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Big Data Analytics Using Splunk: Deriving Operational Intelligence from Social Media, Machine Data, Existing Data Warehouses, and Other Real-Time Streaming Sources
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Big Data Analytics Using Splunk: Deriving Operational Intelligence from Social Media, Machine Data, Existing Data Warehouses, and Other Real-Time Streaming Sources

by Peter Zadrozny, Raghu Kodali
May 2013
Beginner to intermediate content levelBeginner to intermediate
376 pages
11h 3m
English
Apress
Content preview from Big Data Analytics Using Splunk: Deriving Operational Intelligence from Social Media, Machine Data, Existing Data Warehouses, and Other Real-Time Streaming Sources

APPENDIX A

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The Performance of Splunk

This appendix contains an overview of Splunk’s performance as it relates to indexing, search, distributed search, and the effect of disk speed on searches. We also suggest some ways of gaining a better understanding of your Splunk environment, including search heads.

Types of Searches

We must start this appendix with a stern warning that performance cannot be generalized or extrapolated from other similar systems. No matter how much you think your application looks like another one, or the same one running in another place, you will not get close to extrapolating the performance. As a matter of fact, your ...

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Publisher Resources

ISBN: 9781430257615Purchase book