What is Data Blending?

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.

How Can You Benefit from Data Blending?

I am a Business Executive

  • 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

I am an IT Executive

  • 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

I am a Technical Lead

  • 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¬†

How Can it Help Your Business?

Build Diverse Data Sets

Build different data sets using blended data pipelines to suit your analytical needs with an automated mechanism

Check Data Quality

Monitor and measure data quality against business requirements with analytic-ready datasets

Secure

Securely govern and access data with centralized metadata harvesting and publishing

Accelerate Time-to-insight

Explore the variety, volume, velocity and veracity of data and accelerate time-to-insight

Quick Resume

Recover failed pipelines from the point of failure through corrective suggestions 

Intuitive UI

Take advantage of an intuitive workflow design with an easy to use drag-and-drop interface

How Does Data Blending Work ?

Data Blending is a data integration and processing platform that leverages Hadoop components to provide a drag-and-drop user friendly interface.

Know More about Data Blending

Data Sheet

Simplied Workload Migration to Big Data Warehouse Download

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