Big data and the cloud: A perfect match

Martin Hooper, Big Data & Predictive Analysis Expert, Asia Pacific, CenturyLink

This vendor-written piece has been edited by Executive Networks Media to eliminate product promotion, but readers should note it will likely favour the submitter's approach.

Martin Hooper, CenturyLink
Photo: Martin Hooper

According to Frost & Sullivan, the global data traffic will cross 100 zettabytes annually by 2025. Organisations today are flooded with big data from a growing number of sources, and analysing this large amount of data has become a major business imperative, with most companies facing the growing pressure to build big data solutions quickly to achieve competitive advantage. What they are unaware of is that cloud infrastructure can provide the flexibility and power needed to underpin the development of agile big data projects.

Agility requires quick strategic decision-making processes. Big data technology can provide the insight necessary to make fast decisions based on complex information, but is often restricted by the platform on which it runs. Cloud infrastructure unlocks the ability for big data to deliver insights quickly, in addition to providing the scalability and security businesses need.

Here are six key reasons why big data analytics and cloud computing are a perfect match for companies competing in today's climate:

  • Growing pressure to accelerate enterprise time-to-insight
    Big data projects that are based in the cloud or that leverage managed services allow companies to accelerate time-to-insight by rapidly acquiring and scaling big data infrastructure that previously had to be built from scratch. As the amount of data grows exponentially bigger, it becomes significantly harder for legacy processes to analyse this data. Therefore, having the capability to analyse data quickly to churn out insights is important for businesses to stay ahead of the curve.

  • Adapt to the pace of business
    As the pace of business change accelerates, the ability to gain insights quickly from big data becomes more critical. But that accelerating business change demands agility: the ability to scale up and scale down instantly. The cloud has the flexibility to accommodate this scalability.

  • Capacity to quickly scale from pilot to production
    Companies trying to scale their big data pilot projects into full-fledged production systems often realise too late in the process that the projects require resources they lack in-house. A cloud deployment can provide the computing power needed, and quickly too.

  • Less expensive than in-house solutions
    Companies no longer need to build their own expensive infrastructure for big data applications. Instead, with cloud infrastructure, they can simply acquire and scale the services they need, on demand. This helps to save the cost of building in-house infrastructure and allows organisations to focus their efforts and savings on other business initiatives.

  • Strong security for protecting data
    A global study by IBM and Ponemon Institute shows that the average cost of a data breach is around $3.79 million in 2015. With so much depending on big data projects, the right security measures are essential. Secure big data solutions can facilitate the implementation of several layers of security to protect data. Without sufficient protection, data breaches can suffer dire consequences.

  • Easy implementation with a hybrid IT partner
    The right cloud partner can provide end-to-end solutions, from planning to optimisation, propelling time-to-successful-implementation. By harnessing hybrid IT solutions, you can offload many key services such as hosting, security to your hybrid IT provider and focus your resources on your core business.

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