Click here to close now.

Welcome!

Big Data Journal Authors: Liz McMillan, Carmen Gonzalez, Elizabeth White, Plutora Blog, Roger Strukhoff

Related Topics: Big Data Journal, Linux, Open Source, Virtualization, Red Hat, Cloud Expo, Apache, OpenStack Journal

Big Data Journal: Article

Red Hat Unveils Big Data and Open Hybrid Cloud Direction

Is building a robust network of ecosystem and enterprise integration partners to deliver Big Data solutions

Red Hat on Wednesday announced its Big Data direction and solutions to satisfy enterprise requirements for highly reliable, scalable, and manageable solutions to effectively run their Big Data analytics workloads. In addition, Red Hat announced that the company will contribute its Red Hat Storage Hadoop plug-in to the Apache Hadoop open community to transform Red Hat Storage into a fully supported, Hadoop-compatible file system for Big Data environments, and that Red Hat is building a robust network of ecosystem and enterprise integration partners to deliver comprehensive Big Data solutions to enterprise customers.

Red Hat Big Data infrastructure and application platforms are suited for enterprises leveraging the open hybrid cloud environment. Red Hat is working with the open cloud community to support Big Data customers. Many enterprises worldwide use public cloud infrastructure, such as Amazon Web Services (AWS), 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 actively engaged in the open cloud community through projects like OpenStack and OpenShift Origin to help meet these enterprise Big Data expectations both today and in the future.

There are several Red Hat solutions available to effectively manage enterprise Big Data workloads. Focused on three primary areas, Red Hat's big data direction includes extending its product portfolio to deliver enhanced enterprise-class infrastructure solutions and application platforms, and partnering with leading 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 leading provider of commercial Linux1, 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 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 new 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-class features to Big Data environments, such as Geo replication, High Availability, POSIX compliance, disaster recovery, and management, without compromising API compatibility and data locality. Customers now 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 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's Big Data Application and Integration Platforms

  • 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 Partnerships

  • 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.

More Stories By Pat Romanski

News Desk compiles and publishes breaking news stories, press releases and latest news articles as they happen.

