Oracle Modern Data Center

Big Data: Opportunity or Disruptor?
Big Data: Opportunity or Disruptor?

By Vicky Falconer, Big Data Specialist, Oracle Australia and New Zealand

 


John Foster, VP, business development, systems, Oracle Asia Pacific, on how big data will impact the data center of the future.

While attending an event in Australia about how digital disruption is impacting the data center, I was asked about the role of converged infrastructure in supporting big data in the data center of the future.

Along with the advent of other new technologies like cloud and mobile, the rapid growth of data is what is underlying a lot of the disruption that we have been talking about today. The exciting thing about data is that while it is disruptive, it provides a way for companies to compete. At the same time, while most large enterprises have really deep rich sets of data, they are not particularly good at getting value from it. So, I want these companies to understand the potential and get excited about the opportunity inside of their own organizations.

What is really interesting is that the disruption we are seeing is different across a whole range of industries, due to the variety of data and different ways it can be used. This means that the application of big data can be different for a telco as opposed to a financial services organization, as opposed to government. But it’s all around utilizing data to generate value that you’ve never been able to utilize before.

To do this, you’ve got to bring some smarts, some understanding of the technologies. And then you need subject-matter experts who understand the industry in question to see if they have the data, techniques, and technologies to help meet the challenges.

I want people to get really excited about data. I want them to see the opportunity, and then understand the sort of architectures you need to support that. Oracle has a really broad view about what you need to support big data within your organization.

The challenge is that building the technical foundation necessary to resolve the issues and make data useful is complex. Businesses embarking on big-data initiatives typically start with small-scale projects, but scaling up a pilot project to work across an entire organization is difficult, especially with scarce resources, and it requires products from multiple vendors, which creates major integration issues. In fact, according to a recent study by consulting firm Capgemini, almost 80 percent of organizations have not achieved full-scale production of their big data initiatives.

And this is where converged infrastructure comes in. While the IT department might enjoy the challenge of building out a big-data cluster, what the business wants are results in a cost-effective and timely manner. 


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