Google made a significant event out of Leap Day 2012 by releasing a new version of Google Analytics featuring Data Sampling. The idea behind data sampling ...

Systematic sampling is low risk, controllable and easy, but this statistical sampling method could lead to sampling errors and data manipulation.

Synthetic data are artificially generated by algorithms to mimic the statistical properties of actual data, without ...

Putting this all together, it is ironic that in a world drowning in data, we have increasingly turned to sampling to render our “big data” small again.

MDS – Microarchitectural Data Sampling Modern Intel processors employ data storage in its internal buffers, the data being sent to and from the processor’s cache.

Analog-to-digital converters (ADCs) sample analog signals and produce a value that corresponds to a “snapshot” of the signal at a specific time. By taking samples at regular intervals, you can obtain ...

To overcome the performance challenge, most self-service data prep tools are architected to use some method of sampling and only bring the small sample data into the tool – usually some hard-coded ...

A sampling error is a statistical error that occurs when a sample does not represent the entire population. See how to avoid sampling errors in data analysis.

This article details important advances now being made in direct-access data conversion of microwave signals within the Ka-band. These advances have implications in terms of acceleratin ...