Big Data and the Cloud: Match Made in (Data) Heaven
By David Rosengrave, Head of Business Development & Product Strategy - Asia Pacific, CenturyLink
Organizations today are flooded with big data from a growing number of sources. According to Frost & Sullivan, the global data traffic will cross 100 zettabytes annually by 2025 and will generate revenue of over US$122 billion. Data analytics 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 support the development of agile big data projects.
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 perfect match for companies competing in today’s climate:
Increasing 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 analyze this data. Having the capability to analyze data quickly to churn out insights is important for businesses to stay ahead of the competition.
Adapt to the Pace of Business
As the pace of business accelerates, the ability to gain insights quickly from big data becomes more critical. Business change demands’ agility: the ability to scale up and scale down instantly. The cloud offers the flexibility to accommodate this scalability. Applications and technologies have to operate at peak performance to go beyond just capturing and managing data to actively using it.
Capacity to Quickly Scale from Pilot to Production
Companies trying to scale their big data pilot projects into full-fledged production systems often realize 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. Performance is critical when it comes to supporting these projects and infrastructure should be able to stand up even to the most demanding analytical workloads.
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 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 the cost of building in-house infrastructure and allows organizations 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 was around $3.79 million in 2015. With so much depending on big data projects, the right security measures are essential. Secure cloud based 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 optimization, propelling time-tosuccessful-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.
To put it in perspective, analyzing vast bodies of data on the cloud gives businesses the opportunity to derive critical insights without going through the hassle of establishing inhouse infrastructure. Hybrid-based managed services can enable companies to speed up big data solution deployment, reduce technology risk, and deliver business value quickly. In a data-intensive world, organizations look forward to the more inclusive concept of hybrid IT – a secure, scalable and agile network foundation to interconnect critical systems that work together to optimize the user experience.