HP has announced enhancements to its Information Optimization Solutions portfolio, designed to help organisations capitalise on the explosion of information, including operational, application and machine data.
HP enables organisations 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.
“Big Data presents big opportunities—and challenges—for organisations today,” said Amit Chatterjee, Country Director, HP Software India. “HP’s powerful Information Optimization Solutions deliver the technologies and expertise required to help organisations succeed in this new era—by tackling any data type, source or environment. Whether on premise, in the cloud or hybrid, HP offerings allow organisations to turn Big Data into growth, opportunity and competitive advantage.”
HP AppSystem for Apache Hadoop is the enterprise-ready appliance that simplifies and speeds deployment while optimising performance and analysis of extreme scale-out Hadoop workloads. The solution combines HP Converged Infrastructure, common management and advanced integration with Vertica 6 to deliver massive data processing and real-time analytics.
The HP Big Data Strategy Workshop enables clients to reduce risk and accelerate decision making by providing a deep understanding of the challenges of Big Data and available solutions. The HP Roadmap Service for Apache Hadoop empowers organisations to size and plan the deployment of the Hadoop platform.
HP Always On Support Services are available for the new HP AppSystem for Apache Hadoop and reference architectures covering the HP components.
With the introduction of Vertica 6, the latest version of the HP Vertica Analytics Platform, companies now have the ability to connect to, analyse and manage any type of information in any location using any interface. The unique Vertica FlexStore architecture delivers a flexible framework for big-data analytics, including advanced integration or federation with Autonomy and Hadoop technology, or any other structured, unstructured or semistructured data source.
As part of the Vertica 6 release, Vertica is expanding its distributed computing framework to include native support for the parallel execution of the advanced R analytics language. With enhanced support for cloud and software-as-a-service (SaaS) implementations, as well as deeper capabilities for mixed workload environments, Vertica 6 is the most robust, comprehensive platform for Big Data analytics available.
As part of HP’s strategy to understand 100 percent of an organisation’s data, HP announced new capabilities for embedding the Autonomy Intelligent Data Operating Layer (IDOL) 10 engine in each Hadoop node, so users can take advantage of more than 500 HP IDOL functions, including automatic categorisation, clustering, eduction and hyperlinking. The combination of Autonomy IDOL and Vertica 6 plus the HP AppSystem for Apache Hadoop, provides customers with an unmatched platform for processing and understanding massive, diverse data sets.


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