Intel is working hard to build datacenter software from the silicon up that provides for a wide range of advanced analytics on Apache Hadoop

Intel is working hard to build datacenter software from the silicon up that provides for a wide range of advanced analytics on Apache Hadoop. The Graph Analytics Operation within Intel Labs is helping to transform Hadoop into a full-blown “knowledge discovery platform” that can deftly process a wide range of data models, from simple tables to multi-property graphs, using sophisticated machine learning algorithms and data mining techniques. But, the analysis cannot start until features are engineered, a task that takes a lot of time and effort today. In this talk, I will describe some of the Hadoop-based tools we are developing to make it easier for data scientists to deal with data quality issues and construct features for scalable machine learning, including graph-based approaches.

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