An overview of the state of the art for bringing together the analytical power of the R language with the big data capabilities of Hadoop.
We produce gorgeous LaTeX reports while harnessing the power of R on the backend. The data is pulled from our PostgreSQL database, the analysis and visualizations are fast and distributed thanks to Redis. We'll talk about weaving together open source tools to build powerful analytics reporting engines that rival the commercial alternatives.
Algorithms are getting raunchier, tools more potent and competitions more intimate! Let us mix analytics tools (like R & Mahout) and a dash of algorithmics to work on BigData Analytics competitions and see if the answer is always 42. In the process we will explore and apply a few good algorithms, to the Heritage Health competition …