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  1. Etlworks Support
  2. Connectors, Listeners, Formats, and Flows
  3. Flows

Flows

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  • Complex workflow (nested flow)
  • Extract data from source, transform, and load in destination
  • Any to Any ETL
  • Bulk load data into a database
  • Copy, move, rename, delete, zip, and unzip files, create folders
  • Change Data Capture (CDC) flow
  • Flows optimized for Kafka
  • Apply XSL style sheet to XML files
  • Execute any JavaScript or Python code
  • Execute shell (command line) script
  • Execute any SQL
  • Merge data with template
  • Send payload to the HTTP endpoint
  • Send email
  • Event-driven flows
  • Snowflake flows
  • Redshift flows
  • Extract and load data in social networks
  • Split file
  • Merge files
  • Working with HL7 messages
  • Submit data to Amazon MWS Feeds API
  • ETL scenario in XML format
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