#HPE is continuing its push into the big data market by releasing the next version of #Vertica 8 and HPE #Haven OnDemand Combinations. The OnDemand Combinations, which was originally launched in March, aims to offer developers the ability to apply the power of machine learning to build next generation applications on the cloud-based offering. In addition to a pre-built catalogue of cognitive services and a drag and drop interface, the offering allows developers to chain together multiple machine learning APIs into combinations that can then be copied and pasted into development projects, the idea is that this will help speed up the process of building new and exciting mobile and enterprise applications. Further capabilities include a publish and reuse function which makes sure that custom combinations are securely published to the organisation account for reuse and augmentation. Developers can also build new combinations for prototype apps free of charge by signing up to a Freemium account, and make use of more than 70 APIs to create, test, and publish new services. All of this is hosted in the #Microsoft #Azure cloud, which will help to increase the developer reach for HPE. In addition to the HOD offering, HPE has come out with Vertica 8 in order to provide a unified architecture and advanced analytics and advanced in-database analytics set of capabilities to help users conduct sophisticated analysis. One of the issues that the latest release aims to combat is that of extracting intelligence from data that resides in multiple silos across the data centre. Vertica 8 will offer “analyse-in-place” functionality that will let businesses continually gain intelligence from their information, wherever it lives, the company said. Vertica 8 can be deployed across on-premise, private, and public clouds, and in Hadoop data lakes. Colin Mahony, SVP and GM, Big Data Platform, HPE Software. “Integrated with broad in-database applied machine learning analytic capabilities and open source innovation, Vertica 8 gives companies a competitive edge to solve problems faster and at lower costs.” The company said that thanks to core data movement and orchestration enhancements it will provide up to 700% faster data loading for hundreds of thousands of columns, simplified data loading from Amazon S3, and visual monitoring of Apache Kafka data streams. To bolster the offering further, HPE Vertica is getting Azure support and is available immediately from the Microsoft Azure Marketplace. The latest features include in-database machine learning, analysis-in-place analytics on Hadoop, and an optimised #Apache #Spark Adapter. The analysis-in-place feature uses Vertica’s Parquet and ORC Readers to help users access and analyse data that resides in Hadoop data lakes without copying or moving the data. HPE Vertica 8, codenamed “Frontloader”, will be generally available during the company’s forth quarter.
http://www.cbronline.com/news/big-data/analytics/machine-learning-boosts-hpes-big-data-analytics-portfolio-4992771
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