Implementing Splunk :: a comprehensive guide to help you transform big data into valuable business insights with Splunk 6.2 /
If you are a data analyst with basic knowledge of Big Data analysis but no knowledge of Splunk, then this book will help you get started with Splunk. The book assumes that you have access to a copy of Splunk, ideally not in production, and many examples also assume you have administrator rights.
Gespeichert in:
| Hauptverfasser: | , |
|---|---|
| Format: | Elektronisch E-Book |
| Sprache: | English |
| Veröffentlicht: |
Birmingham, UK :
Packt Publishing,
2015.
|
| Ausgabe: | Second edition. |
| Schriftenreihe: | Professional expertise distilled.
|
| Schlagworte: | |
| Online-Zugang: | Volltext |
| Zusammenfassung: | If you are a data analyst with basic knowledge of Big Data analysis but no knowledge of Splunk, then this book will help you get started with Splunk. The book assumes that you have access to a copy of Splunk, ideally not in production, and many examples also assume you have administrator rights. |
| Beschreibung: | Includes index. |
| Beschreibung: | 1 online resource (1 volume) : illustrations |
| ISBN: | 9781784399306 1784399302 1784391603 9781784391607 |
Internformat
MARC
| LEADER | 00000cam a2200000 i 4500 | ||
|---|---|---|---|
| 001 | ZDB-4-EBA-ocn918863968 | ||
| 003 | OCoLC | ||
| 005 | 20241004212047.0 | ||
| 006 | m o d | ||
| 007 | cr |n||||||||| | ||
| 008 | 150817s2015 enka o 001 0 eng d | ||
| 040 | |a UMI |b eng |e rda |e pn |c UMI |d OCLCF |d EBLCP |d IDEBK |d DEBSZ |d COO |d YDXCP |d DEBBG |d OCLCO |d OCLCA |d NLE |d N$T |d OCLCQ |d MERUC |d OCLCQ |d CEF |d AGLDB |d OCLCQ |d WYU |d OCLCQ |d VLY |d OCLCO |d OCLCQ |d QGK |d OCLCO |d OCLCL |d OCLCQ | ||
| 019 | |a 915154105 |a 916950369 |a 923616106 |a 958465229 |a 1162199041 |a 1259164598 | ||
| 020 | |a 9781784399306 | ||
| 020 | |a 1784399302 | ||
| 020 | |a 1784391603 | ||
| 020 | |a 9781784391607 | ||
| 020 | |z 9781784391607 | ||
| 035 | |a (OCoLC)918863968 |z (OCoLC)915154105 |z (OCoLC)916950369 |z (OCoLC)923616106 |z (OCoLC)958465229 |z (OCoLC)1162199041 |z (OCoLC)1259164598 | ||
| 037 | |a CL0500000627 |b Safari Books Online | ||
| 050 | 4 | |a QA76.9.D32 | |
| 072 | 7 | |a COM |x 021030 |2 bisacsh | |
| 082 | 7 | |a 005.7565 | |
| 049 | |a MAIN | ||
| 100 | 1 | |a Bumgarner, Vincent, |e author. |0 http://id.loc.gov/authorities/names/no2016008164 | |
| 245 | 1 | 0 | |a Implementing Splunk : |b a comprehensive guide to help you transform big data into valuable business insights with Splunk 6.2 / |c Vincent Bumgarner, James D. Miller. |
| 246 | 3 | 0 | |a Comprehensive guide to help you transform big data into valuable business insights with Splunk 6.2 |
| 250 | |a Second edition. | ||
| 264 | 1 | |a Birmingham, UK : |b Packt Publishing, |c 2015. | |
| 300 | |a 1 online resource (1 volume) : |b illustrations | ||
| 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 | 1 | |a Professional expertise distilled | |
| 588 | 0 | |a Online resource; title from cover (Safari, viewed August 13, 2015). | |
| 500 | |a Includes index. | ||
| 505 | 0 | |a Cover; Copyright; Credits; About the Authors; About the Reviewers; www.PacktPub.com; Table of Contents; Preface; Chapter 1: The Splunk Interface; Logging into 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; The events viewer; Using the time picker; Using the field picker; The settings section; Summary; Chapter 2: Understanding Search; Using search terms effectively; Boolean and grouping operators; Clicking to modify your search; Event segmentation; Field widgets; Time. | |
| 505 | 8 | |a Using fields to searchUsing 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; Date range; Date and time range; Advanced; Specifying time in-line in your search; _indextime versus _time; Making searches faster; Sharing results with others; The URL; Save as report; Save as dashboard panel; Save as alert; Save as event type; Search job settings. | |
