Making the Big Shift

Bridging the Big Data Network Gap

May, 2014


When supporting big data deployments, IT professionals are challenged with ensuring not only sufficient WAN capacity but also quality. That’s because the bulk of big data traffic is server-to-server. Unlike user-to-server applications such as email, web surfing and file sharing, server-to-server traffic is latency sensitive. In other words, distributed big data storage and analytics applications require WAN performance that resembles the bandwidth and latency levels traditionally provisioned within a data center.

 


One response to the networking demands of big data is the deployment of highly reliable, scalable and secure WAN connections with quality of service (QoS) capabilities, such as business Ethernet. Additionally, organizations are increasingly eyeing opportunities to partner with cloud storage providers to host big data applications. This way big data storage, analytics processing and traffic can all be scaled within a cloud provider’s network, rather than an organization’s own WAN and data centers. A survey of IT professionals finds that 71 percent are interested in third-party cloud service providers for analysis of their data sets.1
 

Big data presents big opportunities and big challenges. While big data analytics can help businesses drive revenue, operating efficiencies and enterprise value, IT professionals are tasked with enabling the mission-critical infrastructure and applications that make it possible. Partnering with a service provider that can deliver high-performance, cost-effective WAN connectivity and cloud storage is an essential ingredient for big data success.



Sources:

1Intel IT Center, Peer Research, Big Data Analytics, 2012.