Red Hat Unveils Big Data Direction

Red
Hat, Inc. announced its big data direction and solutions to
satisfy enterprise requirements for scalable and manageable solutions
to run their big data analytics workloads.

In addition, the company announced that
it will contribute its Red Hat Storage Hadoop plug-in to the Apache
Hadoop open community to transform Red Hat Storage into a
Hadoop-compatible file system for big data environments, and that Red
Hat is building a network of ecosystem and enterprise integration
partners to deliver big data solutions to enterprise customers. This
is another example of Red Hat’s commitment to big data customers and
its efforts to provide them with enterprise solutions through
community-driven innovation.

Red Hat big data infrastructure and
application platforms are suited for enterprises leveraging the open
hybrid cloud environment. The company is working with the open cloud
community to support big data customers. Many enterprises worldwide
use public cloud infrastructure, such as Amazon Web Services, for the
development, proof-of-concept, and pre-production phases of their big
data projects. The workloads are then moved to their private clouds
to scale up the analytics with the larger data set. An open hybrid
cloud environment enables enterprises to transfer workloads from the
public cloud into their private cloud without the need to re-tool
their applications. Red Hat is engaged in the open cloud community
through projects like OpenStack and OpenShift Origin to help meet
these enterprise big data expectations.

There are several Red Hat solutions
available to manage enterprise big data workloads. Focused on three
primary areas, Red Hat’s big data direction includes extending its
product portfolio to deliver enterprise infrastructure solutions and
application platforms, and partnering with big data analytics vendors
and integrators.

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 first provider of
  commercial Linux1, Red Hat Enterprise Linux is a logical platform for
  big data deployments. It excels in distributed architectures and
  includes features that address big data needs. Managing large amount
  of ata volumes and analytic processing requires an infrastructure
  designed for high performance, reliability, fine-grained resource
  management, and scale-out storage. RHEL addresses these challenges
  while adding the ability to develop, integrate, and secure big data
  applications and scale 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 Red Hat Enterprise Linux OS
  and the proven GlusterFS distributed file system, Red Hat Storage
  Servers can be used to pool inexpensive commodity servers to provide
  a storage solution for big data. Red Hat intends to make its Hadoop
  plug-in for Red Hat Storage available to the Hadoop community later
  this year. Currently in technology preview, the Red Hat Storage
  Apache Hadoop plug-in provides a storage option for enterprise Hadoop
  deployments that delivers enterprise storage features while
  maintaining the API compatibility and local data access the Hadoop
  community expects. Red Hat Storage brings enterprise features to big
  data environments, such as Geo replication, High Availability, POSIX
  compliance, DR, and management, without compromising API
  compatibility and data locality. Customers have a unified data and
  scale out storage software platform to accommodate files and objects
  deployed across physical, virtual, public and hybrid cloud resources.

• 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 shared
  storage pool managed by Red Hat Storage. This integration 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’s Big Data Application and
Integration Platforms

• Red
  Hat JBoss Middleware – Red Hat JBoss Middleware provides
  enterprises with technologies for creating and integrating big
  data-driven applications that are able to interact with emerging
  technologies like Hadoop or MongoDB. Big data is valuable when
  businesses can extract information and respond intelligently. This
  solutions can populate large volumes and varieties of data into
  Hadoop with high speed messaging technologies; simplify working with
  MongoDB through Hibernate OGM; process large volumes of data 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 Partnerships

• Big Data
  Ecosystem Partners – To provide a big data solution set to
  enterprises, Red Hat plans to partner with 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 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.

Ranga Rangachari, VP and GM, storage,
Red Hat, said: "With today’s announcement, Red
Hat demonstrates its strong commitment to continue to provide
enterprise infrastructure and platforms to effectively run big data
applications today and in the growing open hybrid cloud environment.
With true enterprise offerings, Red Hat leverages the power of the
open source community to give our big data customers a choice in
technology, deployment environments, and partners."

Ashish Nadkarni, research director, storage systems and co-lead, big data global overview, IDC, said: "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 in big data."