| 505 | 8 | |a Saving searches for reuseCreating alerts from searches; Enable actions; Action options; Sharing; 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 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. | |
| 505 | 8 | |a Indexed fields versus extracted fieldsSummary; Chapter 4: Data Models and Pivots; What is a data model?; What does a data model search?; Data model objects; Object constraining; Attributes; Creating a data model; Filling in the new data model dialog; Editing attributes; Lookup attributes; Children; What is a pivot?; The pivot editor; Working with pivot elements; Filtering your 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. | |
| 505 | 8 | |a Adding another panelA cool trick; Converting the panel to a report; More options; Back to the dashboard; Add input; Edit source; Editing 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; Features replaced; Autorun dashboard; Scheduling the generation of dashboards; Summary; Chapter 6: Advanced Search Examples; Using subsearches to find loosely related events; Subsearch; Subsearch caveats; Nested subsearches; Using transaction. | |
| 520 | |a If you are a data analyst with basic knowledge of Big Data analysis but no knowledge of Splunk, then this book will help you get started with Splunk. The book assumes that you have access to a copy of Splunk, ideally not in production, and many examples also assume you have administrator rights. | ||
| 546 | |a English. | ||
| 650 | 0 | |a Big data. |0 http://id.loc.gov/authorities/subjects/sh2012003227 | |
| 650 | 0 | |a Data mining. |0 http://id.loc.gov/authorities/subjects/sh97002073 | |
| 650 | 0 | |a Automatic data collection systems. |0 http://id.loc.gov/authorities/subjects/sh85010095 | |
| 650 | 6 | |a Données volumineuses. | |
| 650 | 6 | |a Exploration de données (Informatique) | |
| 650 | 6 | |a Collecte automatique des données. | |
| 650 | 7 | |a COMPUTERS |x Databases |x Data Mining. |2 bisacsh | |
| 650 | 7 | |a Automatic data collection systems |2 fast | |
| 650 | 7 | |a Big data |2 fast | |
| 650 | 7 | |a Data mining |2 fast | |
| 700 | 1 | |a Miller, James D., |e author. |0 http://id.loc.gov/authorities/names/n96060135 | |
| 758 | |i has work: |a Implementing Splunk (Text) |1 https://id.oclc.org/worldcat/entity/E39PCFF9MQBpvQcxpFRctWKhMd |4 https://id.oclc.org/worldcat/ontology/hasWork | ||
| 776 | 0 | 8 | |i Print version: |a Bumgarner, Vincent. |t Implementing Splunk. |d Birmingham : Packt Publishing, ©2015 |z 9781784391607 |
| 830 | 0 | |a Professional expertise distilled. | |
| 856 | 4 | 0 | |l FWS01 |p ZDB-4-EBA |q FWS_PDA_EBA |u https://search.ebscohost.com/login.aspx?direct=true&scope=site&db=nlebk&AN=1045701 |3 Volltext |
| 938 | |a EBL - Ebook Library |b EBLB |n EBL2120242 | ||
| 938 | |a EBSCOhost |b EBSC |n 1045701 | ||
| 938 | |a ProQuest MyiLibrary Digital eBook Collection |b IDEB |n cis32249882 | ||
| 938 | |a YBP Library Services |b YANK |n 12548033 | ||
| 994 | |a 92 |b GEBAY | ||
| 912 | |a ZDB-4-EBA | ||
| 049 | |a DE-863 | ||
Datensatz im Suchindex
| DE-BY-FWS_katkey | ZDB-4-EBA-ocn918863968 |
|---|---|
| _version_ | 1816882320917921792 |
| adam_text | |
| any_adam_object | |
| author | Bumgarner, Vincent Miller, James D. |
| author_GND | http://id.loc.gov/authorities/names/no2016008164 http://id.loc.gov/authorities/names/n96060135 |
| author_facet | Bumgarner, Vincent Miller, James D. |
| author_role | aut aut |
| author_sort | Bumgarner, Vincent |
| author_variant | v b vb j d m jd jdm |
| building | Verbundindex |
| bvnumber | localFWS |
| callnumber-first | Q - Science |
| callnumber-label | QA76 |
| callnumber-raw | QA76.9.D32 |
| callnumber-search | QA76.9.D32 |
| callnumber-sort | QA 276.9 D32 |
| callnumber-subject | QA - Mathematics |
| collection | ZDB-4-EBA |
