Splunk operational intelligence cookbook :: over 70 practical recipes to gain operational data intelligence with Splunk Enterprise /
Annotation
Gespeichert in:
| 1. Verfasser: | |
|---|---|
| Weitere Verfasser: | , |
| Format: | Elektronisch E-Book |
| Sprache: | English |
| Veröffentlicht: |
Birmingham, UK :
Packt Pub.,
©2014.
|
| Schriftenreihe: | Quick answers to common problems
|
| Schlagworte: | |
| Online-Zugang: | Volltext |
| Zusammenfassung: | Annotation |
| Beschreibung: | "Quick answers to common problems"--Cover Includes index. |
| Beschreibung: | 1 online resource (1 volume) : illustrations |
| ISBN: | 9781849697859 184969785X 1849697841 9781849697842 1322242607 9781322242606 |
Internformat
MARC
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| 100 | 1 | |a Diakun, Josh. | |
| 245 | 1 | 0 | |a Splunk operational intelligence cookbook : |b over 70 practical recipes to gain operational data intelligence with Splunk Enterprise / |c Josh Diakun, Derek Mock, Paul R. Johnson. |
| 260 | |a Birmingham, UK : |b Packt Pub., |c ©2014. | ||
| 300 | |a 1 online resource (1 volume) : |b illustrations | ||
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| 490 | 0 | |a Quick answers to common problems | |
| 588 | 0 | |a Online resource; title from title page (Safari, viewed November 17, 2014). | |
| 500 | |a "Quick answers to common problems"--Cover | ||
| 500 | |a Includes index. | ||
| 520 | 8 | |a Annotation |b This book is intended for users of all levels who are looking to leverage the Splunk Enterprise platform as a valuable operational intelligence tool. The recipes provided in this book will appeal to individuals from all facets of a business IT, Security, Product, Marketing, and many more! | |
| 505 | 0 | |a Cover; Copyright; Credits; About the Authors; About the Reviewers; www.PacktPub.com; Table of Contents; Preface; Chapter 1: Play Time -- Getting Data In; Introduction; Indexing files and directories; Getting data through network ports; Using scripted inputs; Using modular inputs; Using the Universal Forwarder to gather data; Loading the sample data for this book; Defining field extractions; Defining event types and tags; Summary; Chapter 2: Diving into Data -- Search and Report; Introduction; Making raw event data readable; Finding the most accessed web pages; Finding the most used web browsers | |
| 505 | 8 | |a Identifying the top-referring websitesCharting web page response codes; Displaying web page response time statistics; Listing the top viewed products; Charting the application's functional performance; Charting the application's memory usage; Counting the total number of database connections; Summary; Chapter 3: Dashboards and Visualizations -- Make Data Shine; Introduction; Creating an Operational Intelligence dashboard; Using a pie chart to show the most accessed web pages; Displaying the unique number of visitors; Using a gauge to display the number of errors | |
| 505 | 8 | |a Charting the number of method requests by type and hostCreating a timechart of method requests, views, and response times; Using a scatter chart to identify discrete requests by size and response time; Creating an area chart of the application's functional statistics; Using a bar chart to show the average amount spent by category; Creating a line chart of item views and purchases over time; Summary; Chapter 4: Building an Operational Intelligence Application; Introduction; Creating an Operational Intelligence application; Adding dashboards and reports | |
| 505 | 8 | |a Organizing the dashboards more efficientlyDynamically drilling down on activity reports; Creating a form to search web activity; Linking web page activity reports to the form; Displaying a geographical map of visitors; Scheduling the PDF delivery of a dashboard; Summary; Chapter 5: Extending Intelligence -- Data Models and Pivoting; Introduction; Creating a data model for web access logs; Creating a data model for application logs; Accelerating data models; Pivoting total sales transactions; Pivoting purchases by geographic location; Pivoting slowest responding web pages | |
| 505 | 8 | |a Pivot charting top error codesSummary; Chapter 6: Diving Deeper -- Advanced Searching; Introduction; Calculating the average session time on a website; Calculating the average execution time for multi-tier web requests; Displaying the maximum concurrent checkouts; Analyzing the relationship of web requests; Predicting website-traffic volumes; Finding abnormally sized web requests; Identifying potential session spoofing; Summary; Chapter 7: Enriching Data -- Lookups and Workflows; Introduction; Looking up product code descriptions; Flagging suspect IP addresses; Creating a session state table | |
| 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 | 0 | |a Information storage and retrieval systems. |0 http://id.loc.gov/authorities/subjects/sh85066163 | |
