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Implementing Splunk 7, Third Edition : Effective operational intelligence to transform machine-generated data into valuable business insight, 3rd Edition.

Author: James D Miller
Publisher: Birmingham : Packt Publishing, 2018.
Edition/Format:   eBook : Document : English : 3rd edView all editions and formats
Summary:
This book will help you implement Splunk 7's new services and will show you how to utilize them to quickly and efficiently process machine-generated big data. You will explore Splunk Cloud and the Machine Learning Toolkit and use them with ease throughout your organization. By the end of the book, you will have learned to implement these ...
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Genre/Form: Electronic books
Additional Physical Format: Print version:
D. Miller, James.
Implementing Splunk 7, Third Edition : Effective operational intelligence to transform machine-generated data into valuable business insight, 3rd Edition.
Birmingham : Packt Publishing, ©2018
Material Type: Document, Internet resource
Document Type: Internet Resource, Computer File
All Authors / Contributors: James D Miller
ISBN: 9781788830508 1788830504 1788836286 9781788836289
OCLC Number: 1030820508
Notes: Using wizards to build dashboards.
Description: 1 online resource (566 pages)
Contents: Cover; Title Page; Copyright and Credits; Packt Upsell; Contributors; Table of Contents; Preface; Chapter 1: The Splunk Interface; Logging in to Splunk; The home app; The top bar; The Search & Reporting app; Data generator; The Summary view; Search; Actions; Timeline; The field picker; Fields; Search results; Options; Events viewer; Using the time picker; Using the field picker; The settings section; Splunk Cloud; Try before you buy; A quick cloud tour; The top bar in Splunk Cloud; Splunk reference app --
PAS; Universal forwarder; eventgen; Next steps; Summary; Chapter 2: Understanding Search. Using search terms effectivelyBoolean and grouping operators; Clicking to modify your search; Event segmentation; Field widgets; Time; Using fields to search; Using the field picker; Using wildcards efficiently; Supplementing wildcards in fields; All about time; How Splunk parses time; How Splunk stores time; How Splunk displays time; How time zones are determined and why it matters; Different ways to search against time; Presets; Relative; Real-time; Windowed real-time versus all-time real-time searches; Date range; Date and time range; Advanced; Specifying time in-line in your search. _indextime versus _timeMaking searches faster; Sharing results with others; The URL; Save As Report; Save As Dashboard Panel; Save As Alert; Save As Event Type; Searching job settings; Saving searches for reuse; Creating alerts from searches; Enable Actions; Action Options; Sharing; Event annotations; An illustration; Summary; Chapter 3: Tables, Charts, and Fields; About the pipe symbol; Using top to show common field values; Controlling the output of top; Using stats to aggregate values; Using chart to turn data; Using timechart to show values over time; The timechart options. Working with fieldsA regular expression primer; Commands that create fields; eval; rex; Extracting loglevel; Using the extract fields interface; Using rex to prototype a field; Using the admin interface to build a field; Indexed fields versus extracted fields; Indexed field case 1 --
rare instances of a common term; Indexed field case 2 --
splitting words; Indexed field case 3 --
application from source; Indexed field case 4 --
slow requests; Indexed field case 5 --
unneeded work; Chart enhancements in version 7.0; charting.lineWidth; charting.data.fieldHideList; charting.legend.mode. Charting.fieldDashStylescharting.axis Y.abbreviation; Summary; Chapter 4: Data Models and Pivots; What is a data model?; What does a data model search?; Data model objects; Object constraining; Attributes; Acceleration in version 7.0; Creating a data model; Filling in the new data model dialog; Editing fields (attributes); Lookup attributes; Children; What is a pivot?; The Pivot Editor; Working with pivot elements; Filtering pivots; Split (row or column); Column values; Pivot table formatting; A quick example; Sparklines; Summary; Chapter 5: Simple XML Dashboards; The purpose of dashboards.

Abstract:

This book will help you implement Splunk 7's new services and will show you how to utilize them to quickly and efficiently process machine-generated big data. You will explore Splunk Cloud and the Machine Learning Toolkit and use them with ease throughout your organization. By the end of the book, you will have learned to implement these ...

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