| contents | Cover; Copyright; Credits; About the Authors; About the Reviewers; www.PacktPub.com; Table of Contents; Preface; Chapter 1: The Splunk Interface; Logging into 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; The events viewer; Using the time picker; Using the field picker; The settings section; Summary; Chapter 2: Understanding Search; Using search terms effectively; Boolean and grouping operators; Clicking to modify your search; Event segmentation; Field widgets; Time. Using fields to searchUsing 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; Date range; Date and time range; Advanced; Specifying time in-line in your search; _indextime versus _time; Making searches faster; Sharing results with others; The URL; Save as report; Save as dashboard panel; Save as alert; Save as event type; Search job settings. Saving searches for reuseCreating alerts from searches; Enable actions; Action options; Sharing; 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 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 fieldsSummary; Chapter 4: Data Models and Pivots; What is a data model?; What does a data model search?; Data model objects; Object constraining; Attributes; Creating a data model; Filling in the new data model dialog; Editing attributes; Lookup attributes; Children; What is a pivot?; The pivot editor; Working with pivot elements; Filtering your 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. Adding another panelA cool trick; Converting the panel to a report; More options; Back to the dashboard; Add input; Edit source; Editing 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; Features replaced; Autorun dashboard; Scheduling the generation of dashboards; Summary; Chapter 6: Advanced Search Examples; Using subsearches to find loosely related events; Subsearch; Subsearch caveats; Nested subsearches; Using transaction. |
| ctrlnum | (OCoLC)918863968 |
| dewey-full | 005.7565 |
| dewey-hundreds | 000 - Computer science, information, general works |
| dewey-ones | 005 - Computer programming, programs, data, security |
| dewey-raw | 005.7565 |
| dewey-search | 005.7565 |
| dewey-sort | 15.7565 |
| dewey-tens | 000 - Computer science, information, general works |
| discipline | Informatik |
| edition | Second edition. |
| format | Electronic eBook |
| fullrecord | <?xml version="1.0" encoding="UTF-8"?><collection xmlns="http://www.loc.gov/MARC21/slim"><record><leader>06515cam a2200733 i 4500</leader><controlfield tag="001">ZDB-4-EBA-ocn918863968</controlfield><controlfield tag="003">OCoLC</controlfield><controlfield tag="005">20241004212047.0</controlfield><controlfield tag="006">m o d </controlfield><controlfield tag="007">cr |n|||||||||</controlfield><controlfield tag="008">150817s2015 enka o 001 0 eng d</controlfield><datafield tag="040" ind1=" " ind2=" "><subfield code="a">UMI</subfield><subfield code="b">eng</subfield><subfield code="e">rda</subfield><subfield code="e">pn</subfield><subfield code="c">UMI</subfield><subfield code="d">OCLCF</subfield><subfield code="d">EBLCP</subfield><subfield code="d">IDEBK</subfield><subfield code="d">DEBSZ</subfield><subfield code="d">COO</subfield><subfield code="d">YDXCP</subfield><subfield code="d">DEBBG</subfield><subfield code="d">OCLCO</subfield><subfield code="d">OCLCA</subfield><subfield code="d">NLE</subfield><subfield code="d">N$T</subfield><subfield code="d">OCLCQ</subfield><subfield code="d">MERUC</subfield><subfield code="d">OCLCQ</subfield><subfield code="d">CEF</subfield><subfield code="d">AGLDB</subfield><subfield code="d">OCLCQ</subfield><subfield code="d">WYU</subfield><subfield code="d">OCLCQ</subfield><subfield code="d">VLY</subfield><subfield code="d">OCLCO</subfield><subfield code="d">OCLCQ</subfield><subfield code="d">QGK</subfield><subfield code="d">OCLCO</subfield><subfield code="d">OCLCL</subfield><subfield code="d">OCLCQ</subfield></datafield><datafield tag="019" ind1=" " ind2=" "><subfield code="a">915154105</subfield><subfield code="a">916950369</subfield><subfield code="a">923616106</subfield><subfield