Another Word For It Patrick Durusau on Topic Maps and Semantic Diversity

November 21, 2012

Digesting Big Data [Egestion vs. Excretion]

Filed under: BigData,Machine Learning — Patrick Durusau @ 6:17 am

Digesting Big Data by Jos Verwoerd.

From the post:

Phase One: Ingestion.
The art of collecting data and storing it.

Phase Two: Digestion.
Digestion is processing your raw data into something that you can extract value from.

Phase Three: Absorption.
This stage is all about extracting insights from your data.

Phase Four: Assimilation.
In the fourth stage you want to put the insights to action.

Phase Five: Egestion.
This fifth phase runs parallel to all others and is about getting rid of the unwanted, unclean, unnecessary parts of your data, invalid insights and predictions at every step of the process.

An analogy to processing big data that I have not encountered before.

Jos points out that most PR is about phases one and two, but the business value payoff doesn’t come until phases three and four.

Interesting reading, and I learned a new word, “Egestion.”

From Biology Online: Egestion –

noun

The act or process of voiding or discharging undigested food as faeces.

Supplement

Egestion is the discharge or expulsion of undigested material (food) from a cell in case of unicellular organisms, and from the digestive tract via the anus in case of multicellular organisms.

It should not be confused with excretion, which is getting rid of waste formed from the chemical reaction of the body, such as in urine, sweat, etc.

Word origin: from Latin ēgerere, ēgest-, to carry out.
Related forms: egest (verb).

According to Webster’s, excrement doesn’t make such fine distinctions, covering waste of any origin.

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