Posted June 5, 2012 by RhoBeta in Analytics

HP innovates Apache Big Data

HP Analyticpedia Hadoop
HP Analyticpedia Hadoop

HP is making efforts to expand its reach into the market for “Big Data” analytics (extracting useful business intelligence out of large and often chaotic mixes of data), using its hardware, software and services capabilities.HP announced enhancements to its Information Optimization Solutions portfolio that are intended to capitalize on the growth of big data, including operational, application and machine data. HP AppSystem for Hadoop aims to be the first enterprise-ready appliance for scale-out Hadoop workloads. AppSystem combines HP Converged Infrastructure with Vertica 6 to deliver big data processing and real-time analytics.Apache Hadoop, a leading open-source distributed data-processing platform, has evolved to meet the needs its growing number of big data enterprise users whether deployed on premise, in the cloud, or as a hybrid.HP announced new capabilities for embedding the Autonomy Intelligent Data Operating Layer (IDOL) 10 engine in each Hadoop node to take advantage of IDOL functions including automatic categorization, clustering, eduction, and hyperlinking. HP also announced Autonomy Optimost Clickstream Analytics, providing marketers with a consistent and granular view of customer visits, conversions, and ecommerce engagement.

HP has been investing in innovation to build out the industry’s most comprehensive Information Optimization Solutions portfolio with unique intellectual property and technologies that solve customers’ challenges with big data. Only HP enables organizations to manage, understand and act on 100 percent of information. This is made possible through new HP Converged Infrastructure solutions, as well as technology from Autonomy and Vertica, both HP companies, and HP data management services. With Autonomy’s Hadoop package, users can instead embed an IDOL 10 engine in each node of their Hadoop cluster. They then can use IDOL’s 500 functions to analyze and summarize data on the Hadoop implementation.


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