code="a">958465229</subfield><subfield code="a">1162199041</subfield><subfield code="a">1259164598</subfield></datafield><datafield tag="020" ind1=" " ind2=" "><subfield code="a">9781784399306</subfield></datafield><datafield tag="020" ind1=" " ind2=" "><subfield code="a">1784399302</subfield></datafield><datafield tag="020" ind1=" " ind2=" "><subfield code="a">1784391603</subfield></datafield><datafield tag="020" ind1=" " ind2=" "><subfield code="a">9781784391607</subfield></datafield><datafield tag="020" ind1=" " ind2=" "><subfield code="z">9781784391607</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(OCoLC)918863968</subfield><subfield code="z">(OCoLC)915154105</subfield><subfield code="z">(OCoLC)916950369</subfield><subfield code="z">(OCoLC)923616106</subfield><subfield code="z">(OCoLC)958465229</subfield><subfield code="z">(OCoLC)1162199041</subfield><subfield code="z">(OCoLC)1259164598</subfield></datafield><datafield tag="037" ind1=" " ind2=" "><subfield code="a">CL0500000627</subfield><subfield code="b">Safari Books Online</subfield></datafield><datafield tag="050" ind1=" " ind2="4"><subfield code="a">QA76.9.D32</subfield></datafield><datafield tag="072" ind1=" " ind2="7"><subfield code="a">COM</subfield><subfield code="x">021030</subfield><subfield code="2">bisacsh</subfield></datafield><datafield tag="082" ind1="7" ind2=" "><subfield code="a">005.7565</subfield></datafield><datafield tag="049" ind1=" " ind2=" "><subfield code="a">MAIN</subfield></datafield><datafield tag="100" ind1="1" ind2=" "><subfield code="a">Bumgarner, Vincent,</subfield><subfield code="e">author.</subfield><subfield code="0">http://id.loc.gov/authorities/names/no2016008164</subfield></datafield><datafield tag="245" ind1="1" ind2="0"><subfield code="a">Implementing Splunk :</subfield><subfield code="b">a comprehensive guide to help you transform big data into valuable business insights with Splunk 6.2 /</subfield><subfield code="c">Vincent Bumgarner, James D. Miller.</subfield></datafield><datafield tag="246" ind1="3" ind2="0"><subfield code="a">Comprehensive guide to help you transform big data into valuable business insights with Splunk 6.2</subfield></datafield><datafield tag="250" ind1=" " ind2=" "><subfield code="a">Second edition.</subfield></datafield><datafield tag="264" ind1=" " ind2="1"><subfield code="a">Birmingham, UK :</subfield><subfield code="b">Packt Publishing,</subfield><subfield code="c">2015.</subfield></datafield><datafield tag="300" ind1=" " ind2=" "><subfield code="a">1 online resource (1 volume) :</subfield><subfield code="b">illustrations</subfield></datafield><datafield tag="336" ind1=" " ind2=" "><subfield code="a">text</subfield><subfield code="b">txt</subfield><subfield code="2">rdacontent</subfield></datafield><datafield tag="337" ind1=" " ind2=" "><subfield code="a">computer</subfield><subfield code="b">c</subfield><subfield code="2">rdamedia</subfield></datafield><datafield tag="338" ind1=" " ind2=" "><subfield code="a">online resource</subfield><subfield code="b">cr</subfield><subfield code="2">rdacarrier</subfield></datafield><datafield tag="347" ind1=" " ind2=" "><subfield code="a">text file</subfield></datafield><datafield tag="490" ind1="1" ind2=" "><subfield code="a">Professional expertise distilled</subfield></datafield><datafield tag="588" ind1="0" ind2=" "><subfield code="a">Online resource; title from cover (Safari, viewed August 13, 2015).</subfield></datafield><datafield tag="500" ind1=" " ind2=" "><subfield code="a">Includes index.</subfield></datafield><datafield tag="505" ind1="0" ind2=" "><subfield code="a">Cover; Copyright; Credits; About the Authors; About the Reviewers; www.PacktPub.com; Table of Contents; Preface; Chapter 1: The Splunk Interface; Logging into 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; The events viewer; Using the time picker; Using the field picker; The settings section; Summary; Chapter 2: Understanding Search; Using search terms effectively; Boolean and grouping operators; Clicking to modify your search; Event segmentation; Field widgets; Time.