Metadata-driven ETL for Data Engineering and Governance.
A Configurable Engineering Framework that solves basic problem of Data Landscape Your ETL journey with a Low Server Cost and Reduced Human Intervention. Functions with host of Data Processors (Reader / Writer / Parser) with ‘Parallel’ processing in Asynchronous mode. Eliminates Ingestion, Mapping and Transformation challenges and Performance (Matrix of Cost & Time).
Speed Controller Plus Min IT Infrastructure to host App Plus Minimal Human Effort in Operation leading to Low Opex Set up
Data Consolidation from Heterogeneous Sources Plus Data Clean-up Formatting Plus Data Migration.
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