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Webinar Replay: Which Storage Architecture is Best for Splunk Analytics?

Download this webcast and hear from industry experts about the pros and cons of the three most common storage architectures for Splunk.

Featured speakers:

George Crump
President and Founder of Storage Switzerland
Storage_Switzerland-Logo.jpg

Neil Glazebrook
VP, Product Management, ClearSky Data

According to IDC, by 2020 40 percent of all data will be machine-generated. Much of this data is unstructured log data from web/app servers, mobile app/devices, and internet of things (IoT). Enterprises of all types and sizes are looking at ways to analyze this data to decrease security threats, identify new revenue opportunities and increase operational efficiency. Applications like Splunk are enabling the rapid analysis of this machine-generated data.

But the storage infrastructure is ill-prepared to allow Splunk to achieve its full potential. Join Storage Switzerland and ClearSky data for our live webinar, "Which Storage Architecture is Best for Splunk Analytics?"

We will discuss the pros and cons of the three most common storage architectures for Splunk, enabling you to decide which makes the most sense for your organization.

  1. Leverage existing storage resources
  2. Deploy a cloud storage and SaaS solution
  3. Deploy a hybrid, Splunk-ready solution

We will leave plenty of time for questions. Ask us for suggestions on how you can overcome the storage challenges that Splunk creates.

Watch the Webinar

Presenters

George Crump

President and Founder of Storage Switzerland

George Crump is President and Founder of Storage Switzerland. With 25 years of experience designing storage solutions for data centers across the US, he has seen the birth of such technologies as RAID, NAS and SAN. Prior to founding Storage Switzerland he was CTO at one the nations largest storage integrators where he was in charge of technology testing, integration and product selection.

Neil Glazebrook

VP, Product Management, ClearSky Data

Neil has served in various senior product management positions, bringing complex networking and video technologies to market. Before joining ClearSky Data, Neil was a product manager in Akamai's media business unit, and then in a channel sales role managing six of Akamai’s largest media channel partners. Neil co-authored an IEEE paper on multicast IPTV distribution and error correction. He recently earned an MBA with Honors from Babson College.