</subfield></datafield><datafield tag="505" ind1="8" ind2=" "><subfield code="a">Using fields to searchUsing 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; Date range; Date and time range; Advanced; Specifying time in-line in your search; _indextime versus _time; Making searches faster; Sharing results with others; The URL; Save as report; Save as dashboard panel; Save as alert; Save as event type; Search job settings.</subfield></datafield><datafield tag="505" ind1="8" ind2=" "><subfield code="a">Saving searches for reuseCreating alerts from searches; Enable actions; Action options; Sharing; 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 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.</subfield></datafield><datafield tag="505" ind1="8" ind2=" "><subfield code="a">Indexed fields versus extracted fieldsSummary; Chapter 4: Data Models and Pivots; What is a data model?; What does a data model search?; Data model objects; Object constraining; Attributes; Creating a data model; Filling in the new data model dialog; Editing attributes; Lookup attributes; Children; What is a pivot?; The pivot editor; Working with pivot elements; Filtering your 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.</subfield></datafield><datafield tag="505" ind1="8" ind2=" "><subfield code="a">Adding another panelA cool trick; Converting the panel to a report; More options; Back to the dashboard; Add input; Edit source; Editing 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; Features replaced; Autorun dashboard; Scheduling the generation of dashboards; Summary; Chapter 6: Advanced Search Examples; Using subsearches to find loosely related events; Subsearch; Subsearch caveats; Nested subsearches; Using transaction.</subfield></datafield><datafield tag="520" ind1=" " ind2=" "><subfield code="a">If you are a data analyst with basic knowledge of Big Data analysis but no knowledge of Splunk, then this book will help you get started with Splunk. The book assumes that you have access to a copy of Splunk, ideally not in production, and many examples also assume you have administrator rights.</subfield></datafield><datafield tag="546" ind1=" " ind2=" "><subfield code="a">English.</subfield></datafield><datafield tag="650" ind1=" " ind2="0"><subfield code="a">Big data.</subfield><subfield code="0">http://id.loc.gov/authorities/subjects/sh2012003227</subfield></datafield><datafield tag="650" ind1=" " ind2="0"><subfield code="a">Data mining.</subfield><subfield code="0">http://id.loc.gov/authorities/subjects/sh97002073</subfield></datafield><datafield tag="650" ind1=" " ind2="0"><subfield code="a">Automatic data collection systems.</subfield><subfield code="0">http://id.loc.gov/authorities/subjects/sh85010095</subfield></datafield><datafield tag="650" ind1=" " ind2="6"><subfield code="a">Données volumineuses.</subfield></datafield><datafield tag="650" ind1=" " ind2="6"><subfield code="a">Exploration de données (Informatique)</subfield></datafield><datafield tag="650" ind1=" " ind2="6"><subfield code="a">Collecte automatique des données.</subfield></datafield><datafield tag="650" ind1=" " ind2="7"><subfield code="a">COMPUTERS</subfield><subfield code="x">Databases</subfield><subfield code="x">Data Mining.</subfield><subfield code="2">bisacsh</subfield></datafield><datafield tag="650" ind1=" " ind2="7"><subfield code="a">Automatic data collection systems</subfield><subfield code="2">fast</subfield></datafield><datafield tag="650" ind1=" " ind2="7"><subfield code="a">Big data</subfield><subfield code="2">fast</subfield></datafield><datafield tag="650" ind1=" " ind2="7"><subfield code="a">Data mining</subfield><subfield code="2">fast</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Miller, James D.,</subfield><subfield code="e">author.