| 650 | 6 | |a Données volumineuses. | |
| 650 | 6 | |a Exploration de données (Informatique) | |
| 650 | 6 | |a Collecte automatique des données. | |
| 650 | 6 | |a Systèmes d'information. | |
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| 700 | 1 | |a Johnson, Paul R. | |
| 700 | 1 | |a Mock, Derek. | |
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Datensatz im Suchindex
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| _version_ | 1816882294455009280 |
| adam_text | |
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| author | Diakun, Josh |
| author2 | Johnson, Paul R. Mock, Derek |
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| contents | Cover; Copyright; Credits; About the Authors; About the Reviewers; www.PacktPub.com; Table of Contents; Preface; Chapter 1: Play Time -- Getting Data In; Introduction; Indexing files and directories; Getting data through network ports; Using scripted inputs; Using modular inputs; Using the Universal Forwarder to gather data; Loading the sample data for this book; Defining field extractions; Defining event types and tags; Summary; Chapter 2: Diving into Data -- Search and Report; Introduction; Making raw event data readable; Finding the most accessed web pages; Finding the most used web browsers Identifying the top-referring websitesCharting web page response codes; Displaying web page response time statistics; Listing the top viewed products; Charting the application's functional performance; Charting the application's memory usage; Counting the total number of database connections; Summary; Chapter 3: Dashboards and Visualizations -- Make Data Shine; Introduction; Creating an Operational Intelligence dashboard; Using a pie chart to show the most accessed web pages; Displaying the unique number of visitors; Using a gauge to display the number of errors Charting the number of method requests by type and hostCreating a timechart of method requests, views, and response times; Using a scatter chart to identify discrete requests by size and response time; Creating an area chart of the application's functional statistics; Using a bar chart to show the average amount spent by category; Creating a line chart of item views and purchases over time; Summary; Chapter 4: Building an Operational Intelligence Application; Introduction; Creating an Operational Intelligence application; Adding dashboards and reports Organizing the dashboards more efficientlyDynamically drilling down on activity reports; Creating a form to search web activity; Linking web page activity reports to the form; Displaying a geographical map of visitors; Scheduling the PDF delivery of a dashboard; Summary; Chapter 5: Extending Intelligence -- Data Models and Pivoting; Introduction; Creating a data model for web access logs; Creating a data model for application logs; Accelerating data models; Pivoting total sales transactions; Pivoting purchases by geographic location; Pivoting slowest responding web pages Pivot charting top error codesSummary; Chapter 6: Diving Deeper -- Advanced Searching; Introduction; Calculating the average session time on a website; Calculating the average execution time for multi-tier web requests; Displaying the maximum concurrent checkouts; Analyzing the relationship of web requests; Predicting website-traffic volumes; Finding abnormally sized web requests; Identifying potential session spoofing; Summary; Chapter 7: Enriching Data -- Lookups and Workflows; Introduction; Looking up product code descriptions; Flagging suspect IP addresses; Creating a session state table |
| ctrlnum | (OCoLC)896723267 |
| dewey-full | 006 |
| dewey-hundreds | 000 - Computer science, information, general works |
| dewey-ones | 006 - Special computer methods |
| dewey-raw | 006 |
| dewey-search | 006 |
| dewey-sort | 16 |
| dewey-tens | 000 - Computer science, information, general works |
| discipline | Informatik |
| format | Electronic eBook |
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| illustrated | Illustrated |
| indexdate | 2024-11-27T13:26:20Z |
| institution | BVB |
| isbn | 9781849697859 184969785X 1849697841 9781849697842 1322242607 9781322242606 |
| language | English |
| oclc_num | 896723267 |
| 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 | 2014 |
| publishDateSearch | 2014 |
| publishDateSort | 2014 |
| publisher | Packt Pub., |
| record_format | marc |
| series2 | Quick answers to common problems |
