Dynamic Orchestration Workflow Using Apache Airflow
07
May
Data is the undisputed ruler that drives everything from business strategy and decisions to near real-time algorithmic workflows. In a data-rich world, capturing that information and processing it is a monumental task even when a clearly thought out architectural approach is implemented. When new data sources are found that require data extraction, transformation and loading (ETL) into a data store, often that activity is done with command-line requests, scheduled cron jobs or scripts that call scripts to achieve this activity
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