@BigDataExpo Stories
CodeFutures has announced Dan Lynn as its new CEO. Lynn assumes the role from Founder Cory Isaacson, who has joined RMS and will now serve as chairman of CodeFutures. Lynn brings more than 14 years of advanced technology and business success experience, and will help CodeFutures build on its industry leadership around its Agile Big Data initiatives. His technical expertise will be invaluable in advancing CodeFutures’ AgilData platform and new processes for streamlining and gaining value from gro...
The explosion of connected devices / sensors is creating an ever-expanding set of new and valuable data. In parallel the emerging capability of Big Data technologies to store, access, analyze, and react to this data is producing changes in business models under the umbrella of the Internet of Things (IoT). In particular within the Insurance industry, IoT appears positioned to enable deep changes by altering relationships between insurers, distributors, and the insured. In his session at @Things...
The Internet of Everything (IoE) brings together people, process, data and things to make networked connections more relevant and valuable than ever before – transforming information into knowledge and knowledge into wisdom. IoE creates new capabilities, richer experiences, and unprecedented opportunities to improve business and government operations, decision making and mission support capabilities. In his session at @ThingsExpo, Gary Hall, Chief Technology Officer, Federal Defense at Cisco S...
SYS-CON Events announced today that Vitria Technology, Inc. will exhibit at SYS-CON’s @ThingsExpo, which will take place on June 9-11, 2015, at the Javits Center in New York City, NY. Vitria will showcase the company’s new IoT Analytics Platform through live demonstrations at booth #330. Vitria’s IoT Analytics Platform, fully integrated and powered by an operational intelligence engine, enables customers to rapidly build and operationalize advanced analytics to deliver timely business outcomes ...
“We just completed the roll out of our first public and private cloud offerings, which are a combination of public, hybrid, and private cloud,” stated Erik Levitt, CEO of Open Data Centers, in this SYS-CON.tv interview at the 14th International Cloud Expo®, held June 10-12, 2014, at the Javits Center in New York City. Cloud Expo® 2014 Silicon Valley, November 4–6, at the Santa Clara Convention Center in Santa Clara, CA, will feature technical sessions from a rock star conference faculty and the...
The Internet of Things (IoT) is causing data centers to become radically decentralized and atomized within a new paradigm known as “fog computing.” To support IoT applications, such as connected cars and smart grids, data centers' core functions will be decentralized out to the network's edges and endpoints (aka “fogs”). As this trend takes hold, Big Data analytics platforms will focus on high-volume log analysis (aka “logs”) and rely heavily on cognitive-computing algorithms (aka “cogs”) to mak...
Companies today struggle to manage the types and volume of data their customers and employees generate and use every day. With billions of requests daily, operational consistency can be elusive. In his session at Big Data Expo, Dave McCrory, CTO at Basho Technologies, will explore how a distributed systems solution, such as NoSQL, can give organizations the consistency and availability necessary to succeed with on-demand data, offering high availability at massive scale.
The industrial software market has treated data with the mentality of “collect everything now, worry about how to use it later.” We now find ourselves buried in data, with the pervasive connectivity of the (Industrial) Internet of Things only piling on more numbers. There’s too much data and not enough information. In his session at @ThingsExpo, Bob Gates, Global Marketing Director, GE’s Intelligent Platforms business, to discuss how realizing the power of IoT, software developers are now focu...
SYS-CON Media announced that IBM, which offers the world’s deepest portfolio of technologies and expertise that are transforming the future of work, has launched ad campaigns on SYS-CON’s numerous online magazines such as Cloud Computing Journal, Virtualization Journal, SOA World Magazine, and IoT Journal. IBM’s campaigns focus on vendors in the technology marketplace, the future of testing, Big Data and analytics, and mobile platforms.
The explosion of connected devices / sensors is creating an ever-expanding set of new and valuable data. In parallel the emerging capability of Big Data technologies to store, access, analyze, and react to this data is producing changes in business models under the umbrella of the Internet of Things (IoT). In particular within the Insurance industry, IoT appears positioned to enable deep changes by altering relationships between insurers, distributors, and the insured. In his session at @Things...
One of the biggest impacts of the Internet of Things is and will continue to be on data; specifically data volume, management and usage. Companies are scrambling to adapt to this new and unpredictable data reality with legacy infrastructure that cannot handle the speed and volume of data. In his session at @ThingsExpo, Don DeLoach, CEO and president of Infobright, will discuss how companies need to rethink their data infrastructure to participate in the IoT, including: Data storage: Understand...
Operational Hadoop and the Lambda Architecture for Streaming Data Apache Hadoop is emerging as a distributed platform for handling large and fast incoming streams of data. Predictive maintenance, supply chain optimization, and Internet-of-Things analysis are examples where Hadoop provides the scalable storage, processing, and analytics platform to gain meaningful insights from granular data that is typically only valuable from a large-scale, aggregate view. One architecture useful for capturing...
The 3rd International @ThingsExpo, co-located with the 16th International Cloud Expo - to be held June 9-11, 2015, at the Javits Center in New York City, NY - is now accepting submissions to demo smart cars on the Expo Floor. Smart car sponsorship benefits include general brand exposure and increasing engagement with the developer ecosystem.
Since 2008 and for the first time in history, more than half of humans live in urban areas, urging cities to become “smart.” Today, cities can leverage the wide availability of smartphones combined with new technologies such as Beacons or NFC to connect their urban furniture and environment to create citizen-first services that improve transportation, way-finding and information delivery. In her session at @ThingsExpo, Laetitia Gazel-Anthoine, CEO of Connecthings, will focus on successful use c...
FedRAMP is mandatory for government cloud deployments and businesses need to comply in order to provide services for federal engagements. In his session at 16th Cloud Expo, Abel Sussman, Director for Coalfire Public Sector practice, will review the Federal Risk and Authorization Management Program (FedRAMP) process and provide advice on overcoming common compliance obstacles.
Software is eating the world. Companies that were not previously in the technology space now find themselves competing with Google and Amazon on speed of innovation. As the innovation cycle accelerates, companies must embrace rapid and constant change to both applications and their infrastructure, and find a way to deliver speed and agility of development without sacrificing reliability or efficiency of operations. In her Day 2 Keynote DevOps Summit, Victoria Livschitz, CEO of Qubell, discussed...
SYS-CON Events announced today that SoftLayer, an IBM company, has been named “Gold Sponsor” of SYS-CON's 16th International Cloud Expo®, which will take place June 9-11, 2015 at the Javits Center in New York City, NY, and the 17th International Cloud Expo®, which will take place November 3–5, 2015 at the Santa Clara Convention Center in Santa Clara, CA. SoftLayer operates a global cloud infrastructure platform built for Internet scale. With a global footprint of data centers and network points...
SYS-CON Events announced today that Open Data Centers (ODC), a carrier-neutral colocation provider, will exhibit at SYS-CON's 16th International Cloud Expo®, which will take place June 9-11, 2015, at the Javits Center in New York City, NY. Open Data Centers is a carrier-neutral data center operator in New Jersey and New York City offering alternative connectivity options for carriers, service providers and enterprise customers.
Thanks to Docker, it becomes very easy to leverage containers to build, ship, and run any Linux application on any kind of infrastructure. Docker is particularly helpful for microservice architectures because their successful implementation relies on a fast, efficient deployment mechanism – which is precisely one of the features of Docker. Microservice architectures are therefore becoming more popular, and are increasingly seen as an interesting option even for smaller projects, instead of bein...
When it comes to the Internet of Things, hooking up will get you only so far. If you want customers to commit, you need to go beyond simply connecting products. You need to use the devices themselves to transform how you engage with every customer and how you manage the entire product lifecycle. In his session at @ThingsExpo, Sean Lorenz, Technical Product Manager for Xively at LogMeIn, will show how “product relationship management” can help you leverage your connected devices and the data th...