Nasdaq deals with millions of transactions every second. Data is fundamental to their business. However, Nasdaq found that the infrastructure required for Apache Hadoop* and big data analytics can be difficult to manage and scale.
Big Data as a Service
Intel has an ongoing relationship with Nasdaq and a business collaboration agreement with BlueData, a leading provider of software for Big-Data-as-a-Service. So we introduced BlueData to Nasdaq as a potential solution to address the big data challenges they had been facing. After their evaluation, Nasdaq selected the BlueData software platform to simplify their deployment of on-premises big data infrastructure -- running on Intel® Xeon® architecture.
Now Nasdaq is able to accelerate their time-to-insights with big data analytics, reduce infrastructure costs, and deliver on the promise of business innovation. To tell the Nasdaq story, we arranged for an interview with Mike Viola (principle technologist in the global technology CIO office at Nasdaq), who discusses these challenges and their big data journey.
“The security requirements for Nasdaq are very high. We’re a regulated company, we answer to the SEC, and we need to have systems that are very secure” said Mike Viola of Nasdaq. “So in order to implement a BlueData environment, we have to make sure that security is set up properly -- and it is. On top of that, it still maintained the performance we needed as if it were running this on bare metal.”
Solving Big Data Challenges
Also experts from BlueData and Intel were interviewed to delve into some of these issues around Big Data complexity, performance, security, and cost.
"I’d say performance, in addition to security, is the primary challenge that we get from potential customers when they’re first looking at BlueData. Nasdaq was no different," said Tom Phelan, chief architect and co-founder of BlueData. The BlueData software platform was designed to ensure a highly secure, multi-tenant architecture that delivers the performance needed for large-scale big data workloads. As noted by Phelan, "What we ended up with was this tremendous platform, highly tuned, that was 2 percent faster on some benchmarks than the same job on bare-metal. And this is music to the ears of Nasdaq.”
To learn more about these benchmarks and the performance results, download the Intel white paper here where my team in System Technologies and Optimization within Software and Solution Group was instrumental to achieve.
Watch the video above to learn how BlueData and Intel are helping Nasdaq overcome these Big Data challenges – delivering greater agility and cost-savings, while ensuring high performance and scalability.
As noted by Viola, “Nasdaq really has an incredible journey left to go in big data and the analytics space. You think about artificial intelligence and machine learning. But with partners like Intel, we know we’re going to get there in good shape. And with BlueData, it looks like we’ll be able to manage that data very well.”
Follow Michael Greene on Twitter @greene1of5 for the latest on Intel in Big Data and more.