HP has revealed an updated version of its Vertica big data analytics platform in a bid to fulfil a data-oriented strategy that benefits businesses and non-data scientists.
HP Vertica will gain data streaming capabilities and advanced log file text searching to enable high-speed analytics on big data collected from sources such as the Internet of Things (IoT).
The new version of Vertica, codenamed Excavator, will offer support for Apache Kafka, an open source distributed messaging system, to allow organisations to harvest and analyse streaming data in near real time.
HP claimed that this new capability allows Excavator to be used in a wide range of monitoring and process control deployments in sectors such as manufacturing, healthcare and finance.
The addition of advanced machine log text search in Excavator will allow companies to collect and organise large log file datasets generated by systems and applications and provide more scope in predicting and identifying application failures and cyber attacks, along with the ability to see authorised and unauthorised access to apps.
HP showed its commitment to big data-driven businesses by announcing the Haven Startup Accelerator, a programme designed to expand HP's ecosystem of developers by offering free access to community versions of Vertica, and affordable access to the firm's big data software and services.
Embracing open source
HP has added native integration of Vertica with Apache Spark in a move to embrace the scalability of open source software and platforms for big data analytics. The firm has also enabled Vertica to support SQL queries made on native files and popular formats found in Hadoop data and deployments.
HP will integrate Vertica with Apache Spark to allow data to be transferred between the database platform and the cluster computing framework, giving developers the option to build data models in Spark and run them through Vertica's analytics capabilities.
Furthermore, the company is making its Flex Zone available as open source software, which allows companies to analyse semi-structured data without needing to carry out intensive coding to prepare a system for the data ahead of analysis.
HP appears to be bolstering its portfolio of enterprise-grade products in preparation for its split into two separate companies, Hewlett Packard Enterprise and HP Inc.
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