Is data science a new paradigm

Is data science a new paradigm, or recycled material?

Is data science a new paradigm, or recycled material?

Data science is the result of a new paradigm taking place in IT. The question was raised recently, and here I explain how and why data science is part of this new paradigm, and not recycled material.

New arsenal of techniques and metrics

Many data science techniques are very different, if not the opposite of old techniques that were designed to be implemented on abacus, rather than computers. These new tools are often model-free.

Indeed, old techniques such as logistic regression and classification trees don't even belong to data science, more stable techniques are used in data science. You can find many of them published as open intellectual property, in our data science research lab.

The way (big) data is processed has also dramatically changed: it requires optimizing complex Hadoop-like architectures, and computational complexity is not an issue any more in many cases (as long as you use efficient algorithms). It's the time that it takes for data to flow back and forth in data pipeline systems, that is now the bottleneck.

Read Also:
As governments open access to data, law lags far behind

Saying that data science is not creating a new paradigm shift, is like saying that if we claim Earth rotates around the sun rather than the other way around, there's no change in paradigm, because after all, we are still dealing with 2 celestial bodies and 1 rotation - nothing changed.

 



Chief Analytics Officer Europe

25
Apr
2017
Chief Analytics Officer Europe

15% off with code 7WDCAO17

Read Also:
What Could Big Data Mean for Debt Management?

Chief Analytics Officer Spring 2017

2
May
2017
Chief Analytics Officer Spring 2017

15% off with code MP15

Read Also:
The Need for Open Standards in Predictive Analytics

Big Data and Analytics for Healthcare Philadelphia

17
May
2017
Big Data and Analytics for Healthcare Philadelphia

$200 off with code DATA200

Read Also:
What Is ETL and ETL Testing?

SMX London

23
May
2017
SMX London

10% off with code 7WDATASMX

Read Also:
4 Key Testing Areas for Successful Business Intelligence Programs

Data Science Congress 2017

5
Jun
2017
Data Science Congress 2017

20% off with code 7wdata_DSC2017

Read Also:
Association Rule Mining – Not Your Typical Data Science Algorithm
Read Also:
Bringing DevOps to Analytics and Data Science

Leave a Reply

Your email address will not be published. Required fields are marked *