Welcome!

OpenStack Journal Authors: Amy Lindberg, Carmen Gonzalez, Pat Romanski, Pete Pickerill, Skytap Blog

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.

@ThingsExpo Stories
Explosive growth in connected devices. Enormous amounts of data for collection and analysis. Critical use of data for split-second decision making and actionable information. All three are factors in making the Internet of Things a reality. Yet, any one factor would have an IT organization pondering its infrastructure strategy. How should your organization enhance its IT framework to enable an Internet of Things implementation? In his session at Internet of @ThingsExpo, James Kirkland, Chief Architect for the Internet of Things and Intelligent Systems at Red Hat, described how to revolutioniz...
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 - announces that it is now accepting Keynote Proposals. The Internet of Things (IoT) is the most profound change in personal and enterprise IT since the creation of the Worldwide Web more than 20 years ago. All major researchers estimate there will be tens of billions devices - computers, smartphones, tablets, and sensors - connected to the Internet by 2020. This number will continue to grow at a rapid pace for the next several decades.
The Internet of Things will greatly expand the opportunities for data collection and new business models driven off of that data. In her session at @ThingsExpo, Esmeralda Swartz, CMO of MetraTech, discussed how for this to be effective you not only need to have infrastructure and operational models capable of utilizing this new phenomenon, but increasingly service providers will need to convince a skeptical public to participate. Get ready to show them the money!
"Matrix is an ambitious open standard and implementation that's set up to break down the fragmentation problems that exist in IP messaging and VoIP communication," explained John Woolf, Technical Evangelist at Matrix, in this SYS-CON.tv interview at @ThingsExpo, held Nov 4–6, 2014, at the Santa Clara Convention Center in Santa Clara, CA.
P2P RTC will impact the landscape of communications, shifting from traditional telephony style communications models to OTT (Over-The-Top) cloud assisted & PaaS (Platform as a Service) communication services. The P2P shift will impact many areas of our lives, from mobile communication, human interactive web services, RTC and telephony infrastructure, user federation, security and privacy implications, business costs, and scalability. In his session at @ThingsExpo, Robin Raymond, Chief Architect at Hookflash, will walk through the shifting landscape of traditional telephone and voice services ...
We are reaching the end of the beginning with WebRTC, and real systems using this technology have begun to appear. One challenge that faces every WebRTC deployment (in some form or another) is identity management. For example, if you have an existing service – possibly built on a variety of different PaaS/SaaS offerings – and you want to add real-time communications you are faced with a challenge relating to user management, authentication, authorization, and validation. Service providers will want to use their existing identities, but these will have credentials already that are (hopefully) i...
WebRTC defines no default signaling protocol, causing fragmentation between WebRTC silos. SIP and XMPP provide possibilities, but come with considerable complexity and are not designed for use in a web environment. In his session at @ThingsExpo, Matthew Hodgson, technical co-founder of the Matrix.org, discussed how Matrix is a new non-profit Open Source Project that defines both a new HTTP-based standard for VoIP & IM signaling and provides reference implementations.
DevOps Summit 2015 New York, co-located with the 16th International Cloud Expo - to be held June 9-11, 2015, at the Javits Center in New York City, NY - announces that it is now accepting Keynote Proposals. The widespread success of cloud computing is driving the DevOps revolution in enterprise IT. Now as never before, development teams must communicate and collaborate in a dynamic, 24/7/365 environment. There is no time to wait for long development cycles that produce software that is obsolete at launch. DevOps may be disruptive, but it is essential.
The definition of IoT is not new, in fact it’s been around for over a decade. What has changed is the public's awareness that the technology we use on a daily basis has caught up on the vision of an always on, always connected world. If you look into the details of what comprises the IoT, you’ll see that it includes everything from cloud computing, Big Data analytics, “Things,” Web communication, applications, network, storage, etc. It is essentially including everything connected online from hardware to software, or as we like to say, it’s an Internet of many different things. The difference ...
