Implementing Splunk 7, Third Edition :: Effective operational intelligence to transform machine-generated data into valuable business insight, 3rd Edition.
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 bo...
Gespeichert in:
| 1. Verfasser: | |
|---|---|
| Format: | Elektronisch E-Book |
| Sprache: | English |
| Veröffentlicht: |
Birmingham :
Packt Publishing,
2018.
|
| Ausgabe: | 3rd ed. |
| Schlagworte: | |
| Online-Zugang: | Volltext |
| Zusammenfassung: | 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 ... |
| Beschreibung: | Using wizards to build dashboards. |
| Beschreibung: | 1 online resource (566 pages) |
| ISBN: | 9781788830508 1788830504 1788836286 9781788836289 |
Internformat
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| 100 | 1 | |a D. Miller, James. | |
| 245 | 1 | 0 | |a Implementing Splunk 7, Third Edition : |b Effective operational intelligence to transform machine-generated data into valuable business insight, 3rd Edition. |
| 250 | |a 3rd ed. | ||
| 260 | |a Birmingham : |b Packt Publishing, |c 2018. | ||
| 300 | |a 1 online resource (566 pages) | ||
| 336 | |a text |b txt |2 rdacontent | ||
| 337 | |a computer |b c |2 rdamedia | ||
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| 588 | 0 | |a Print version record. | |
| 505 | 0 | |a 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. | |
| 505 | 8 | |a 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. | |
| 505 | 8 | |a _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. | |
| 505 | 8 | |a 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. | |
| 505 | 8 | |a 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. | |
| 500 | |a Using wizards to build dashboards. | ||
| 520 | |a 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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| 650 | 6 | |a Exploration de données (Informatique) | |
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| 776 | 0 | 8 | |i Print version: |a D. Miller, James. |t Implementing Splunk 7, Third Edition : Effective operational intelligence to transform machine-generated data into valuable business insight, 3rd Edition. |d Birmingham : Packt Publishing, ©2018 |
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| 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. |
| ctrlnum | (OCoLC)1030820508 |
| dewey-full | 006.312 |
| dewey-hundreds | 000 - Computer science, information, general works |
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| discipline | Informatik |
| edition | 3rd ed. |
| format | Electronic eBook |
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| id | ZDB-4-EBA-on1030820508 |
| illustrated | Not Illustrated |
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| spelling | D. Miller, James. Implementing Splunk 7, Third Edition : Effective operational intelligence to transform machine-generated data into valuable business insight, 3rd Edition. 3rd ed. Birmingham : Packt Publishing, 2018. 1 online resource (566 pages) text txt rdacontent computer c rdamedia online resource cr rdacarrier Print version record. 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. Using wizards to build dashboards. 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 ... Data mining. http://id.loc.gov/authorities/subjects/sh97002073 Data Mining https://id.nlm.nih.gov/mesh/D057225 Exploration de données (Informatique) Data mining fast 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 FWS01 ZDB-4-EBA FWS_PDA_EBA https://search.ebscohost.com/login.aspx?direct=true&scope=site&db=nlebk&AN=1775108 Volltext |
| spellingShingle | D. Miller, James Implementing Splunk 7, Third Edition : Effective operational intelligence to transform machine-generated data into valuable business insight, 3rd Edition. 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. Data mining. http://id.loc.gov/authorities/subjects/sh97002073 Data Mining https://id.nlm.nih.gov/mesh/D057225 Exploration de données (Informatique) Data mining fast |
| subject_GND | http://id.loc.gov/authorities/subjects/sh97002073 https://id.nlm.nih.gov/mesh/D057225 |
| title | Implementing Splunk 7, Third Edition : Effective operational intelligence to transform machine-generated data into valuable business insight, 3rd Edition. |
| title_auth | Implementing Splunk 7, Third Edition : Effective operational intelligence to transform machine-generated data into valuable business insight, 3rd Edition. |
| title_exact_search | Implementing Splunk 7, Third Edition : Effective operational intelligence to transform machine-generated data into valuable business insight, 3rd Edition. |
| title_full | Implementing Splunk 7, Third Edition : Effective operational intelligence to transform machine-generated data into valuable business insight, 3rd Edition. |
| title_fullStr | Implementing Splunk 7, Third Edition : Effective operational intelligence to transform machine-generated data into valuable business insight, 3rd Edition. |
| title_full_unstemmed | Implementing Splunk 7, Third Edition : Effective operational intelligence to transform machine-generated data into valuable business insight, 3rd Edition. |
| title_short | Implementing Splunk 7, Third Edition : |
| title_sort | implementing splunk 7 third edition effective operational intelligence to transform machine generated data into valuable business insight 3rd edition |
| title_sub | Effective operational intelligence to transform machine-generated data into valuable business insight, 3rd Edition. |
| topic | Data mining. http://id.loc.gov/authorities/subjects/sh97002073 Data Mining https://id.nlm.nih.gov/mesh/D057225 Exploration de données (Informatique) Data mining fast |
| topic_facet | Data mining. Data Mining Exploration de données (Informatique) Data mining |
| url | https://search.ebscohost.com/login.aspx?direct=true&scope=site&db=nlebk&AN=1775108 |
| work_keys_str_mv | AT dmillerjames implementingsplunk7thirdeditioneffectiveoperationalintelligencetotransformmachinegenerateddataintovaluablebusinessinsight3rdedition |