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Splunk 7 Essentials, Third Edition

You're reading from   Splunk 7 Essentials, Third Edition Demystify machine data by leveraging datasets, building reports, and sharing powerful insights

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Product type Paperback
Published in Mar 2018
Publisher Packt
ISBN-13 9781788839112
Length 220 pages
Edition 3rd Edition
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Authors (4):
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Erickson Delgado Erickson Delgado
Author Profile Icon Erickson Delgado
Erickson Delgado
Steven Koelpin Steven Koelpin
Author Profile Icon Steven Koelpin
Steven Koelpin
J-P Contreras J-P Contreras
Author Profile Icon J-P Contreras
J-P Contreras
Betsy Page Sigman Betsy Page Sigman
Author Profile Icon Betsy Page Sigman
Betsy Page Sigman
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Toc

Table of Contents (10) Chapters Close

Preface 1. Splunk – Getting Started FREE CHAPTER 2. Bringing in Data 3. Search Processing Language 4. Reporting, Alerts, and Search Optimization 5. Dynamic Dashboarding 6. Data Models and Pivot 7. HTTP Event Collector 8. Best Practices and Advanced Queries 9. Taking Splunk to the Organization

Splunk and big data

Big data is a widely used term but, as is often the case, one that means different things to different people. In this part of the chapter, we present common characteristics of big data .

There is no doubt that today there is a lot of data, and more commonly today, the term big data is not meant to reference the volume as much as it is characterized by other factors, including variability so wide that legacy, conventional organizational data systems cannot consume and produce analytics from it.

Streaming data

Streaming data is almost always being generated, with a timestamp associated to each entry. Splunk's inherent ability to monitor and track data loaded from ever growing log files, or accept data...

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