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Ooi Beng Chin 黄铭钧

Databases, Machine Learning and Systems

 
 
 

日志

 
 

Data Analytics  

2011-08-04 14:01:35|  分类: 默认分类 |  标签: |举报 |字号 订阅

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Data analytics is not new, but is becoming a very hot topic/buzzword in recent years.  Data mining, which most database people are familiar with, has been around for years, and is used to discover patterns, features and trends from raw data.  Based on the knowledge discovered, conclusion and inference are made, and this has been recently termed as data analytics, and business intelligence in business applications.  The difference is on the "exploitation" and "interpretation" of knowledge discovered from the data of different sources with respect to the business applications.  For example, with the increasing popularity of Web 2.0 and co-space applications and the data being generated at unprecedented speed and quantity, the data and the knowledge discovered from it becomes a very powerful tool in analysing contextual trends and user behavior, which can be used to supplement the knowledge obtained from the internal data sources. Recently, a couple of top consultancy firms set up research instititues on data analytics, and several vendors have also predicted the huge demand and market for data analytics tools and systems.  It is a re-invention at work, but this will generate a great opportunity for those who work in this area, as the demand for prescriptive, contextual and cross-domain analytics grows.  Instead of dealing with structured data, we have to deal with all sorts of data, such as blogs, tweets, images, video, multilingual text etc..  To the technical people, this provides new challenges in data cleaning, integration, analysis and visualization, etc..  

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