</subfield><subfield code="0">http://id.loc.gov/authorities/names/n96060135</subfield></datafield><datafield tag="758" ind1=" " ind2=" "><subfield code="i">has work:</subfield><subfield code="a">Implementing Splunk (Text)</subfield><subfield code="1">https://id.oclc.org/worldcat/entity/E39PCFF9MQBpvQcxpFRctWKhMd</subfield><subfield code="4">https://id.oclc.org/worldcat/ontology/hasWork</subfield></datafield><datafield tag="776" ind1="0" ind2="8"><subfield code="i">Print version:</subfield><subfield code="a">Bumgarner, Vincent.</subfield><subfield code="t">Implementing Splunk.</subfield><subfield code="d">Birmingham : Packt Publishing, ©2015</subfield><subfield code="z">9781784391607</subfield></datafield><datafield tag="830" ind1=" " ind2="0"><subfield code="a">Professional expertise distilled.</subfield></datafield><datafield tag="856" ind1="4" ind2="0"><subfield code="l">FWS01</subfield><subfield code="p">ZDB-4-EBA</subfield><subfield code="q">FWS_PDA_EBA</subfield><subfield code="u">https://search.ebscohost.com/login.aspx?direct=true&scope=site&db=nlebk&AN=1045701</subfield><subfield code="3">Volltext</subfield></datafield><datafield tag="938" ind1=" " ind2=" "><subfield code="a">EBL - Ebook Library</subfield><subfield code="b">EBLB</subfield><subfield code="n">EBL2120242</subfield></datafield><datafield tag="938" ind1=" " ind2=" "><subfield code="a">EBSCOhost</subfield><subfield code="b">EBSC</subfield><subfield code="n">1045701</subfield></datafield><datafield tag="938" ind1=" " ind2=" "><subfield code="a">ProQuest MyiLibrary Digital eBook Collection</subfield><subfield code="b">IDEB</subfield><subfield code="n">cis32249882</subfield></datafield><datafield tag="938" ind1=" " ind2=" "><subfield code="a">YBP Library Services</subfield><subfield code="b">YANK</subfield><subfield code="n">12548033</subfield></datafield><datafield tag="994" ind1=" " ind2=" "><subfield code="a">92</subfield><subfield code="b">GEBAY</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">ZDB-4-EBA</subfield></datafield><datafield tag="049" ind1=" " ind2=" "><subfield code="a">DE-863</subfield></datafield></record></collection> |
| id | ZDB-4-EBA-ocn918863968 |
| illustrated | Illustrated |
| indexdate | 2024-11-27T13:26:45Z |
| institution | BVB |
| isbn | 9781784399306 1784399302 1784391603 9781784391607 |
| language | English |
| oclc_num | 918863968 |
| open_access_boolean | |
| owner | MAIN DE-863 DE-BY-FWS |
| owner_facet | MAIN DE-863 DE-BY-FWS |
| physical | 1 online resource (1 volume) : illustrations |
| psigel | ZDB-4-EBA |
| publishDate | 2015 |
| publishDateSearch | 2015 |
| publishDateSort | 2015 |
| publisher | Packt Publishing, |
| record_format | marc |
| series | Professional expertise distilled. |
| series2 | Professional expertise distilled |
| spelling | Bumgarner, Vincent, author. http://id.loc.gov/authorities/names/no2016008164 Implementing Splunk : a comprehensive guide to help you transform big data into valuable business insights with Splunk 6.2 / Vincent Bumgarner, James D. Miller. Comprehensive guide to help you transform big data into valuable business insights with Splunk 6.2 Second edition. Birmingham, UK : Packt Publishing, 2015. 1 online resource (1 volume) : illustrations text txt rdacontent computer c rdamedia online resource cr rdacarrier text file Professional expertise distilled Online resource; title from cover (Safari, viewed August 13, 2015). Includes index. Cover; Copyright; Credits; About the Authors; About the Reviewers; www.PacktPub.com; Table of Contents; Preface; Chapter 1: The Splunk Interface; Logging into 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; The events viewer; Using the time picker; Using the field picker; The settings section; Summary; Chapter 2: Understanding Search; Using search terms effectively; Boolean and grouping operators; Clicking to modify your search; Event segmentation; Field widgets; Time. Using fields to