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Rackspace & Hortonworks Cut Strategic Deal

Rackspace has cut a strategic agreement with Hortonworks, the open source Apache Hadoop start-up, to resell its platform.
The two are also going to try to eliminate the complexities and time-consuming manual processes in Hadoop required to implement a Big Data solution.
The announcement says the “joint effort will pursue an OpenStack-based Hadoop solution for the public and private cloud, which can easily be deployed in minutes.”
Gartner figures Big Data will drive $232 billion in IT spending through 2016.
Rackspace CTO John Engates allowed in a statement that “Running Hadoop on your own is complex, which is why we’re excited about our development efforts with Hortonworks. We believe Hortonworks as a collaborator brings a substantial advantage in technology, services and experience that will clearly benefit customers. We have customers today that deploy Hadoop clusters on dedicated hardware at Rackspace with support from Hortonworks. By joining forces, we intend to turn Hadoop into an on-demand service running on the Rackspace open cloud and in clusters on private cloud infrastructure in our data centers or the customer’s data center. The Hortonworks Data Platform packages the open source Apache version of Hadoop. That aligns with our vision of an open cloud future that eliminates fear of vendor lock-in, and allows customers to confidently invest in a technology for the long term.”

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Cloud Identity Buyer’s Guide

The Cloud Identity Buyer’s Guide discusses the issue of identity and access management (IAM) for cloud applications. It outlines the issues that need to be addressed, suggests some approaches to solving those issues and wraps up with an overview of the products from McAfee/Intel that are designed to help companies manage their SaaS account identities more effectively and efficiently.

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Cloud Expo Silicon Valley: Distributed Cloud Models for Data Management

Companies of all sizes are dealing with exponential growth of digital data and looking for cost-effective ways to secure, provide access, store and manage this data. Many are turning to the cloud to minimize their infrastructure and footprint. But is the cloud really solving our data management challenges?
In his session at the 11th International Cloud Expo, Praerit Garg, President and Co-founder of Symform, will explore new approaches to managing data in the cloud, looking at distributed models that leverage existing infrastructure while providing stronger security benefits. Cloud Expo delegates will learn about distributed cloud models you can leverage today, as well as the inherent benefits and challenges of distributed approaches.

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ManageIQ to Exhibit at Cloud Expo Silicon Valley

SYS-CON Events announced today that ManageIQ, a leader in enterprise cloud management, will exhibit at SYS-CON’s 11th International Cloud Expo, which will take place on November 5–8, 2012, at the Santa Clara Convention Center in Santa Clara, CA.
ManageIQ is a leading provider of enterprise cloud management and automation solutions that enable organizations to deploy, manage and optimize private and hybrid clouds, virtualized infrastructures as well as virtual desktops. Our solutions, built on a common Adaptive Management Platform™, deliver unified monitoring, management and automation through a single pane of glass across enterprise clouds and globally distributed datacenters. Our enterprise customers are using our solutions to transform the management of their IT infrastructures, accelerate service delivery and maximize their IT resource investments.

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Cloud Expo Silicon Valley: Cloud & Big Data – What’s Working, What’s New?

In this fast-moving Lunchtime Power Panel at the 11th International Cloud Expo, chaired by Cloud Expo Conference Chair Jeremy Geelan, industry-leading Execs & VPs of Technology will discuss such topics as:
Which of the recent big acquisitions within the Cloud and/or Big Data space have most grabbed your attention as a sign of things to come?
In its recent «Sizing the Cloud» report Forrester Research said it expects the global cloud computing market to reach $241BN in 2020 compared to $40.7BN in 2010 – is that kind of rapid growth trajectory being reflected in your own company? Is the Forrester number too large…or maybe not large enough!?
What synergies are there between cloud computing and the Enterprise IT trend toward mobility?

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C12G Announces the New OpenNebula Jumpstart Packages

C12G has just announced the creation of the OpenNebula Jumstart Packages. These packages are designed to help new customers springboard their productivity, speed time to deployment, and reduce business and technical risks through professional assistance with initial set-up, configuration, support and knowledge transfer.
C12G offers three different packages where experienced C12G Engineers help you start building and operating your OpenNebula Cloud:
The Evaluation Support Program is a 30-day, no-cost, and no-commitment trial of OpenNebula.pro with the services to assess its suitability and performance in your environment
The Entry-level Support Program is a low-cost starter pack. It comprises one-year Support Subscription to OpenNebula.pro and 4 hours of remote Consulting Services
The Bootstrap Program is a fast route to have an OpenNebula cloud on your premises and to ensure that your IT staff are well equipped to operate the cloud. It comprises five days of on-site Professional Services and a one-year Support Subscription to OpenNebula.pro

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Cloud Expo: Power Your Cloud Services with an Open, Scalable Hypervisor

Cloud computing is challenging the way infrastructure and applications are built, delivered and consumed. Providing an open, scalable hypervisor layer is key to designing a cloud solution that can meet the needs of next-generation IT.
In his session at the 11th International Cloud Expo, Marc Trouard-Riolle, Sr. Product Manager, Cloud Platforms Group, at Citrix, will discuss how virtualization can be optimized for cloud use cases and how some of the world’s largest clouds are leveraging Citrix technologies.

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ICO Guidance Highlights the Need for UK Data Control

The UK Information Commissioner’s Office (ICO) recently published a useful and informative report on cloud computing that provides key guidance for companies using or considering cloud services in the UK. The guidelines intend to help organizations comply with the 1998 Data Protection Act (DPA), and they offer welcome assistance for private and public enterprises struggling to avoid stiff non-compliance penalties from the watchdog agency.
The ICO emphasizes that cloud customers are responsible for ensuring data protection, whether they know it or not. Many businesses simply don’t realize that data protection is their responsibility when processing is outsourced to a third party (i.e., a cloud provider).

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Cloud Computing: Aryaka Offers Global Application Delivery

Aryaka, the WAN Optimization as-a-Service start-up, is now offering what’s called Application Delivery-as-a-Service, which, it says, is purpose-built for the cloud.
It lets a company’s expanded circle of users – home office workers, mobile users, customers and partners – get optimized, consistent access to centralized enterprise applications and cloud resources from anywhere in the world.
That means both inside and outside the enterprise firewall.
The new widgetry accelerates Internet application response times by connecting users to the closest Aryaka POP so they can quickly access applications and critical data.

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Cloud Expo Silicon Valley: Analyzing Big Data with Quirrel

Quirrel is designed to allow anyone to perform complex analysis of large, multi-structured data sets without the need to write code.
In his session at the 11th International Cloud Expo, John A. De Goes, CEO & CTO of Precog, will walk Cloud Expo delegates through the basics of Quirrel, the «R for Big Data» language. All participants will be provided with an online learning environment where they can follow along and learn the core syntax and features of the Quirrel analysis language. By the end of the workshop, participants will be able to load, filter, correlate, group, and aggregate data using Quirrel.

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