might not be the correct folder structure since the structure has changed between versions.Extract, transform, and load (ETL) is an important process in data warehousing when businesses need to pull data from multiple sources and store it in a centralized location. Restoring an old backup will place transformation files in the same structure as they were in the backed up system. The transformation files must manually be moved from /data/pentaho_backup into a potential new folder structure (described below). When upgrading from previous versions the old transformation files will be moved into the folder /data/pentaho_backup. T o use the old databases, these must be moved manually which is not recommended. This will allow databases to follow potential new database schema(s). Since no data is stored in the ETL database, it is highly recommended to drop the databases and recreate them rather than moving them. This means that it is always safe to drop any ETL database and recreate it without the risk of losing data. ![]()
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