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Transformation at the Edge: 3 Things You Need to Know

Posted by Courtney Pallotta on 7/28/17 9:00 AM

3 Things to know about edge computingOne of the key factors in efficiently delivering elastic storage for primary, backup and DR data is keeping data close to its users. Enterprises need a single, high-performance, low-latency option, but that doesn’t mean they need everything in the same ever-expanding, increasingly expensive and complex storage pool. If you follow the full lifecycle of your data – from the hot data you need close at hand daily all the way to your cold or archival data – it makes sense that some of your storage can move to the cloud, while some must be closer to your applications.

This is why edge computing and edge data center concepts are important. Below are a few key points you need to know about the transformational power of the edge:

1. The edge is a landing pad where you can do your initial processing.

In this conversation with Stu Miniman of siliconANGLE, ClearSky Data CTO and Co-Founder Laz Vekiarides talks about the fire hose of data let loose by the Internet of Things (IoT). Does IoT data management need to happen at the edge? Laz says, “You need to aggregate it at some point. So where the aggregation point that’s local, that’s very low latency, that’s very, very fast, that provides you that landing pad where you can do your initial processing.”

2. We’re getting closer to the edge.

This Data Center Journal blog explores the value of the edge for future data center needs, while also breaking down just what that would entail as an enterprise-level DIY project. Space constraints, hardware and bandwidth standards, port capacity, cable management and more make it challenging to avoid data transmission errors, performance problems and downtime. That said, edge computing as a reality for data storage is within reach when you extend the cloud to a metro edge. This approach lets you manage and consume storage as if it were local infrastructure. The result is that all your applications benefit from cloud elasticity and economics, while also being close to users.

3. Storage as a service delivers the architecture for edge computing.

A hybrid storage infrastructure solves the challenges noted above, while making it easy to allow local processing at the edge and still provide options to store and process the same data in remote locations and even the cloud.

Learn more about transformation at the edge and plugging into storage as a service in our webinar series, “Get out of the box: What you’ll need to know next about storage.” 

Topics: Enterprise Storage, Bringing the Cloud to Primary Data 

About the Author

Courtney Pallotta

Courtney is a marketing professional and entrepreneur with experience in go-to-market strategy, product marketing, demand generation and client advocacy. She has a passion for authentic marketing centered around creating communities of users that share ideas, adopt and advocate for capabilities that make them successful.

As a founding Netezza marketing team member, she built the demand generation and client advocacy programs and led these teams from launch through IPO and acquisition by IBM. At IBM, Courtney led two acquisitions, grew the big data and analytics portfolio and launched the marketing of the data science and open source initiative for IBM Analytics. At ClearSky, Courtney leads the marketing team and is focused on digital demand generation, deep client understanding and advocacy as key measures of go-to-market success.

Courtney enjoys spending time outdoors with her children and husband running, hiking and skiing.

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