Seguridad Mania.com - España y América Latina
Portal sobre tecnologías para la seguridad física
- Destacamos »
- software Anti Blanqueo
SANTA CLARA, CA -- (Marketwire) -- 02/26/13 -- O'Reilly Strata Conference -- RainStor, provider of a database for Big Data that consistently delivers 90 percent cost savings, announced today that RainStor's Big Data Analytics on Hadoop product has been validated with the Intel® Distribution for Apache Hadoop software. The solution provides faster, more flexible analytics using Standard SQL, BI Tools and MapReduce without the need to move data out of the Hadoop environment.
Hadoop is becoming increasingly attractive as a platform for large-scale, lower cost data management and analysis. As your data volumes grow at a rapid pace, you need to add storage and compute and so operationally, costs will continue to rise even if running on lower cost commodity hardware, which ultimately impacts your TCO. Using RainStor's innovative database with the Intel Distribution for Apache Hadoop software, customers can drastically reduce the TCO by significantly reducing storage and at the same time improve the query and analytics performance using standard SQL access and MapReduce, Pig, Hive and more, giving you the most flexible enterprise analytics platform.
Key features of the RainStor Big Data Analytics on Hadoop solution include:
Applicable use-cases and solutions include:
Supporting Quotes
"RainStor values its partnership with Intel. The new Intel Distribution for Apache Hadoop software enables a new level of optimized hardware acceleration and security for enterprise customers. With RainStor's database running natively on Hadoop, customers have an enterprise-grade solution that is not only the most efficient but speeds up analytics performance with the widest range of access tools giving customers the fastest time to value."
--Ramon Chen, VP Product Management and Alliances for RainStor
"Intel is committed to enabling solutions that support a wide range of big data use cases by fostering a thriving ecosystem around Apache Hadoop. Our work with RainStor illustrates how innovative ISVs can build new solutions on the open platform provided by the Intel® Distribution for Apache Hadoop software."
--Girish Juneja, General Manager, Big Data Software, Intel Corporation
Additional Resources
About RainStor
RainStor is the enterprise database company that consistently delivers 90 percent cost savings to customers facing Big Data and Data Warehousing challenges. RainStor's patented database provides unprecedented levels of data compression combined with high performance on-demand query access, resulting in tremendous cost savings and improved operational efficiency.
RainStor provides the flexibility for users to choose from the widest variety of storage options, including NAS, SAN, CAS and even runs natively with Hadoop allowing customers to leverage and extend the life of their existing investment on low cost, commodity hardware. Leading companies including Amdocs, Anritsu, Dell, HP and Teradata partner with RainStor to deliver open, standards-based and enterprise-grade Big Data solutions.
For more information, visit http://www.rainstor.com. Join the conversation at www.twitter.com/rainstor.
Intel is a registered trademark of Intel Corporation in the United States and other countries.
Add to Digg Bookmark with del.icio.us Add to Newsvine
Contact:
Julie Tangen
Kulesa Faul for RainStor
(831) 251-3450
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