Apache Pig is a platform for analyzing large data sets that consists of a high-level language for expressing data analysis programs, coupled with infrastructure for evaluating these programs. The salient property of Pig programs is that their structure is amenable to substantial parallelization, which in turns enables them to handle very large data sets.
The Netalyzr tests your Internet connection for signs of trouble. Understand your connectivity through a detailed report of any performance and security issues.
R. Baeza-Yates, und A. Tiberi. KDD '07: Proceedings of the 13th ACM SIGKDD international conference on Knowledge discovery and data mining, Seite 76--85. New York, NY, USA, ACM, (2007)
C. Schmitz, A. Hotho, R. J�schke, und G. Stumme. Data Science and Classification. Proceedings of the 10th IFCS Conf., Seite 261--270. Heidelberg, Springer, (Juli 2006)
C. Schmitz, A. Hotho, R. Jäschke, und G. Stumme. Data Science and Classification. Proceedings of the 10th IFCS Conf., Seite 261--270. Heidelberg, Springer, (Juli 2006)
M. Naaman, J. Boase, und C. Lai. Proceedings of the 2010 ACM conference on Computer supported cooperative work, Seite 189--192. New York, NY, USA, ACM, (2010)