Intel recently elaborated details of its Intel Data Platform, a suite of software applications designed to facilitate analytics on big data. The platform will complement the Intel Distribution for Apache Hadoop by providing a wealth of graph analytic and predictive modeling functionality via the Intel Data Platform: Analytics Toolkit that enables data scientists to derive actionable business intelligence from big data sets. In addition to raw analytic and data visualization capabilities, the Intel Data Platform features the ability to process streaming data sets and perform iterative and interactive analytics. The Intel Data Platform’s Analytics Toolkit provides users with algorithms related to graph analytics and machine learning that enable enhanced fraud detection, customer profiling and big data management and processing. For example, China Mobile Guangdong was able to implement online billing to the point where it could add up to 800,000 new records/second or up to 30 terabytes of data per month. Similarly, the platform has been used to help retailers nimbly respond to social media promotions by ensuring shelves are appropriately stocked in response to the spikes in consumer demand that result from promotions on platforms such as Twitter and Facebook, media announcements or seasonal changes including unanticipated weather. The Intel Data Platform exemplifies the proliferation of Big Data analytics solutions that have emerged as more and more enterprises perform experiments with Big Data of varying intensity. The platform will be available in Q2 of 2014 in Enterprise and Premium Editions that differ according to the degree of available customer support.
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