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ScienceLogic embeds MySQL in its EM7 network management appliances. An installation of EM7 can perform over half a billion database queries daily, storing massive amounts of data for both real-time and trended performance reporting. The product’s need for high-scale data handling and storage required solutions to increase efficiency and get to scale. One solution is to utilize data smoothing techniques in MySQL, using "group by". Data smoothing is the act of translating high-resolution data into lower resolution data for lower frequency trend analysis over a long period, and more importantly, to reduce unneeded resolution for data archival storage. Any application that performs frequent polling for data and archives this data for long (or infinite duration) has run into the situation of 'too much data'. Tables become huge and unsearchable, performance goes down, and over time - the resolution of this data becomes worthless compared to the cost to store it.
In this webinar we will show how data smoothing can provide a solution to these problems, covering the following topics:
For ISVs: Faster Data Reduction and Smoothing for Analysis & Archival in MySQL web presentation.
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