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Implementing Splunk 7, Third Edition

You're reading from   Implementing Splunk 7, Third Edition Effective operational intelligence to transform machine-generated data into valuable business insight

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Product type Paperback
Published in Mar 2018
Publisher Packt
ISBN-13 9781788836289
Length 576 pages
Edition 3rd Edition
Languages
Tools
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Toc

Table of Contents (19) Chapters Close

Title Page
Packt Upsell
Contributors
Preface
1. The Splunk Interface FREE CHAPTER 2. Understanding Search 3. Tables, Charts, and Fields 4. Data Models and Pivots 5. Simple XML Dashboards 6. Advanced Search Examples 7. Extending Search 8. Working with Apps 9. Building Advanced Dashboards 10. Summary Indexes and CSV Files 11. Configuring Splunk 12. Advanced Deployments 13. Extending Splunk 14. Machine Learning Toolkit Index

Acceleration


With Splunk, you can search through enormous volumes of data (proportional to the ever-growing number of events to summarize, as well as the number of users accessing the data), potentially increasing the amount of time it takes to complete beyond acceptable lengths.

Big data – summary strategy

Generally speaking, you create summaries of data to report on big data. These summaries are created by background runs of the search on which your report is based. When a user runs a report against data that has been pre-summarized, it runs considerably faster because the summaries it uses are much smaller bits of the total number of events to be searched.

This concept of pre-summarizing events can be used with your reports, data models, and indexes. Right now, we will focus on report summary acceleration.

Report acceleration

As we've already stated, summary acceleration uses summaries of events to speed up completion times for certain kinds of reports, and report summary acceleration uses...

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