ETL Deployment
Serialization Mappings for Local, Remote, and HDFS Execution
Provision | Options |
Run configured GUI | Map once and deploy your jobs anywhere. Voracity users can run jobs on local, remote, or Hadoop systems individually or in a scheduled (batch) sequence from IRI Workbench, their shell, or a third-party workflow automation platform. On this page find examples. |
Batch creation | Create ETL jobs quickly and easily using wizards, mapping diagrams, or scripts; see this page for instructions. Optional use of ETL code generation for Voracity in Erwin Mapping Manager. |
Flow Management | Storing, accessing, and modifying data processing workflows in the GUI. |
Scheduler Integration | Use the built-in IRI Voracity Scheduler for each job or a third-party scheduler to automate and initiate dependent jobs (e.g., see IRI Whitepaper on integration with Oracle Jobs Scheduler). |
Test, reshape, repeat | Preview with real or test data to optimize and re-run task blocks, job scripts, or entire workflows for debugging and „what-if“ analyses. |
Call | Executing orders via GUI, command line, batch script, or |
Monitoring | Displays the progress of the event during the job in the GUI console or at the command line. |
Tuning | Performance control through configuration files for jobs, users, and global resources or registry settings. |
Statistics | Switching during the generation of runtime performance and application statistics for console or later file verification. |
Error messages | Validate orders in the syntax-aware editor or in debug mode. Errors will be stored in the error log. |
Logging | Storing, reviewing, and/or querying statistics, performance, and XML audit files for activity and compliance review. |