| spelling | Diakun, Josh. Splunk operational intelligence cookbook : over 70 practical recipes to gain operational data intelligence with Splunk Enterprise / Josh Diakun, Derek Mock, Paul R. Johnson. Birmingham, UK : Packt Pub., ©2014. 1 online resource (1 volume) : illustrations text txt rdacontent computer c rdamedia online resource cr rdacarrier text file Quick answers to common problems Online resource; title from title page (Safari, viewed November 17, 2014). "Quick answers to common problems"--Cover Includes index. Annotation This book is intended for users of all levels who are looking to leverage the Splunk Enterprise platform as a valuable operational intelligence tool. The recipes provided in this book will appeal to individuals from all facets of a business IT, Security, Product, Marketing, and many more! Cover; Copyright; Credits; About the Authors; About the Reviewers; www.PacktPub.com; Table of Contents; Preface; Chapter 1: Play Time -- Getting Data In; Introduction; Indexing files and directories; Getting data through network ports; Using scripted inputs; Using modular inputs; Using the Universal Forwarder to gather data; Loading the sample data for this book; Defining field extractions; Defining event types and tags; Summary; Chapter 2: Diving into Data -- Search and Report; Introduction; Making raw event data readable; Finding the most accessed web pages; Finding the most used web browsers Identifying the top-referring websitesCharting web page response codes; Displaying web page response time statistics; Listing the top viewed products; Charting the application's functional performance; Charting the application's memory usage; Counting the total number of database connections; Summary; Chapter 3: Dashboards and Visualizations -- Make Data Shine; Introduction; Creating an Operational Intelligence dashboard; Using a pie chart to show the most accessed web pages; Displaying the unique number of visitors; Using a gauge to display the number of errors Charting the number of method requests by type and hostCreating a timechart of method requests, views, and response times; Using a scatter chart to identify discrete requests by size and response time; Creating an area chart of the application's functional statistics; Using a bar chart to show the average amount spent by category; Creating a line chart of item views and purchases over time; Summary; Chapter 4: Building an Operational Intelligence Application; Introduction; Creating an Operational Intelligence application; Adding dashboards and reports Organizing the dashboards more efficientlyDynamically drilling down on activity reports; Creating a form to search web activity; Linking web page activity reports to the form; Displaying a geographical map of visitors; Scheduling the PDF delivery of a dashboard; Summary; Chapter 5: Extending Intelligence -- Data Models and Pivoting; Introduction; Creating a data model for web access logs; Creating a data model for application logs; Accelerating data models; Pivoting total sales transactions; Pivoting purchases by geographic location; Pivoting slowest responding web pages Pivot charting top error codesSummary; Chapter 6: Diving Deeper -- Advanced Searching; Introduction; Calculating the average session time on a website; Calculating the average execution time for multi-tier web requests; Displaying the maximum concurrent checkouts; Analyzing the relationship of web requests; Predicting website-traffic volumes; Finding abnormally sized web requests; Identifying potential session spoofing; Summary; Chapter 7: Enriching Data -- Lookups and Workflows; Introduction; Looking up product code descriptions; Flagging suspect IP addresses; Creating a session state table 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 Information storage and retrieval systems. http://id.loc.gov/authorities/subjects/sh85066163 Données volumineuses. Exploration de données (Informatique) Collecte automatique des données. Systèmes d'information. information storage. aat information retrieval services. aat COMPUTERS General. bisacsh Automatic data collection systems fast Big data fast Data mining fast Johnson, Paul R. Mock, Derek. 1849697841 1322242607 FWS01 ZDB-4-EBA FWS_PDA_EBA https://search.ebscohost.com/login.aspx?direct=true&scope=site&db=nlebk&AN=883031 Volltext |
| spellingShingle | Diakun, Josh Splunk operational intelligence cookbook : over 70 practical recipes to gain operational data intelligence with Splunk Enterprise / Cover; Copyright; Credits; About the Authors; About the Reviewers; www.PacktPub.com; Table of Contents; Preface; Chapter 1: Play Time -- Getting Data In; Introduction; Indexing files and directories; Getting data through network ports; Using scripted inputs; Using modular inputs; Using the Universal Forwarder to gather data; Loading the sample data for this book; Defining field extractions; Defining event types and tags; Summary; Chapter 2: Diving into Data -- Search and Report; Introduction; Making raw event data readable; Finding the most accessed web pages; Finding the most used web browsers Identifying the top-referring websitesCharting web page response codes; Displaying web page response time statistics; Listing the top viewed products; Charting the