The security devil is always in the details of the attack: the ones you've endured, the ones you prepare yourself to fend off, and the ones that, you fear, will catch you completely unaware and defenseless. The Internet of Things (IoT) is nothing if not an endless proliferation of details. It's the vision of a world in which continuous Internet connectivity and addressability is embedded into a growing range of human artifacts, into the natural world, and even into our smartphones, appliances, and physical persons. In the IoT vision, every new "thing" - sensor, actuator, data source, data con...
The 3rd International Internet of @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 - announces that its Call for Papers is now open. The Internet of Things (IoT) is the biggest idea since the creation of the Worldwide Web more than 20 years ago.
Connected devices and the Internet of Things are getting significant momentum in 2014. In his session at Internet of @ThingsExpo, Jim Hunter, Chief Scientist & Technology Evangelist at Greenwave Systems, examined three key elements that together will drive mass adoption of the IoT before the end of 2015. The first element is the recent advent of robust open source protocols (like AllJoyn and WebRTC) that facilitate M2M communication. The second is broad availability of flexible, cost-effective storage designed to handle the massive surge in back-end data in a world where timely analytics is e...
Scott Jenson leads a project called The Physical Web within the Chrome team at Google. Project members are working to take the scalability and openness of the web and use it to talk to the exponentially exploding range of smart devices. Nearly every company today working on the IoT comes up with the same basic solution: use my server and you'll be fine. But if we really believe there will be trillions of these devices, that just can't scale. We need a system that is open a scalable and by using the URL as a basic building block, we open this up and get the same resilience that the web enjoys.
How do APIs and IoT relate? The answer is not as simple as merely adding an API on top of a dumb device, but rather about understanding the architectural patterns for implementing an IoT fabric. There are typically two or three trends: Exposing the device to a management framework Exposing that management framework to a business centric logic Exposing that business layer and data to end users. This last trend is the IoT stack, which involves a new shift in the separation of what stuff happens, where data lives and where the interface lies. For instance, it's a mix of architectural styles ...
SYS-CON Events announced today that Gridstore™, the leader in hyper-converged infrastructure purpose-built to optimize Microsoft workloads, will exhibit at SYS-CON's 16th International Cloud Expo®, which will take place on June 9-11, 2015, at the Javits Center in New York City, NY. Gridstore™ is the leader in hyper-converged infrastructure purpose-built for Microsoft workloads and designed to accelerate applications in virtualized environments. Gridstore’s hyper-converged infrastructure is the industry’s first all flash version of HyperConverged Appliances that include both compute and storag...
"There is a natural synchronization between the business models, the IoT is there to support ,” explained Brendan O'Brien, Co-founder and Chief Architect of Aria Systems, in this SYS-CON.tv interview at the 15th International Cloud Expo®, held Nov 4–6, 2014, at the Santa Clara Convention Center in Santa Clara, CA.
An entirely new security model is needed for the Internet of Things, or is it? Can we save some old and tested controls for this new and different environment? In his session at @ThingsExpo, New York's at the Javits Center, Davi Ottenheimer, EMC Senior Director of Trust, reviewed hands-on lessons with IoT devices and reveal a new risk balance you might not expect. Davi Ottenheimer, EMC Senior Director of Trust, has more than nineteen years' experience managing global security operations and assessments, including a decade of leading incident response and digital forensics. He is co-author of t...
The Internet of Things promises to transform businesses (and lives), but navigating the business and technical path to success can be difficult to understand. In his session at @ThingsExpo, Sean Lorenz, Technical Product Manager for Xively at LogMeIn, demonstrated how to approach creating broadly successful connected customer solutions using real world business transformation studies including New England BioLabs and more.
There's Big Data, then there's really Big Data from the Internet of Things. IoT is evolving to include many data possibilities like new types of event, log and network data. The volumes are enormous, generating tens of billions of logs per day, which raise data challenges. Early IoT deployments are relying heavily on both the cloud and managed service providers to navigate these challenges. In her session at Big Data Expo®, Hannah Smalltree, Director at Treasure Data, discussed how IoT, Big Data and deployments are processing massive data volumes from wearables, utilities and other machines...
The 3rd International Internet of @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 - announces that its Call for Papers is now open. The Internet of Things (IoT) is the biggest idea since the creation of the Worldwide Web more than 20 years ago.