Thursday, February 28, 2019

Big Data Exploration With Microqueries and Data Sharpening

Our last post covered features of the Zoomdata Query Engine and how push-down processing helps deliver the speed-to-insight users want and need. Microqueries (not to be confused with microservices) and Data Sharpening™ are important — and patented — features of Zoomdata's architecture. Let's take a look.

Microqueries and Data Sharpening™

Microqueries and Data Sharpening are patented technologies that work together to allow users to interact with big data. The Zoomdata Query Engine invokes them based on criteria such as the type of aggregate values requested and anticipated query run time. Microqueries and Data Sharpening are ideal for big data that is partitioned by date and that run on a cluster with many processing cores. This functionality is optional and can be disabled at the data source definition level.



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