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160208s2016 enka o 001 0 eng d |
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|d OCLCO
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019 |
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|a 1259135454
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|z 9781785882371
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|a 9781785883552
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|a 1785883550
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|a 1785882376
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|a 9781785882371
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|a DEBBG
|b BV043968873
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|a (OCoLC)937390359
|z (OCoLC)1259135454
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|a CL0500000714
|b Safari Books Online
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|a QA76.9.B45
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|a UAMI
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|a Smith, Kyle,
|e author.
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|a Splunk developer's guide :
|b learn the a to z of building excellent Splunk applications with the latest techniques using this comprehensive guide /
|c Kyle Smith.
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|a Second edition.
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264 |
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|a Birmingham, UK :
|b Packt Publishing,
|c 2016.
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300 |
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|a 1 online resource (1 volume) :
|b illustrations.
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336 |
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|a text
|b txt
|2 rdacontent
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|a computer
|b c
|2 rdamedia
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|a online resource
|b cr
|2 rdacarrier
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|a text file
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|a Professional expertise distilled
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588 |
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|a Description based on online resource; title from cover page (Safari, viewed February 5, 2016).
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|a Includes index.
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|a Cover ; Copyright; Credits; About the Author; About the Reviewer; www.PacktPub.com; Table of Contents; Preface; Chapter 1: Application Design Fundamentals ; Chapter 2: Creating Applications ; Chapter 3: Enhancing Applications ; Chapter 4: Basic Views and Dashboards ; Chapter 5: The Splunk Web Framework ; Chapter 6: Advanced Integrations and Development ; Chapter 7: Packaging Applications ; Chapter 8: Publishing Applications ; Index; What is a Splunk application?; Designing the App; Installing Apps; Summary; A brief clarification; Methods of creating applications; Basic application structure
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|a Application dataAvailable Splunk knowledge objects; Object permissions; Summary; Workflows; Custom alert actions; Enriched data; Branding your App; Acceleration; Summary; Knowing your data; SimpleXML dashboard; Custom JavaScript, CSS, and Tokens; HTML dashboards; Summary; The HTML dashboard; SplunkJS Stack; Tokenization; Customizing Splunk dashboards using CSS; Customizing Splunk dashboards using JavaScript; Custom D3 visualization; External data and content; Summary; Modular D3 visualization; Modular inputs; The App Key Value Store; Data models; Version control and package managers; Summary
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|a Naming guidelinesPackaging the App; The App packaging checklist; Summary; Self-hosting your App; Splunkbase; Community; Summary; Why applications?; Identifying the use case; Identifying what you want to consume; Identifying what you want to brand; Identifying what you want to display; Splunk Web; The Splunk command line; GUI; CLI; FreeForm; appserver; bin; default; local; lookups; metadata; static; Indexes; Source types; Sources; Macros; Event types; Tags; Saved searches; Dashboards; Lookups; Configurations; The setup screen; Event types; Tags; Macros; Lookups; Common Information Model; Logos
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|a NavigationCSS; JavaScript; Summary indexing; Accelerated reports; Available modules; SimpleXML forms; Search-related modules; View-related modules; Display-related modules; Data; Content; The spec file; Testing modular inputs; Configuring modular inputs; When would you use the KV Store?; Configuring the KV Store; npm; Bower; Gulp; Git; Tying them all together; Dos and don'ts; Certified Applications; Splunk Cloud applications; Answers; dev.splunk.com; Internet Relay Chat; Wiki; User groups; The SplunkTrust; Definitions; Unzipping using the command line; The endpoint; The setup file
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|a SearchManagerSavedSearchManager; PostProcessManager; ChartView; CheckboxView; CheckboxGroupView; DropdownView; EventsViewerView; FooterView; HeaderView; MultiDropdownView; RadioGroupView; SearchBarView; SearchControlsView; SimpleSplunkView; SingleView; MapElement; TableView; TextInputView; TimeRangeView; TimelineView
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|a Learn the A to Z of building excellent Splunk applications with the latest techniques using this comprehensive guide About This Book This is the most up-to-date book on Splunk 6.3 for developers Get ahead of being just a Splunk user and start creating custom Splunk applications as per your needs Your one-stop-solution to Splunk application development Who This Book Is For This book is for those who have some familiarity with Splunk and now want to learn how to develop an efficient Splunk application. Previous experience with Splunk, writing searches, and designing basic dashboards is expected. What You Will Learn Implement a Modular Input and a custom D3 data visualization Create a directory structure and set view permissions Create a search view and a dashboard view using advanced XML modules Enhance your application using eventtypes, tags, and macros Package a Splunk application using best practices Publish a Splunk application to the Splunk community In Detail Splunk provides a platform that allows you to search data stored on a machine, analyze it, and visualize the analyzed data to make informed decisions. The adoption of Splunk in enterprises is huge, and it has a wide range of customers right from Adobe to Dominos. Using the Splunk platform as a user is one thing, but customizing this platform and creating applications specific to your needs takes more than basic knowledge of the platform. This book will dive into developing Splunk applications that cater to your needs of making sense of data and will let you visualize this data with the help of stunning dashboards. This book includes everything on developing a full-fledged Splunk application right from designing to implementing to publishing. We will design the fundamentals to build a Splunk application and then move on to creating one. During the course of the book, we will cover application data, objects, permissions, and more. After this, we will show you how to enhance the application, including branding, workflows, and enriched data. Views, dashboards, and web frameworks are also covered. This book will showcase everything new in the latest version of Splunk including the latest data models, alert actions, XML forms, various dashboard enhancements, and visualization options (with D3). Finally, we take a look at the latest Splunk cloud applications, advanced integrations, and development as per the latest release. Style and approach This book is an easy-to-follow guide with lots of...
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590 |
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|a O'Reilly
|b O'Reilly Online Learning: Academic/Public Library Edition
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650 |
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|a Big data.
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650 |
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|a Data mining.
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650 |
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|a Automatic data collection systems.
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650 |
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|a Data Mining
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650 |
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6 |
|a Données volumineuses.
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650 |
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6 |
|a Exploration de données (Informatique)
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650 |
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6 |
|a Collecte automatique des données.
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650 |
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7 |
|a Automatic data collection systems
|2 fast
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650 |
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7 |
|a Big data
|2 fast
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650 |
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7 |
|a Data mining
|2 fast
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776 |
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|z 1-78588-237-6
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830 |
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0 |
|a Professional expertise distilled.
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856 |
4 |
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|u https://learning.oreilly.com/library/view/~/9781785882371/?ar
|z Texto completo (Requiere registro previo con correo institucional)
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994 |
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|a 92
|b IZTAP
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