searchUsing 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; Date range; Date and time range; Advanced; Specifying time in-line in your search; _indextime versus _time; Making searches faster; Sharing results with others; The URL; Save as report; Save as dashboard panel; Save as alert; Save as event type; Search job settings. Saving searches for reuseCreating alerts from searches; Enable actions; Action options; Sharing; 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 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 fieldsSummary; Chapter 4: Data Models and Pivots; What is a data model?; What does a data model search?; Data model objects; Object constraining; Attributes; Creating a data model; Filling in the new data model dialog; Editing attributes; Lookup attributes; Children; What is a pivot?; The pivot editor; Working with pivot elements; Filtering your 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. Adding another panelA cool trick; Converting the panel to a report; More options; Back to the dashboard; Add input; Edit source; Editing 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; Features replaced; Autorun dashboard; Scheduling the generation of dashboards; Summary; Chapter 6: Advanced Search Examples; Using subsearches to find loosely related events; Subsearch; Subsearch caveats; Nested subsearches; Using transaction. If you are a data analyst with basic knowledge of Big Data analysis but no knowledge of Splunk, then this book will help you get started with Splunk. The book assumes that you have access to a copy of Splunk, ideally not in production, and many examples also assume you have administrator rights. English. Big data. http://id.loc.gov/authorities/subjects/sh2012003227 Data mining. http://id.loc.gov/authorities/subjects/sh97002073 Automatic data collection systems. http://id.loc.gov/authorities/subjects/sh85010095 Données volumineuses. Exploration de données (Informatique) Collecte automatique des données. COMPUTERS Databases Data Mining. bisacsh Automatic data collection systems fast Big data fast Data mining fast Miller, James D., author. http://id.loc.gov/authorities/names/n96060135 has work: Implementing Splunk (Text) https://id.oclc.org/worldcat/entity/E39PCFF9MQBpvQcxpFRctWKhMd https://id.oclc.org/worldcat/ontology/hasWork Print version: Bumgarner, Vincent. Implementing Splunk. Birmingham : Packt Publishing, ©2015 9781784391607 Professional expertise distilled. FWS01 ZDB-4-EBA FWS_PDA_EBA https://search.ebscohost.com/login.aspx?direct=true&scope=site&db=nlebk&AN=1045701 Volltext |
| spellingShingle | Bumgarner, Vincent Miller, James D. Implementing Splunk : a comprehensive guide to help you transform big data into valuable business insights with Splunk 6.2 / Professional expertise distilled. Cover; Copyright; Credits; About the Authors; About the Reviewers; www.PacktPub.com; Table of Contents; Preface; Chapter 1: The Splunk Interface; Logging into 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; The events viewer; Using the time picker; Using the field picker; The settings section; Summary; Chapter 2: Understanding Search; Using search terms effectively; Boolean and grouping operators; Clicking to modify your search; Event segmentation; Field widgets; Time. Using fields to searchUsing 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; Date range; Date and time range; Advanced; Specifying time in-line in your search; _indextime versus _time; Making searches faster; Sharing results with others; The URL; Save as report; Save as dashboard panel; Save as alert; Save as event type; Search job settings. Saving searches for reuseCreating alerts from searches; Enable actions; Action options; Sharing; 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 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 fieldsSummary; Chapter 4: Data Models and Pivots; What is a data model?; What does a data model search?; Data model