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Definition: ETL (Extract, Transform, Load)

ETL (Extract, Transform, Load) is a standard data integration process used extensively in data migration, data warehousing, and system integration. It involves three distinct stages:

  1. Extract: Reading and retrieving data from one or more source systems (e.g., legacy ECMs, databases, print streams, file shares). The Helix MARS platform utilizes specialized extractors for various source systems.
  2. Transform: Applying a series of rules or functions to the extracted data to convert it into the desired format, structure, or standard required by the target system. This can include data cleansing, format conversion (e.g., TIFF to PDF, AFP to PDF), metadata mapping, data enrichment, and applying business rules. Transformation in Helix projects often occurs on dedicated migration servers (like the MARS Migration Server).
  3. Load: Writing the transformed data into the target system or repository (e.g., a new ECM, database, data warehouse, or archive).

Relevance in the Helix Context:

  • The ETL process forms the core technical workflow for Helix's migration services, as illustrated in the Migration Phases (p28).
  • The MARS platform provides tools to automate and manage all three stages across diverse data types and systems.