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IP Flow Analytics Enabled by Saisei and DPDK

IP Flow data is at the heart of most network visibility and analytics solutions. Acquiring a complete view of the network based on flow data records is a technical possibility, but almost never actually implemented in practice because of the complexity and compute, storage, and network overhead that make the implementation impractical and almost requiring a data scientist to deploy.

In this webinar, Saisei will discuss how its Big Data network analytics software, coupled with open source DPDK and Intel processors, enable a distributed IP Flow analytics model that makes billions of network analytics available in less than a second through distributed network sensors. The Saisei Flow Data API designed on top of DPDK is making the previous impractical task of gaining 100% network visibility a reality -- delivering complete visibility and network analytics data on-demand to users directly or through any of their current management tools. And it's doing it with a 1000th of the network, compute and storage overhead previously required. Saisei is making Big Data networking possible without the big box, overhead, complexity and costs.
Recorded Jul 12 2016 46 mins
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Presented by
Bill Beckett, Founder and Chief Strategy Officer, Saisei
Presentation preview: IP Flow Analytics Enabled by Saisei and DPDK

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Intel Network Builders
The Intel® Network Builders webinar program is a recurring webcast series in which ecosystem members and Intel technology experts delve into the technologies, topics, and issues facing the networking industry. Presenters delve into the network transformation taking place through the adoption of software defined networking (SDN) and network functions virtualization (NFV) across telecommunication and enterprise organizations.

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  • Title: IP Flow Analytics Enabled by Saisei and DPDK
  • Live at: Jul 12 2016 6:00 pm
  • Presented by: Bill Beckett, Founder and Chief Strategy Officer, Saisei
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