Seguridad Mania.com - España y América Latina
Portal sobre tecnologías para la seguridad física
- Destacamos »
- software Anti Blanqueo
SANTA CLARA, CA -- (Marketwired) -- 05/21/15 -- DataTorrent, the leader in real-time big data analytics and creator of DataTorrent RTS, the world's first enterprise-grade unified platform for both stream and batch processing on Hadoop, today announced it joined the Open Data Platform (ODP) as a Silver member. In addition, DataTorrent RTS is certified and immediately available on the ODP Core. DataTorrent is focused on reducing time to market, increasing ROI and enabling success of big data projects. Joining ODP brings DataTorrent's platform to an initiative also focused on accelerating the adoption of Apache Hadoop® and enterprise-class big data solutions.
"The DataTorrent RTS unified batch and streaming platform enables enterprises to dramatically reduce time-to-insight and time-to-action on data-in-motion and data at rest. By joining the Open Data Platform and certifying DataTorrent RTS on the ODP Core, we demonstrate our continuing commitment to meeting the needs of customers on every commercial Hadoop distribution," said Phu Hoang, co-founder and CEO, DataTorrent. "Becoming an ODP member aligns perfectly with our focus on ease of adoption and support for the larger Hadoop ecosystem."
DataTorrent is one of a select number of solutions included in the Open Data Platform initiative, joining industry-leading firms such as IBM, EMC, Hortonworks, VMware, Verizon, Splunk and Pivotal. Membership is further confirmation of DataTorrent's ongoing support for Hadoop YARN, HDFS and rapid analytics. DataTorrent was the first YARN-native Hadoop 2.0 application and continues to be tightly integrated with the Hadoop ecosystem. DataTorrent has a history of contributions to the Hadoop ecosystem and Apache open source community, including projects like Koya - Kafka on YARN -- and the Malhar Library.
"Over 16 companies are now executing on the vision of the Open Data Platform, which is to accelerate the delivery of big data solutions around a common core. We are pleased that DataTorrent is joining the ever growing chorus of companies looking to advance the state of Apache Hadoop and big data technologies," said Leo Spiegel, senior vice president of corporate development and strategy, Pivotal.
For enterprises, data is being generated faster and faster and coming from a growing number of sources. Organizations are struggling to keep up with the volume and need to take action more quickly to realize business impact. DataTorrent RTS enables faster time to insight and to action for both batch and stream processing, delivering a platform for increasing revenue and reducing operational inefficiencies, crucial elements to the ODP's overarching mission.
About DataTorrent
DataTorrent is the leader in real-time big data analytics. DataTorrent RTS is the industry's only solution to have a high performing, fault tolerant unified architecture for both data in motion and data at rest. DataTorrent RTS is proven in production environments to reduce time to market, development costs and operational expenditures for Fortune 100 and leading Internet companies. Based in Santa Clara, California, DataTorrent is backed by leading investors including August Capital, GE Ventures, Singtel Innov8, Morado Ventures, and Yahoo co-founder Jerry Yang. For more information, visit our website or follow us on Twitter.
Media Contact:
Nolan Necoechea
LEWIS PR for DataTorrent
415.432.2452
Email Contact
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