application's functional performance; Charting the application's memory usage; Counting the total number of database connections; Summary; Chapter 3: Dashboards and Visualizations -- Make Data Shine; Introduction; Creating an Operational Intelligence dashboard; Using a pie chart to show the most accessed web pages; Displaying the unique number of visitors; Using a gauge to display the number of errors Charting the number of method requests by type and hostCreating a timechart of method requests, views, and response times; Using a scatter chart to identify discrete requests by size and response time; Creating an area chart of the application's functional statistics; Using a bar chart to show the average amount spent by category; Creating a line chart of item views and purchases over time; Summary; Chapter 4: Building an Operational Intelligence Application; Introduction; Creating an Operational Intelligence application; Adding dashboards and reports Organizing the dashboards more efficientlyDynamically drilling down on activity reports; Creating a form to search web activity; Linking web page activity reports to the form; Displaying a geographical map of visitors; Scheduling the PDF delivery of a dashboard; Summary; Chapter 5: Extending Intelligence -- Data Models and Pivoting; Introduction; Creating a data model for web access logs; Creating a data model for application logs; Accelerating data models; Pivoting total sales transactions; Pivoting purchases by geographic location; Pivoting slowest responding web pages Pivot charting top error codesSummary; Chapter 6: Diving Deeper -- Advanced Searching; Introduction; Calculating the average session time on a website; Calculating the average execution time for multi-tier web requests; Displaying the maximum concurrent checkouts; Analyzing the relationship of web requests; Predicting website-traffic volumes; Finding abnormally sized web requests; Identifying potential session spoofing; Summary; Chapter 7: Enriching Data -- Lookups and Workflows; Introduction; Looking up product code descriptions; Flagging suspect IP addresses; Creating a session state table 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 Information storage and retrieval systems. http://id.loc.gov/authorities/subjects/sh85066163 Données volumineuses. Exploration de données (Informatique) Collecte automatique des données. Systèmes d'information. information storage. aat information retrieval services. aat COMPUTERS General. 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 http://id.loc.gov/authorities/subjects/sh85066163 |
| title | Splunk operational intelligence cookbook : over 70 practical recipes to gain operational data intelligence with Splunk Enterprise / |
| title_auth | Splunk operational intelligence cookbook : over 70 practical recipes to gain operational data intelligence with Splunk Enterprise / |
| title_exact_search | Splunk operational intelligence cookbook : over 70 practical recipes to gain operational data intelligence with Splunk Enterprise / |
| title_full | Splunk operational intelligence cookbook : over 70 practical recipes to gain operational data intelligence with Splunk Enterprise / Josh Diakun, Derek Mock, Paul R. Johnson. |
| title_fullStr | Splunk operational intelligence cookbook : over 70 practical recipes to gain operational data intelligence with Splunk Enterprise / Josh Diakun, Derek Mock, Paul R. Johnson. |
| title_full_unstemmed | Splunk operational intelligence cookbook : over 70 practical recipes to gain operational data intelligence with Splunk Enterprise / Josh Diakun, Derek Mock, Paul R. Johnson. |
| title_short | Splunk operational intelligence cookbook : |
| title_sort | splunk operational intelligence cookbook over 70 practical recipes to gain operational data intelligence with splunk enterprise |
| title_sub | over 70 practical recipes to gain operational data intelligence with Splunk Enterprise / |
| 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 Information storage and retrieval systems. http://id.loc.gov/authorities/subjects/sh85066163 Données volumineuses. Exploration de données (Informatique) Collecte automatique des données. Systèmes d'information. information storage. aat information retrieval services. aat COMPUTERS General. bisacsh Automatic data collection systems fast Big data fast Data mining fast |
| topic_facet | Big data. Data mining. Automatic data collection systems. Information storage and retrieval systems. Données volumineuses. Exploration de données (Informatique) Collecte automatique des données. Systèmes d'information. information storage. information retrieval services. COMPUTERS General. Automatic data collection systems Big data Data mining |
| url | https://search.ebscohost.com/login.aspx?direct=true&scope=site&db=nlebk&AN=883031 |
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