Big Data Mining Future Challenges 

Future

There are many future important challenges in Big Data management and analytics, that arise from the nature of data: large, diverse, and evolving. These are some of the challenges that researchers and practitioners will have to deal with in the years to come: Analytics Architecture. It is not clear yet how an optimal architecture of […]

Big Data Mining Tools 

MOA

The Big Data phenomenon is intrinsically related to the open source software revolution. Large companies such as Facebook, Yahoo!, Twitter, LinkedIn benefit and contribute to open source projects. Big Data infrastructure deals with Hadoop, and other related software as: Apache Hadoop : software for data-intensive distributed applications, based in the MapReduce programming model and a […]

Global Pulse: “Big Data for development” 

UN Global Pulse

To show the usefulness of Big Data mining, we would like to mention the work that Global Pulse is doing using Big Data to improve life in developing countries. Global Pulse is a United Nations initiative, launched in 2009, that functions as an innovative lab, and that is based in mining Big Data for developing […]

Controversy about Big Data 

Big Data

Big Data is a new and emerging hot topic, that has generated a great deal of controversy: There is no need to distinguish Big Data analytics from data analytics, as data will continue growing, and it will never be small again. Big Data may be a hype to sell Hadoop based computing systems. Hadoop is […]

Big Data Mining 

Big Data Mining

The term “Big Data” appeared for first time in 1998 in a Silicon Graphics (SGI) slide deck by John Mashey with the title “Big Data and the Next Wave of InfraStress”. Big Data mining was very relevant from the beginning, as the first book mentioning “Big Data” is a data mining book that appeared also […]