Onboard data sources rapidly, increase productivity, reduce cost, and deliver quality data to business leveraging Azure
The number of data sources, including internal and external datasets, within an enterprise is consistently increasing. Consequently, the processes that perform data ingestion and quality checks also grow rapidly. This situation poses challenges in maintaining the code base, increasing the risk of errors, and demands higher efforts when onboarding new datasets.
A well-designed data integration approach that brings together metadata-driven design principles for ingestion and data quality checks will ensure that the system complexity is effectively managed even as the data sources and its datasets scaleup.
WinWire’s WinAIDQ (Automated Ingestion and Data Quality) solution accelerator enables enterprises to adopt a modern and reusable metadata-driven data ingestion and data quality framework by bringing together well-defined processes and best practices which increases productivity and reduces the TCO.
WinAIDQ Solution Approach
Leverage our rapid 4 weeks pilot solution and experience the value of running a metadata-driven data ingestion and data quality solution.