Big Data Analytics: TDWI Best Practices Report
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TDWI has published an interesting paper on massive data analysis (Big Data Analytics)
analítica avanzada , incluyendo el análisis predictivo , la minería de datos , estadísticas, inteligencia artificial o el procesamiento del lenguaje natural ( NLP ) , etc. The mass data analysis is the intersection of two currently attend technical circumstances: the existence of very high volumes of very detailed information and advanced analytics, including predictive analytics, data mining, statistics, artificial intelligence and language processing natural (NLP), etc..
un término más adecuado sería In the words of author Philip Russom: "... Instead of advanced analytics, a more appropriate term would be l usuario suele ser un analista de negocios que intenta descubrir hechos de negocio nuevos que nadie en la empresa conocía de antes. Para ello , el analista necesita grandes volúmenes de datos con mucho nivel de detalle…" analysis for discovery, because that's what users are trying to achieve. T user is often a business analyst who tries to discover new business facts that nobody in the company knew of before. For this, the analyst needs large amounts of data with great level of detail ... "
It is a review of 40 pages very well presented, which gives a picture of the current through 360 surveys.
We are certainly in a time when we have a lot of information that grows exponentially, opening new opportunities for industry and business, although from my point of view is not a new paradigm, only a natural evolution.
It can be downloaded at:
