Gear Up For Modern Service Delivery

Just as industrialization modernized the production of goods, automation applied to the modern service delivery life cycle can increase the speed and quality of service releases, which you can tailor to the right cadence of your business. Use new and newly repurposed tools to automate the full life cycle.
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Big Data Analytics Infographic

IT infrastructure is key to a successful analytics solution implementation. Efficient storage is required not only to house data but to fully enable the extraction of actionable insights at the point of impact.
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In-Memory Databases Put the Action in Actionable Insights

In order to derive business value from Big Data, practitioners must have the means to quickly (as in sub-milliseconds) analyze data, derive actionable insights from that analysis, and execute the recommended actions. While Hadoop is ideal for storing and processing large volumes of data affordably, it is less suited to this type of real-time operational analytics, or Inline Analytics. For these types of workloads, a different style of computing is required. The answer is in-memory databases.
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Converged Data Protection – HP StoreOnce Recovery Manager Central

Protecting your business-critical applications without impacting performance is proving ever more challenging in the face of unrelenting data growth, stringent recovery service level agreements (SLAs) and increasingly virtualized environments. Traditional approaches to data protection are unable to cost-effectively deliver the end-to-end availability and protection that your applications and hypervisors demand. A faster, easier, more efficient, and reliable way to protect data is needed.

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La Stratégie La Plus Efficace Pour Votre Déploiement À L’International

Seul Equinix peut vous connecter à vos clients et partenaires en accompagnant la croissance de votre entreprise. Notre couverture mondiale est la plus vaste du secteur. Elle comprend le choix le plus large d'opérateurs, de fournisseurs de contenu et de services cloud. Et nous allons encore plus loin : nos datacentres sont implantés dans les principaux centres d'a aires du monde, là où tout se passe.
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Au Centre De L’Avenir

Tandis que l’économie mondiale continue de se rétablir, les entreprises ne se concentrent plus uniquement sur l’efficacité ou la rationalisation de leurs processus pour subsister. Leur objectif est de provoquer la croissance. La croissance provient de nouveaux produits et services, de nouveaux modèles d’affaires, de nouveaux marchés, de nouveaux consommateurs et de la possibilité d’attirer les clients de la concurrence de la concurrence. En raison des implications technologiques de l’évolutivité et du volume, chacun de ces domaines de croissance exige de l’entreprise une convergence entre le métier et la technologie afin de devenir une entreprise numérique. La majorité des entreprises devront repenser leur stratégie technologique et évaluer leur capacité à fournir et à exploiter l’infrastructure nécessaire au soutien de la future entreprise numérique.
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The Center of Tomorrow

As the global economy continues to recover, businesses are no longer focused only on efficiency or streamlining for survival. They have set their goals on growth. Growth comes from new products and services, new business models, new markets, new consumers—and where possible—attracting business from the competition. Due to the technology implications of scale and volume, each of these areas of growth requires the convergence of business and technology within the organization in order to become a digital enterprise. Most enterprises will have to rethink their technology strategy and assess its ability to deliver and operate the necessary digital infrastructure to support the future digital enterprise.
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Harvard Research Group Database Assessment: IBM DB2 with BLU Acceleration

As businesses accumulate increasing volumes of data from their day to day operations, and a wide variety of other sources, transforming that data into actionable information is essential. With today’s data management technologies and techniques no data is beyond integration. IBM DB2 10.5 with BLU acceleration (DB2 BLU Acceleration) takes In-Memory data management and analytics to the next level by optimizing these three key system components: CPU, Memory, and I/O. This holistic approach to optimization is a critical and necessary next step in the evolution of always on, always available, real time data management, analytics, reporting, and OLTP solutions.

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Coverity Scan – Big Data Spotlight

This report shows the defect density rates of the most popular big data projects and the most common defects that Coverity found across open source projects. In addition, specific types of defects found in Apache Hadoop, Apache HBase and Apache Cassandra are also released in this report.
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Transforming Software Testing Through Automation

"Test your code as you write it.” That’s a common mantra heard in many development teams today. However, for too many, that practice remains a lofty goal as opposed to a business reality. They lack the appropriate metrics and processes to make and measure progress and often underestimate the effort required to manage the cultural change. In this paper you will learn how Coverity:

• Reduced the amount of time for hardening minor releases from 2 weeks to 3 days

• Reduced the number of manual testing days from 17 to 4

• Increased the number of automated tests from 0 to almost 3,500

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PCI Compliance Starts at the Source

As compliance and software security become more intertwined, software security is being driven by compliance needs. This paper outlines the PCI DSS requirements around application security and how they can be effectively addressed with Coverity Development Testing to realize time, resource and process efficiencies.
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PCI Compliance Starts at the Source

As compliance and software security become more intertwined, software security is being driven by compliance needs. This paper outlines the PCI DSS requirements around application security and how they can be effectively addressed with Coverity Development Testing to realize time, resource and process efficiencies.
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Integrando o Big Data aos Processos de Negócios e Sistemas Corporativos

Neste white paper, você terá uma abordagem corporativa sobre como o Big Data maximiza o workload automation para:
  • Integrar o Hadoop em sua empresa para garantir a entrega de novas aplicações
  • Resolver questões relacionadas à analise preditiva, alertas automáticos e detecção de problemas futuros
  • Estabelecer políticas de compliance e governança mais aderentes às regras de negócio
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Infographic: WAFS vs. Traditional File Replication Tools

Efficiently transmitting mission critical modeling and design files between multiple teams in worldwide offices is instrumental to today's architecture, construction and engineering professionals. But as projects span across a smarter set of secure exchange tools are required to bridge the gap.
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