Implementing Splunk :: big data reporting and development for operational intelligence ... /
Learn to effectively use, configure, deploy and extend Splunk and implement its powerful capabilities.
Gespeichert in:
| 1. Verfasser: | |
|---|---|
| Format: | Elektronisch E-Book |
| Sprache: | English |
| Veröffentlicht: |
Birmingham :
Packt Pub.,
2013.
|
| Schriftenreihe: | Community experience distilled.
|
| Schlagworte: | |
| Online-Zugang: | Volltext |
| Zusammenfassung: | Learn to effectively use, configure, deploy and extend Splunk and implement its powerful capabilities. |
| Beschreibung: | 1 online resource (908 pages) |
| ISBN: | 9781849693295 1849693293 |
Internformat
MARC
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| 245 | 1 | 0 | |a Implementing Splunk : |b big data reporting and development for operational intelligence ... / |c Vincent Bumgarner. |
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| 505 | 0 | |a Table of Contents; Implementing Splunk: Big Data Reporting and Development for Operational Intelligence; Implementing Splunk: Big Data Reporting and Development for Operational Intelligence; Credits; About the Author; About the Reviewers; www.PacktPub.com; Support files, eBooks, discount offers and more; Why Subscribe?; Free Access for Packt account holders; Preface; What this book covers; What you need for this book; Who this book is for; Conventions; Reader feedback; Customer support; Downloading the example code; Errata; Piracy; Questions; 1. The Splunk Interface; Logging in to Splunk. | |
| 505 | 8 | |a The Home appThe top bar; Search 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; Using Manager; Summary; 2. Understanding Search; Using search terms effectively; Boolean and grouping operators; Clicking to modify your search; Event segmentation; Field widgets; Time; Using fields to search; Using the field picker; Using wildcards efficiently; Only trailing wildcards are efficient; Wildcards are tested last; Supplementing wildcards in fields; All about time. | |
| 505 | 8 | |a How Splunk parses timeHow Splunk stores time; How Splunk displays time; How time zones are determined and why it matters; Different ways to search against time; Specifying time in-line in your search; _indextime versus _time; Making searches faster; Sharing results with others; Saving searches for reuse; Creating alerts from searches; Schedule; Actions; Summary; 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. | |
| 505 | 8 | |a Timechart optionsWorking with fields; A 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; Summary; 4. Simple XML Dashboards; The purpose of dashboards; Using wizards to build dashboards. | |
| 505 | 8 | |a Scheduling the generation of dashboardsEditing the XML directly; UI Examples app; Building forms; Creating a form from a dashboard; Driving multiple panels from one form; Post-processing search results; Post-processing limitations; Panel 1; Panel 2; Panel 3; Final XML; Summary; 5. Advanced Search Examples; Using subsearches to find loosely related events; Subsearch; Subsearch caveats; Nested subsearches; Using transaction; Using transaction to determine the session length; Calculating the aggregate of transaction statistics; Combining subsearches with transaction; Determining concurrency. | |
| 520 | |a Learn to effectively use, configure, deploy and extend Splunk and implement its powerful capabilities. | ||
| 588 | 0 | |a Print version record. | |
| 630 | 0 | 7 | |a Splunk. |2 blmlsh |
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| contents | Table of Contents; Implementing Splunk: Big Data Reporting and Development for Operational Intelligence; Implementing Splunk: Big Data Reporting and Development for Operational Intelligence; Credits; About the Author; About the Reviewers; www.PacktPub.com; Support files, eBooks, discount offers and more; Why Subscribe?; Free Access for Packt account holders; Preface; What this book covers; What you need for this book; Who this book is for; Conventions; Reader feedback; Customer support; Downloading the example code; Errata; Piracy; Questions; 1. The Splunk Interface; Logging in to Splunk. The Home appThe top bar; Search 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; Using Manager; Summary; 2. Understanding Search; Using search terms effectively; Boolean and grouping operators; Clicking to modify your search; Event segmentation; Field widgets; Time; Using fields to search; Using the field picker; Using wildcards efficiently; Only trailing wildcards are efficient; Wildcards are tested last; Supplementing wildcards in fields; All about time. How Splunk parses timeHow Splunk stores time; How Splunk displays time; How time zones are determined and why it matters; Different ways to search against time; Specifying