objects; Object constraining; Attributes; Creating a data model; Filling in the new data model dialog; Editing attributes; Lookup attributes; Children; What is a pivot?; The pivot editor; Working with pivot elements; Filtering your 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. Adding another panelA cool trick; Converting the panel to a report; More options; Back to the dashboard; Add input; Edit source; Editing 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; Features replaced; Autorun dashboard; Scheduling the generation of dashboards; Summary; Chapter 6: Advanced Search Examples; Using subsearches to find loosely related events; Subsearch; Subsearch caveats; Nested subsearches; Using transaction. Big data. http://id.loc.gov/authorities/subjects/sh2012003227 Data mining. http://id.loc.gov/authorities/subjects/sh97002073 Automatic data collection systems. http://id.loc.gov/authorities/subjects/sh85010095 Données volumineuses. Exploration de données (Informatique) Collecte automatique des données. COMPUTERS Databases Data Mining. bisacsh Automatic data collection systems fast Big data fast Data mining fast |
| subject_GND | http://id.loc.gov/authorities/subjects/sh2012003227 http://id.loc.gov/authorities/subjects/sh97002073 http://id.loc.gov/authorities/subjects/sh85010095 |
| title | Implementing Splunk : a comprehensive guide to help you transform big data into valuable business insights with Splunk 6.2 / |
| title_alt | Comprehensive guide to help you transform big data into valuable business insights with Splunk 6.2 |
| title_auth | Implementing Splunk : a comprehensive guide to help you transform big data into valuable business insights with Splunk 6.2 / |
| title_exact_search | Implementing Splunk : a comprehensive guide to help you transform big data into valuable business insights with Splunk 6.2 / |
| title_full | Implementing Splunk : a comprehensive guide to help you transform big data into valuable business insights with Splunk 6.2 / Vincent Bumgarner, James D. Miller. |
| title_fullStr | Implementing Splunk : a comprehensive guide to help you transform big data into valuable business insights with Splunk 6.2 / Vincent Bumgarner, James D. Miller. |
| title_full_unstemmed | Implementing Splunk : a comprehensive guide to help you transform big data into valuable business insights with Splunk 6.2 / Vincent Bumgarner, James D. Miller. |
| title_short | Implementing Splunk : |
| title_sort | implementing splunk a comprehensive guide to help you transform big data into valuable business insights with splunk 6 2 |
| title_sub | a comprehensive guide to help you transform big data into valuable business insights with Splunk 6.2 / |
| topic | Big data. http://id.loc.gov/authorities/subjects/sh2012003227 Data mining. http://id.loc.gov/authorities/subjects/sh97002073 Automatic data collection systems. http://id.loc.gov/authorities/subjects/sh85010095 Données volumineuses. Exploration de données (Informatique) Collecte automatique des données. COMPUTERS Databases Data Mining. bisacsh Automatic data collection systems fast Big data fast Data mining fast |
| topic_facet | Big data. Data mining. Automatic data collection systems. Données volumineuses. Exploration de données (Informatique) Collecte automatique des données. COMPUTERS Databases Data Mining. Automatic data collection systems Big data Data mining |
| url | https://search.ebscohost.com/login.aspx?direct=true&scope=site&db=nlebk&AN=1045701 |
| work_keys_str_mv | AT bumgarnervincent implementingsplunkacomprehensiveguidetohelpyoutransformbigdataintovaluablebusinessinsightswithsplunk62 AT millerjamesd implementingsplunkacomprehensiveguidetohelpyoutransformbigdataintovaluablebusinessinsightswithsplunk62 AT bumgarnervincent comprehensiveguidetohelpyoutransformbigdataintovaluablebusinessinsightswithsplunk62 AT millerjamesd comprehensiveguidetohelpyoutransformbigdataintovaluablebusinessinsightswithsplunk62 |