⊿ Point. {R} Glossary. ◢ Keyword: E. ▰ Sources. 〓 Books [B] ◥ University. {q} PhD. ⏫ THEMES. ⏫ Big Data. [B] Big Data. ⚫ USA. ↂ EndNote. ☢️ ELT. ☝️ BD Dummies. ETL (extract, transform, load) Procedure in computing In computing, extract, transform, load (ETL) is a three-phase process where data is extracted, transformed (cleaned, sanitized, scrubbed) and loaded into an output data container. The data can be collated from one or more sources and it can also be outputted to one or more destinations. ETL processing is typically executed using software applications but it can also be done manually by system operators.
ETL software typically automates the entire process and can be run manually or on reoccurring schedules either as single jobs or aggregated into a batch of jobs. Conventional ETL diagram[1] A properly designed ETL system extracts data from source systems and enforces data type and data validity standards and ensures it conforms structurally to the requirements of the output. Extract[edit] ETL processing involves extracting the data from the source system(s). Transform[edit] Load[edit] Real-life ETL cycle[edit] Challenges[edit] Performance[edit] Parallel processing[edit]