time in-line in your search; _indextime versus _time; Making searches faster; Sharing results with others; Saving searches for reuse; Creating alerts from searches; Schedule; Actions; Summary; 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. Timechart optionsWorking with fields; A 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; Summary; 4. Simple XML Dashboards; The purpose of dashboards; Using wizards to build dashboards. Scheduling the generation of dashboardsEditing the XML directly; UI Examples app; Building forms; Creating a form from a dashboard; Driving multiple panels from one form; Post-processing search results; Post-processing limitations; Panel 1; Panel 2; Panel 3; Final XML; Summary; 5. Advanced Search Examples; Using subsearches to find loosely related events; Subsearch; Subsearch caveats; Nested subsearches; Using transaction; Using transaction to determine the session length; Calculating the aggregate of transaction statistics; Combining subsearches with transaction; Determining concurrency. |
| ctrlnum | (OCoLC)828794315 |
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| discipline | Informatik |
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| id | ZDB-4-EBA-ocn828794315 |
| illustrated | Not Illustrated |
| indexdate | 2024-11-27T13:25:12Z |
| institution | BVB |
| isbn | 9781849693295 1849693293 |
| language | English |
| oclc_num | 828794315 |
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| publisher | Packt Pub., |
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| series | Community experience distilled. |
| series2 | Community experience distilled |
| spelling | Bumgarner, Vincent. Implementing Splunk : big data reporting and development for operational intelligence ... / Vincent Bumgarner. Birmingham : Packt Pub., 2013. 1 online resource (908 pages) text txt rdacontent computer c rdamedia online resource cr rdacarrier text file rda Community experience distilled Table of Contents; Implementing Splunk: Big Data Reporting and Development for Operational Intelligence; Implementing Splunk: Big Data Reporting and Development for Operational Intelligence; Credits; About the Author; About the Reviewers; www.PacktPub.com; Support files, eBooks, discount offers and more; Why Subscribe?; Free Access for Packt account holders; Preface; What this book covers; What you need for this book; Who this book is for; Conventions; Reader feedback; Customer support; Downloading the example code; Errata; Piracy; Questions; 1. The Splunk Interface; Logging in to Splunk. The Home appThe top bar; Search 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; Using Manager; Summary; 2. Understanding Search; Using search terms effectively; Boolean and grouping operators; Clicking to modify your search; Event segmentation; Field widgets; Time; Using fields to search; Using the field picker; Using wildcards efficiently; Only trailing wildcards are efficient; Wildcards are tested last; Supplementing wildcards in fields; All about time. How Splunk parses timeHow Splunk stores time; How Splunk displays time; How time zones are determined and why it matters; Different ways to search against time; Specifying time in-line in your search; _indextime versus _time; Making searches faster; Sharing results with others; Saving searches for reuse; Creating alerts from searches; Schedule; Actions; Summary; 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. Timechart optionsWorking with fields; A 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; Summary; 4. Simple XML Dashboards; The purpose of dashboards; Using wizards to build dashboards. Scheduling the generation of dashboardsEditing the XML directly; UI Examples app; Building forms; Creating a form from a dashboard; Driving multiple panels from one form; Post-processing search results; Post-processing limitations; Panel 1; Panel 2; Panel 3; Final XML; Summary; 5. Advanced Search Examples; Using subsearches to find loosely related events; Subsearch; Subsearch caveats; Nested subsearches; Using transaction; Using transaction to determine the session length; Calculating the aggregate of transaction statistics; Combining subsearches with transaction; Determining concurrency. Learn to effectively use, configure, deploy and extend Splunk and implement its powerful capabilities. Print version record. Splunk. blmlsh Big data. http://id.loc.gov/authorities/subjects/sh2012003227 Données volumineuses. COMPUTERS Digital Media General. bisacsh COMPUTERS Interactive & Multimedia. bisacsh COMPUTERS Web Site Design. bisacsh COMPUTERS Web User Generated Content. bisacsh Big data fast has work: Implementing Splunk - Big Data Reporting and Development for Operational Intelligence (Text) https://id.oclc.org/worldcat/entity/E39PCXXbQyX3QCbwq48Q9wY6w3 https://id.oclc.org/worldcat/ontology/hasWork Print version: Bumgarner, Vincent. Implementing Splunk. Birmingham : Packt Publishing, ©2013 9781849693288 Community experience distilled. http://id.loc.gov/authorities/names/no2011030603 FWS01 ZDB-4-EBA FWS_PDA_EBA https://search.ebscohost.com/login.aspx?direct=true&scope=site&db=nlebk&AN=533207 Volltext |
