When companies think of Big Data, they often think of mining customer databases for tidbits of information that will help them personalize and improve the customer experience. While this is one area where data mining has shown value, there are other less “glamorous” datasets that can also benefit the organization. Machine data is one such area.
Many companies have discovered that there is “gold” in their server log files and machine data. Closely monitoring this data can improve security, help prevent costly outages and reduce the time it takes to recover from a problem.
After discovering this gold mine of information, organizations quickly realize the challenge that comes with capturing, indexing and storing significant amounts data that continues to amass by the hour. Such growth can result in even small enterprises increasing data production and storage requirements from, say, a few tens of gigabytes (GB) per day to hundreds of GB or even terabytes (TB) per day. That’s why it’s important to understand what type of storage solutions work best for Splunk data.
If you’d like to learn more, join us for Denver Big Data Analytics Day on May 18. GTRI’s Micah Montgomery will delve further into the operational intelligence that can be gained from machine data, and how Splunk Enterprise can turn this data into actionable insights. He will also lead a hands-on, interactive Splunk Fundamentals Bootcamp. Also presenting will be NetApp’s Steve Fritzinger, who will discuss how to manage the challenges of capturing and storing a flood of data without breaking the bank.
Register online for Denver Big Data and Analytics Day on Wednesday, May 18, 9:30 a.m. to 2:30 p.m. at GTRI’s Denver office.
AGENDA
09:30 AM-10:00 AM Registration
10:00 AM-10:45 AM Data Analytics Overview
10:45 AM-11:00 AM Splunk Enterprise 6.4 Demo
11:00 AM-11:30 AM Choosing the Right Storage Solutions for Splunk
11:30 AM-12:00 PM Customer Use Case
12:00 PM-12:30 PM Lunch
12:30 PM-02:30 PM Splunk Fundamentals Bootcamp (hands-on, interactive)
Robert Berger is Managing Director of Big Data at GTRI.
