The move to data consolidation from on-prem to the edge | #HS16Dublin
The amount of data an organization accumulates has more than doubled over the past year. The enterprise is dealing with siloed data, data stored in the cloud and data at the edge, and consolidation and connecting people with the data they need is the next step for companies like Hortonworks, Inc.
Shaun Connolly, VP of corporate strategy at Hortonworks, joined John Furrier (@furrier) and Dave Vellante (@dvellante), cohosts of theCUBE, from the SiliconANGLE Media team, to talk about the need to create a vibrant way of consolidating the data to provide customers with a 360-degree view.
Data logistics
When asked about the direction of Hortonworks’ upcoming efforts in the Internet of Things (IoT) space, Connolly explained, “Since the tail end of last year we began to make the transformation from a single platform company to a multi-product and solutions company. That’s where we have our emerging products team focused in the areas of data in motion, in particular in the Internet of Things area, whether it’s related to cyber security, connected car and some of the emerging use-cases.”
Last August the company acquired Onyara, Inc., the creator of and key contributor to Apache NiFi, to advance its IoT efforts. “I call it a data logistics platform, a FedEx system for data delivery is kind of how I like to look at it,” Connolly said. “It is the foundation of that team — getting the data where it needs to be.”
Connecting the data platform
According to Connolly, it’s a world of connective data platforms, and those platforms need to reside where they are. He believes that key is to actively orchestrate the data to get it to where it needs to be in a secure and transparent way that you can use to influence the edge. This helps to reshape the data and helps to develop a closed-loop system that is adaptive.
Business impact over technology
“We are in the age of data, and before we arrived here, in many cases the systems are siloed and highly structured and that is what is different … Your 360 view winds up being not just about the structured world, it winds up being about all of that contextual data that surrounds those transactions,” Connolly stated.
He continued to explain that the economics and the ability to capture data are driving the growth of analytics. However, he feels that you need the architecture to get there and noted that there is a need for a vibrant way of getting the data to get the 360 view and it is necessary to interact where the data resides.
Message to new on borders
Connolly said that successful companies focus on use-cases and that people who are going to be using the Hadoop platform should do the same. He recommended looking at the journey to assembling a single view before getting to predictive analytics.
The key to corporate buy-in for those concerned with security is to create a response plan and know that the nature of solving security issues is to change from how things were done in the past. He also discussed advanced machine learning and a finely-tuned, compliant security data lake.
Watch the full interview below, and be sure to check out more of SiliconANGLE and theCUBE’s coverage of Hadoop Summit 2016 – Dublin. And make sure to join in during theCUBE’s live coverage during the event by joining in on CrowdChat.
Photo by SiliconANGLE
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