Impetus Data Blending is a data integration and processing platform that enables business and technical users to ingest multiple sources of data, mix and match, cleanse and enrich, and create complex workflow pipelines for self-service data ingestion and integration.
Quickly create larger data sets for analytics with little or no changes to existing process
Add new analytic at a fraction of cost that was not possible in traditional EDW
Access, integrate, cleanse and consume data for your competitive advantage
Advance with rich analytics/ data quality transformation libraries
Take a deeper look into your business facts with all-in-one self-service analytics
Blend disparate data sources like EDW, RDBMS, NoSQL and streaming sources effortlessly
Replace a traditional ETL approach with a modern self-service driven data blending approach
Set up and schedule data ingestion pipeline
Build different data sets using blended data pipelines to suit your analytical needs with an automated mechanism
Monitor and measure data quality against business requirements with analytic-ready datasets
Securely govern and access data with centralized metadata harvesting and publishing
Explore the variety, volume, velocity and veracity of data and accelerate time-to-insight
Recover failed pipelines from the point of failure through corrective suggestions
Take advantage of an intuitive workflow design with an easy to use drag-and-drop interface
Data Blending is a data integration and processing platform that leverages Hadoop components to provide a drag-and-drop user friendly interface.