Seguridad Mania.com - España y América Latina
Portal sobre tecnologías para la seguridad física
- Destacamos »
- software Anti Blanqueo
SAN JOSE, CA -- (Marketwired) -- 06/03/14 -- Skytree®, the Machine Learning Company®, today announced that its predictive analytics software is now available on Apache Hadoop YARN to deliver agile analytics on Hadoop clusters. Skytree's flagship product -- Skytree Server® -- is built to provide high-performance Machine Learning and takes advantage of the multi-workload capabilities enabled by YARN's increased reliability, scalability and manageability.
"With open technology platforms driving innovation and performance, most of our customers are adopting Hadoop-based architectures to handle their Big Data needs, from incorporating multiple data sources to using new types of access methods," said Jin Kim, vice president of marketing at Skytree. "We are committed to supporting the latest Hadoop developments like YARN, which remove the technical constraints associated with traditional MapReduce."
Hortonworks, the leading contributor to and provider of 100-percent open source Apache Hadoop, is empowering enterprises to run multiple applications natively in Hadoop using a common resource management. As part of the YARN Ready certification program, Skytree will continue to collaborate with Hortonworks to provide customers with high-performance, flexible advanced analytics and big data management.
"As enterprises continue to deploy Hadoop applications to derive net-new insight from their data, Hortonworks is committed to delivering innovative tools together with partners like Skytree," said John Kreisa, vice president of strategic marketing at Hortonworks. "By joining YARN Ready, our new program for integrating applications with YARN-based Hadoop, Skytree can provide best-in-class predictive insights on top of the Hortonworks Data Platform, ensuring that applications deliver business-critical results and high-performance Machine Learning."
YARN makes Hadoop 2.0 a true multi-use platform that is more flexible, efficient, and shareable than Hadoop 1.0. With this next version of Hadoop, Skytree on YARN enables customers to leverage better scheduling and resource utilization for Machine Learning based analytics. Skytree Server version 12.11 is compatible with the YARN architecture of Hadoop.
To learn more about Skytree on YARN and Skytree's partnership with Hortonworks, please visit http://www.skytree.net/.
About Skytree
Skytree® -- The Machine Learning Company® is disrupting the Advanced Analytics market with a Machine Learning platform that gives organizations the power to discover deep analytic insights, predict future trends, make recommendations and reveal untapped markets and customers. Advanced Analytics is quickly becoming a strategic technology in the age of Big Data. Backed by Investments from US Venture Partners, Javelin Venture Partners, Samsung, UPS and In-Q-Tel, Skytree is at the forefront with enterprise-grade Machine Learning. Skytree's flagship product -- Skytree Server -- is the only general-purpose platform on the market, built for the highest accuracy, speed and scalability.
Media Contact
Diana Smith
TriplePoint PR for Skytree
Email Contact
(415) 955-8500
Publicamos interesante Informe de más de 48 págs y varios videos demostrativos sobre los posibles ataques a los robots de montaje de las fábricas. ... Leer más ►
Publicado el 22-Jun-2017 • 10.48hs
Publicado el 20-Jun-2017 • 20.22hs
Dirigido tanto a los principiantes, como a los expertos en seguridad informática y sistemas de control industrial (ICS), este libro ayudará a los lectores a comprender mejor la protección de normas de control interno de las amenazas electrónicas. ... Leer más ►
Publicado el 3-Ene-2012 • 20.16hs
Publicado el 25-Set-2009 • 01.26hs
Publicado el 17-Dic-2008 • 08.32hs
Publicado el 11-Oct-2016 • 12.48hs
Publicado el 15-Mar-2016 • 11.59hs
Publicado el 2-Feb-2017 • 11.38hs
Publicado el 20-Jun-2014 • 17.17hs
Publicado el 31-May-2011 • 05.13hs
Publicado el 25-Set-2008 • 17.54hs
Publicado el 1-Set-2016 • 16.11hs
Publicado el 31-Ago-2016 • 18.53hs
Publicado el 19-Ene-2017 • 15.47hs
Publicado el 4-Jul-2016 • 18.51hs