Red Hat’s Big Data Infrastructure Solutions
- Red Hat Enterprise Linux – According to the Jan. 2012 The Linux Foundation Enterprise Linux User Report, the majority of big data implementations run on Linux and as the leading provider of commercial Linux 1, Red Hat Enterprise Linux is a leading platform for big data deployments. Red Hat Enterprise Linux excels in distributed architectures and includes features that address critical big data needs. Managing tremendous data volumes and intensive analytic processing requires an infrastructure designed for high performance, reliability, fine-grained resource management, and scale-out storage. Red Hat Enterprise Linux addresses these challenges while adding the ability to develop, integrate, and secure big data applications reliably and scale easily to keep up with the pace that data is generated, analyzed, or transferred. This can be accomplished in the cloud, making it easier to store, aggregate, normalize, and integrate data from sources across multiple platforms, whether they are deployed as physical, virtual, or cloud-based resources.
- Red Hat Storage – Built on the trusted Red Hat Enterprise Linux operating system and the proven GlusterFS distributed file system, Red Hat Storage Servers can be used to pool inexpensive commodity servers to provide a cost-effective, scalable, and reliable storage solution for big data.
- Red Hat Enterprise Virtualization – Announced in Dec. 2012, Red Hat Enterprise Virtualization 3.1 is integrated with Red Hat Storage, enabling it to access the secure, shared storage pool managed by Red Hat Storage. This integration also offers enterprises reduced operational costs, expanded portability, choice of infrastructure, scalability, availability and the power of community-driven innovation with the contributions of the open source oVirt and Gluster projects. The combination of these platforms furthers Red Hat’s open hybrid cloud vision of an integrated and converged Red Hat Storage and Red Hat Enterprise Virtualization node that serves both compute and storage resources.
- Red Hat JBoss Middleware – Red Hat JBoss Middleware provides enterprises with powerful technologies for creating and integrating big data-driven applications that are able to interact with new and emerging technologies like Hadoop or MongoDB. Big data is only valuable when businesses can extract information and respond intelligently. Red Hat JBoss Middleware solutions can populate large volumes and varieties of data quickly and reliably into Hadoop with high speed messaging technologies; simplify working with MongoDB through Hibernate OGM; process large volumes of data quickly and easily with Red Hat JBoss Data Grid; access Hadoop along with your traditional data sources with JBoss Enterprise Data Services Platform; and identify opportunities and threats through pattern recognition with JBoss Enterprise BRMS. Red Hat’s middleware portfolio is well-suited to help enterprises seize the opportunities of big data.
- Big Data Ecosystem Partners – To provide a comprehensive big data solution set to enterprises, Red Hat plans to partner with leading big data software and hardware providers to offer interoperability. Development of certified and documented reference architectures are expected to allow users to integrate and install comprehension enterprise big data solutions.
- Enterprise Partners – Red Hat anticipates enabling the delivery of a comprehensive big data solution to its customers through leading enterprise integration partners utilizing the reference architectures developed by Red Hat and its big data ecosystem partners.
Ashish Nadkarni, research director, Storage Systems and co-lead, Big Data Global Overview, IDC“Red Hat is uniquely positioned to excel in enterprise big data solutions, a market that IDC expects to grow from $6 billion in 2011 to $23.8 billion in 2016. 2 Red Hat is one of the very few infrastructure providers that can deliver a comprehensive big data solution because of the breadth of its infrastructure solutions and application platforms for on-premises or cloud delivery models. As a leading contributor to open source communities developing essential technologies for the big data IT stack – from Linux to OpenStack Origin and Gluster – Red Hat will continue to play a pivotal role in Big Data.” During today’s press webcast at 11:30 a.m. ET, Red Hat will provide more information on its big data direction and technologies. A live question and answer session will follow the presentation by Rangachari. Questions can be submitted directly via the webcast platform, sent to email@example.com or submitted through Twitter via the hashtag #redhat. To register for this press webcast or view the replay, please visit here. Additional Resources
- For more information about Red Hat Storage visit here
- For more information about Red Hat Enterprise Linux visit here
- For more information about Red Hat Enterprise Virtualization visit here
- For more information about Red Hat JBoss Middleware visit here
- For more information about Red Hat and open hybrid cloud visit here
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