Unique architecture adds Apache Spark integration, advanced in-database machine learning and support for Microsoft Azure
Hewlett Packard Enterprise (HPE) has announced the next release of HPE Vertica, codenamed “Frontloader.” HPE Vertica 8 introduces a unified architecture and advanced in-database analytics capabilities that enable users to conduct sophisticated analysis at industry-leading scale and speed, regardless of where their data resides.
One of the biggest issues facing organisations today is extracting intelligence from data residing in multiple silos across the datacentre. HPE Vertica 8 provides organisations with a unique, analyse-in-place, unified architecture that enables businesses to continually gain intelligence from their information, wherever it lives. Organisations can use HPE Vertica 8’s flexible deployment options across on-premise, private, and public clouds, and in Hadoop data lakes, to adopt a best-fit solution that allows them to choose where and how they run analytics.
“Building on our Vertica mantra of delivering the broadest deployment and consumption models, and best-fit engineering, HPE Vertica 8 delivers an innovative platform that allows organisations to access and analyse the largest volumes and various forms of data, regardless of where the data is located,” said Tony Nottle, Sales Director, Big Data Platform, HPE Software, South Pacific. “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.”
HPE Vertica 8 also includes core data movement and orchestration enhancements, resulting in up to 700 percent faster data loading for hundreds of thousands of columns, simplified data loading from Amazon S3, and comprehensive visual monitoring of Apache Kafka data streams.
“To ensure our Cerner Millennium Electronic Medical Records (EMR) Platform delivers rapid response and high performance to thousands of critical care givers, we require a massively scalable, enterprise-grade analytics platform,” said Dan Woicke, Director of Enterprise System Management, Cerner Corporation (@Cerner). “With HPE Vertica 8, we have peace of mind, knowing that as we continue to grow in users, data, and stringent SLAs, our system can scale to address the largest and highest concurrency and performance needs. All of this, while allowing us to take advantage of Hadoop open source technologies where it makes sense for us as a nimble business.”
New support for Microsoft Azure Cloud
HPE Vertica with Azure support is immediately available via the Microsoft Azure Marketplace, giving organisations the flexibility and freedom to choose the right cloud platform for their needs. This announcement builds on the strategic agreement that HPE and Microsoft signed at the end of 2015 to meet the growing demands of our joint enterprise customers for best-in-class hybrid computing experiences.
“With Azure, Microsoft is delivering a world class cloud platform to help customers accelerate their digital transformation,” said Mike Schutz, General Manager, Cloud Platform Product Marketing, Microsoft. “A key part of this is forstering a strong ecosystem of enterprise-grade applications on Azure. HPE’s selection of Azure as a fully supported platform for their flagship offerings such as Vertica highlights our joint commitment to meet the dynamic needs of today’s digital enterprises.”
The new release includes dozens of critical core enhancements to increase system reliability under extreme concurrency levels, natively integrate with open source innovations for analysis-in-place, and achieve enterprise-class performance and security. New HPE Vertica 8 features include:
- In-Database Machine Learning – Traditional machine learning applications often require data scientists to build and tune models using only small subsets of data that result in inaccuracies and delays. With Vertica’s in-database applied machine learning algorithms, teams can natively create and deploy R based machine learning models directly in Vertica for larger sets of data, accelerating the decision making process with pinpoint accuracy.
- Analysis-in-Place Analytics on Hadoop – Users can derive more value from their Hadoop data lakes with Vertica’s high-performance Parquet and ORC Readers that enable users to securely access and analyse data that resides in Hadoop data lakes without copying or moving the data. Now, organisations can enjoy high performance and Hadoop-based economics in a seamless solution.
- Expanded Multi-cloud capabilities and support – Now, organisations have more deployment options than ever. Vertica is optimised for both AWS and now Microsoft Azure cloud deployment. The new Vertica release also incorporates expanded AWS support with seamless access to S3, tighter security, and more.
- Optimised Apache Spark Adapter – This optimised intelligent adapter enables fast data exchange between Vertica and Spark systems so that data scientists can build more robust machine learning models in Spark for queries on small data sets and tap into extensive Vertica in-database SQL analytics for the most sophisticated queries on the largest data volumes at massive scale.
Additional Information
For more information on HPE Vertica 8 “Frontloader,” please click here and visit our HPE Big Data Blog here.|
For more information on HPE Vertica Analytics Platform for Azure please visit https://azure.microsoft.com/en-us/marketplace/partners/hpe/vericahpe-vertica/.
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