Big Data News: HP Expands Vertica Analytics Platform

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HP expands its big data analytics platform with Hadoop integration, SGI partners with Extreme Networks for Hadoop solutions, Zettaset secures Hadoop, and Concurrent delivers an all-access pass to business intelligence tools on Hadoop.

HP expands Vertica Analytics platform. HP (HPQ) announced enhancements to the HP Vertica Analytics Platform, enabling organizations to accelerate business value from a vastly expanded variety of data. The new version 7, also called Vertica Crane, dramatically simplifies the exploration and analysis of semistructured and “dark” data, provides enhanced integration with Hadoop, and offers significant security and performance enhancements. The HP Vertica Analytics Platform also supports a variety of industry-standard business intelligence and visualization tools. It delivers open “SQL-on-Hadoop” capabilities. Unlike other SQL-on-Hadoop solutions, HP Vertica works with major Hadoop distributions, ensuring high-performance analytics across the broadest range of data types and sources. It also supports direct integration with HCatalog, Hadoop’s table and storage management layer.

“Everyone is seeking to gain insight from new forms of data, but legacy products waste resources because of the need to wrestle the data into structured formats,” said Colin Mahony, vice president and general manager, Vertica, HP. “The new capabilities of the HP Vertica Analytics Platform deliver immediate value and rapidly ‘shine a light’ on formerly dark data—unlocking the value hidden in both traditional and emerging forms of big data.”

SGI and Extreme Networks partner. Extreme Networks (EXTR) announced an agreement with SGI, to be its select networking partner in order to provide comprehensive Hadoop solutions globally. SGI will include Extreme Networks’ Summit X670 fixed Ethernet switches, with 10/40GbE capabilities, as part of its SGI Clusters for Hadoop. The integrated solution is designed to help customers harness valuable information and rapidly improves the speed at which data can be analyzed.  “As businesses continue to tackle Big Data, they face the challenge of how to unlock value at greater speed, scale and efficiency,” said Bill Mannel, general manager of Compute for SGI. “We’re applying the expertise we learned in designing and building the world’s fastest high-performance supercomputers to our Big Data Analytics solutions, allowing customers to increase ROI on their Big Data investments as they scale.”

Zettaset Encrypts Hadoop.  Zettaset announced that it has added data-at-rest encryption capabilities to Zettaset Orchestrator, its distribution-agnostic Hadoop cluster management platform. Organizations with strict corporate and/or industry compliance requirements, such as those in the financial, retail, and healthcare verticals can now confidently deploy Hadoop in environments where personal information data must be tightly safeguarded. Orchestrator uses the 256-bit Advanced Encryption Standard (AES-256) to ensure the highest levels of encryption and data security. “Encryption is a very specialized capability, and there are few viable options available today for Hadoop users,” said Jim Vogt, Zettaset CEO. “When it comes to risk management, Zettaset Orchestrator with data-at-rest encryption gives customers the upper hand, supporting compliance mandates such as HIPAA, BSA/AML and PCI-DSS, for example, and provides assurance that their Hadoop cluster data is protected against malicious attacks.”

Concurrent BI Tools on Hadoop.  Enterprise big data platform company Concurrent announced the release of Cascading Lingual, an open source project that provides ANSI compatible SQL enabling fast and simple big data application development on Apache Hadoop.  With Cascading Lingual, enterprises that have invested millions of dollars in business intelligence (BI) tools and training can now access their data on Hadoop in a matter of hours, rather than weeks. By leveraging the power and broad platform support of the Cascading application framework, Cascading Lingual lowers the barrier to enterprise application development on Hadoop. “Concurrent is committed to our mission of simplifying enterprise application development and deployment on Hadoop,” said Gary Nakamura, Chief Executive Officer at Concurrent. “Cascading Lingual abstracts the complexity of Hadoop into languages and interfaces that people already know, providing a pragmatic, yet powerful, tool for enterprises that are looking to make the most of their in-house talent. With Cascading Lingual, companies can now make the most of Hadoop without the costly investment in additional BI tools and training.”

About the Author

John Rath is a veteran IT professional and regular contributor at Data Center Knowledge. He has served many roles in the data center, including support, system administration, web development and facility management.

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