| spellingShingle | Bumgarner, Vincent Implementing Splunk : big data reporting and development for operational intelligence ... / Community experience distilled. Table of Contents; Implementing Splunk: Big Data Reporting and Development for Operational Intelligence; Implementing Splunk: Big Data Reporting and Development for Operational Intelligence; Credits; About the Author; About the Reviewers; www.PacktPub.com; Support files, eBooks, discount offers and more; Why Subscribe?; Free Access for Packt account holders; Preface; What this book covers; What you need for this book; Who this book is for; Conventions; Reader feedback; Customer support; Downloading the example code; Errata; Piracy; Questions; 1. The Splunk Interface; Logging in to Splunk. The Home appThe top bar; Search 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; Using Manager; Summary; 2. Understanding Search; Using search terms effectively; Boolean and grouping operators; Clicking to modify your search; Event segmentation; Field widgets; Time; Using fields to search; Using the field picker; Using wildcards efficiently; Only trailing wildcards are efficient; Wildcards are tested last; Supplementing wildcards in fields; All about time. How Splunk parses timeHow Splunk stores time; How Splunk displays time; How time zones are determined and why it matters; Different ways to search against time; Specifying time in-line in your search; _indextime versus _time; Making searches faster; Sharing results with others; Saving searches for reuse; Creating alerts from searches; Schedule; Actions; Summary; 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. Timechart optionsWorking with fields; A 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; Summary; 4. Simple XML Dashboards; The purpose of dashboards; Using wizards to build dashboards. Scheduling the generation of dashboardsEditing the XML directly; UI Examples app; Building forms; Creating a form from a dashboard; Driving multiple panels from one form; Post-processing search results; Post-processing limitations; Panel 1; Panel 2; Panel 3; Final XML; Summary; 5. Advanced Search Examples; Using subsearches to find loosely related events; Subsearch; Subsearch caveats; Nested subsearches; Using transaction; Using transaction to determine the session length; Calculating the aggregate of transaction statistics; Combining subsearches with transaction; Determining concurrency. Splunk. blmlsh Big data. http://id.loc.gov/authorities/subjects/sh2012003227 Données volumineuses. COMPUTERS Digital Media General. bisacsh COMPUTERS Interactive & Multimedia. bisacsh COMPUTERS Web Site Design. bisacsh COMPUTERS Web User Generated Content. bisacsh Big data fast |
| subject_GND | http://id.loc.gov/authorities/subjects/sh2012003227 |
| title | Implementing Splunk : big data reporting and development for operational intelligence ... / |
| title_auth | Implementing Splunk : big data reporting and development for operational intelligence ... / |
| title_exact_search | Implementing Splunk : big data reporting and development for operational intelligence ... / |
| title_full | Implementing Splunk : big data reporting and development for operational intelligence ... / Vincent Bumgarner. |
| title_fullStr | Implementing Splunk : big data reporting and development for operational intelligence ... / Vincent Bumgarner. |
| title_full_unstemmed | Implementing Splunk : big data reporting and development for operational intelligence ... / Vincent Bumgarner. |
| title_short | Implementing Splunk : |
| title_sort | implementing splunk big data reporting and development for operational intelligence |
| title_sub | big data reporting and development for operational intelligence ... / |
| topic | Splunk. blmlsh Big data. http://id.loc.gov/authorities/subjects/sh2012003227 Données volumineuses. COMPUTERS Digital Media General. bisacsh COMPUTERS Interactive & Multimedia. bisacsh COMPUTERS Web Site Design. bisacsh COMPUTERS Web User Generated Content. bisacsh Big data fast |
| topic_facet | Splunk. Big data. Données volumineuses. COMPUTERS Digital Media General. COMPUTERS Interactive & Multimedia. COMPUTERS Web Site Design. COMPUTERS Web User Generated Content. Big data |
| url | https://search.ebscohost.com/login.aspx?direct=true&scope=site&db=nlebk&AN=533207 |
| work_keys_str_mv | AT bumgarnervincent implementingsplunkbigdatareportinganddevelopmentforoperationalintelligence |