Campaign against using kids as suicide bomber that kill and has killed thousands of innocents in Asia, Middle East. Some people with revenge in their head or political opportunity are out to kill innocents by using and abusing simple kids to become suicide bombers and kill innocents and unconcerned. They also mislead and misread Quran, actions of the Prophet just to create hate and violence in society. Fanatics should be stopped
Enhancing educational data quality in heterogeneous learning contexts using p...Alex Rayón Jerez
Workshop “Enhancing educational data quality in heterogeneous learning contexts using Pentaho Data Integration” by Alex Rayón Jerez (www.alexrayon.es). Heterogeneous data integration and quality normalization are sensitive issues to properly exploit learning data. In this hands-on tutorial, we will not only extract learning data from their databases, but also enhance data quality issues (granularities, dimensions, duplications, nulll values, etc.) through the use of Pentaho Data Integration. We will practice with the integration of learning data from technology-rich learning environments (LMS, Social Networks, wiki, etc.). It is required the use of a laptop with Pentaho Data Integration module already installed on it, but it is not required previous knowledge of Pentaho.
Campaign against using kids as suicide bomber that kill and has killed thousands of innocents in Asia, Middle East. Some people with revenge in their head or political opportunity are out to kill innocents by using and abusing simple kids to become suicide bombers and kill innocents and unconcerned. They also mislead and misread Quran, actions of the Prophet just to create hate and violence in society. Fanatics should be stopped
Enhancing educational data quality in heterogeneous learning contexts using p...Alex Rayón Jerez
Workshop “Enhancing educational data quality in heterogeneous learning contexts using Pentaho Data Integration” by Alex Rayón Jerez (www.alexrayon.es). Heterogeneous data integration and quality normalization are sensitive issues to properly exploit learning data. In this hands-on tutorial, we will not only extract learning data from their databases, but also enhance data quality issues (granularities, dimensions, duplications, nulll values, etc.) through the use of Pentaho Data Integration. We will practice with the integration of learning data from technology-rich learning environments (LMS, Social Networks, wiki, etc.). It is required the use of a laptop with Pentaho Data Integration module already installed on it, but it is not required previous knowledge of Pentaho.