Most popular Big Data Enterprise eBay auctions:
Most popular Big Data Enterprise eBay auctions:
Ready to unlock the power of your data? With the fourth edition of this comprehensive guide, you’ll learn how to build and maintain reliable, scalable, distributed systems with Apache Hadoop. This book is ideal for programmers looking to analyze datasets of any size, and for administrators who want to set up and run Hadoop clusters.You’ll find illuminating case studies that demonstrate how Hadoop is used to solve specific problems. This edition includes new case studies, updates on Hadoop 2,
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Join us for this interactive webinar, as we walk through use cases on how you can use SAS® In-Memory Statistics for Hadoop and SAS® Visual Statistics with Ho…
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Abstract: Hadoop has been widely embraced for its ability to economically store and analyze large data sets. Using parallel computing techniques like MapRedu…
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Apache Drills into Hadoop
In a big week for Big Data, Apache Drill becomes a top level project as Hadoop 2.6.0 is released. It's a big week for Big Data and the open source Hadoop ecosystem. The Apache Hadoop 2.6.0 project was released on Nov. 30, and today the Apache Drill …
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MapR wins Apache Foundation blessing for SQL-on-Hadoop technology
Drill MapR Technologies Inc. passed a major landmark in its journey to deliver structured query functionality for Hadoop on Tuesday after its open-source Drill tool graduated from incubation at the Apache Software Foundation to become a top-level project.
Read more on SiliconANGLE (blog)
Drowning in big data? This thing called Hadoop could be a life preserver
One answer to these challenges can be found in a funny word: Hadoop. Hadoop, in a nutshell, is a platform that can effectively store and provide computational capabilities over the biggest of big data. It is a cost-effective way of reducing analytical …
Read more on Intelligent Utility
Most popular Hadoop eBay auctions:
Las Vegas, NV (PRWEB) November 13, 2014
Today Omnibond Systems, LLC and the OrangeFS development community at AWS re:Invent announced the release of OrangeFS, version 2.9 with Hadoop 2.x ecosystem support, capability based security and distributed metadata for directory entries.
OrangeFS enhances Big Data computation by delivering Hadoop Compatible File System (HCFS) support for the latest versions of the Hadoop ecosystem. The OrangeFS Hadoop Client also supports accessing multiple independent OrangeFS systems. Further, existing Hadoop clusters using Hadoop Distributed File System (HDFS) may utilize other OrangeFS systems as an alternative method of distributed storage. A Hadoop user can easily specify the preferred file system. The OrangeFS Hadoop Client extends and enhances the ability to share HPC and Big Data resources and reduces the time-consuming operations of data transfers from one environment to another. Together, these two open source products can perform massive computations at multi-petabyte scale. Additionally, OrangeFS provides seamless integration with other HPC resources.
Capability-based security is a significant OrangeFS 2.9 enhancement with two new security modes. Key-based security, designed for a trusted client infrastructure, provides each OrangeFS client and server system with a cryptographic key pair. Certificate-based security utilizes user certificates and associated key pairs. OrangeFS can leverage LDAP directories to provide a consistent mapping of identities to certificates. Certificate-based security mode supports untrusted clients, so it is suited for dynamic environments. Once validated with either mode, file operations leverage signed capabilities for efficient scalable file operations.
OrangeFS stripes large data files across multiple servers to provide highly concurrent access; however, prior to version 2.9, the metadata for large directories were stored only on a single server, potentially creating a hotspot with a large number of concurrent requests. OrangeFS 2.9 includes a scalable distributed directory service to support efficient concurrent access to the progressively larger directories of the future. Scalable distributed directories make OrangeFS 2.9 an attractive option for data monitoring and real-time application monitoring which can require creation of many files under the same directory.
“This release is a major milestone in the transformation of scalable distributed file systems,” said Boyd Wilson, from Omnibond, “starting with a new security infrastructure as a foundation, distributed metadata scalability improvements and a rigorous testing cycle laying the foundation for the future generations of scalable distributed storage software.”
Omnibond will be on the floor at AWS re:Invent and SC14 and will be discussing the new OrangeFS release and other products including CloudyCluster beta, built on the capabilities of OrangeFS.
OrangeFS 2.9 can be downloaded at OrangeFS.com and OrangeFS.org, home of the software’s development community. OrangeFS.com also has information on enterprise support, development and maintenance services for OrangeFS. Information on Omnibond’s other products can be found at omnibond.com.
About OrangeFS
OrangeFS (Orange File System) is the next evolution of the open source Parallel Virtual File System (PVFS), capable of using many storage servers or cloud instances and combining their throughput capability creating a high-performance storage cluster. OrangeFS is designed for combined high-performance computing (HPC) and Big Data workloads that require high-speed access to storage for parallel computing applications. OrangeFS continues to embrace these high-end computing needs while addressing new directions in stability, resilience and diverse client access. For more information about the OrangeFS user and development communities, visit OrangeFS.com and OrangeFS.org.
About Omnibond
Omnibond is a technology development company currently focused on software engineering and support for networked identity/access management, HPC and Big Data parallel virtual file systems, and computer vision technologies. Our newest forays include commercial-grade product services for OrangeFS. For more information visit Omnibond.com.
For more information, send an email to ofs-sales(at)omnibond(dot)com or call 844-GOT-OMNI (844-468-6664) or 864-416-3827. For press inquiries, contact Amy Cannon at amycannon(at)omnibond(dot)com.
*All third-party trademarks are the property of their respective owners.
Hadoop eBay auctions you should keep an eye on:
http://zerotoprotraining.com This video explains the challenges created by big data that Hadoop addresses efficiently. You will learn why traditional enterpr…
Why eHarmony is rebuilding itself atop Hadoop and (probably) OpenStack
Dating site eHarmony continues to grow, processing more matches more quickly for more users, and now the company's technological foundation is finally growing along with it. OpenStack, Hadoop, Spark, Docker — eHarmony CTO Thod Nguyen says the …
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Unravelling Hadoop Performance Mysteries
Despite the fact that it runs on plain vanilla X86 servers and 64-bit operating systems, Hadoop is a complex beast that's prone to bottlenecks and performance issues. Getting Hadoop to run well isn't easy and typically requires a lot of tuning on the …
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