Big Data Fusion & Blending

Big Data Fusion & Blending

Do It Yourself: Fuse Data From Multiple Sources

Interacting with billions of rows of data in seconds from a single source is exciting, but big data exploration gets really interesting when you combine multiple sources with data blending and fusion. Maybe you have mobile application usage data in Hadoop, but you’d like to enrich that data with some customer demographic information stored in an Oracle database. Or suppose you have a stream of sensor readings and you want to perform calculations across that real-time stream and include historical data. Or you might have product reviews indexed in Elasticsearch that you’d like to correlate with with product purchase history in an enterprise data warehouse. All of these scenarios require data blending across multiple sources to get the right insights. And get them fast.

Zoomdata Fusion: Combine Multiple Data Sources without Moving Data

Zoomdata Fusion makes multiple data sources appear as one without physically moving the data to a common data store. Best of all, business users can fuse sources without having to wait for a data architect to set it up. And once defined, a fused source can be used like any other source in Zoomdata. All the interactive visualizations are available for a fused source. Zoomdata Fusion automatically determines when and how to access the different sources to produce a given visualization without the end user having to worry about how it works. Fused sources can also be used within dashboards and embedded applications, providing users with seamless access to disparate data sources.

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Big Data Fusion & Blending

Zoomdata Fusion makes multiple sources appear as one without physically moving the data to a common data store.

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