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Splunk essentials : leverage the power of Splunk to efficiently analyze machine, log, web, and social media data /

This book is intended for a business person, analyst, or student who wants to quickly learn how to use Splunk to manage data. It would be helpful to have a bit of familiarity with basic computer concepts, but no prior experience of Splunk is required.

Detalles Bibliográficos
Clasificación:Libro Electrónico
Autor principal: Sigman, Betsy Page (Autor)
Formato: Electrónico eBook
Idioma:Inglés
Publicado: Birmingham, England : Packt Publishing Ltd, 2015.
Colección:Professional expertise distilled
Temas:
Acceso en línea:Texto completo

MARC

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100 1 |a Sigman, Betsy Page,  |e author. 
245 1 0 |a Splunk essentials :  |b leverage the power of Splunk to efficiently analyze machine, log, web, and social media data /  |c Betsy Page Sigman. 
264 1 |a Birmingham, England :  |b Packt Publishing Ltd,  |c 2015. 
264 4 |c ©2015 
300 |a 1 online resource (156 pages) :  |b illustrations (some color) 
336 |a text  |b txt  |2 rdacontent 
337 |a computer  |b c  |2 rdamedia 
338 |a online resource  |b cr  |2 rdacarrier 
347 |a text file 
490 0 |a Professional expertise distilled 
500 |a "Professional Expertise Distilled"--Cover 
500 |a Includes index. 
588 0 |a Online resource; title from PDF title page (ebrary, viewed March 16, 2015). 
505 0 |a Cover; Copyright; Credits; About the Author; About the Reviewers; www.PacktPub.com; Table of Contents; Preface; Chapter 1: Introducing Splunk; How to install Splunk; Splunk setup instructions; Setting up Splunk for Windows; Splunk for Mac; Starting up Splunk; The functions of Splunk; Splunk and big data; The three Vs; Other big data descriptors; Splunk data sources; Understanding events, event types, and fields in Splunk; Events; Event types; Sourcetypes; Fields; Getting data into Splunk; Summary; Chapter 2: An Introduction to Indexing and Searching; Collecting data to search 
505 8 |a Indexing data with SplunkUsing indexed data; Viewing a list of indexes; Bringing in indexed data; Specifying a sourcetype; What is Search Processing Language (SPL)?; Using pipes when processing data with Splunk; Types of SPL commands; Filter commands; The sort command; The grouping command; Reporting commands; Other commands; How to perform simple searches; Summary; Chapter 3: More on Using Search; More on search; Doing a count; Creating a count broken down by field values; Other stat functions; Using the eval command; Combining stats with eval; Using the timechart command; Visualizations 
505 8 |a Changing Format to Column ChartThe top command; Charting by the day of the week; Putting days of the week in an alphabetical order; Summary; Chapter 4: Reports in Splunk; Getting data ready for reporting; Tagging; Setting event types; The field extractor; The Report Builder; Creating a dashboard; Adding a panel with a search string; Built-in search dashboards; Creating a bar chart; Creating a stacked bar chart; Changing the placement of a legend; Creating an area chart across time; How to make a sparkline panel; Creating a scattergram; Creating a transaction; Radial Gauge 
505 8 |a Creating a Marker GaugeCreating a pivot table; Summary; Chapter 5: Splunk Applications; What are Splunk applications?; How to find Splunk apps; The wide range of Splunk applications; Apps versus add-ons; Types of apps; Splunk's app environment; Creating a Splunk applications; How to install an app; How to manage apps; Splunk's Twitter Application; Installing Splunk's Twitter app; Obtaining a Twitter account; Obtaining a Twitter API Key; Summary; Chapter 6: Using the Twitter App; Creating a Twitter index; Searching Twitter data; A simple search; Examining the Twitter event; The implied AND 
505 8 |a The need to specify ORFinding other words used; Using a lookup table; The built-in General Activity dashboard; The search code for the dashboard panels; Top Hashtags -- last 15 minutes; Top Mentions -- last 15 minutes; Time Tweet Zones -- 15 minutes; Tweet Stream (First-Time Users) -- last 30 seconds; The built-in per-user Activity dashboard; First panel -- Users Tweeting about @user (Without Direct RTs or Direct Replies); Second panel -- Users Replying to @user; Third panel -- Users Retweeting @user; Fourth panel -- Users Tweeting about #hashtag; Creating dashboard panels with Twitter data 
520 |a This book is intended for a business person, analyst, or student who wants to quickly learn how to use Splunk to manage data. It would be helpful to have a bit of familiarity with basic computer concepts, but no prior experience of Splunk is required. 
546 |a English. 
590 |a eBooks on EBSCOhost  |b EBSCO eBook Subscription Academic Collection - Worldwide 
650 0 |a Data mining  |x Data processing. 
650 0 |a Data mining  |x Computer programs. 
650 6 |a Exploration de données (Informatique)  |x Informatique. 
650 6 |a Exploration de données (Informatique)  |x Logiciels. 
650 7 |a COMPUTERS  |x Database Management  |x General.  |2 bisacsh 
776 0 8 |i Print version:  |a Sigman, Betsy Page.  |t Splunk essentials : leverage the power of Splunk to efficiently analyze machine, log, web, and social media data.  |d Birmingham, England : Packt Publishing Ltd, ©2015  |h iv, 140 pages  |z 9781784398385 
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