LEADER 04872nam 2200637 450 001 9910788175703321 005 20200520144314.0 010 $a1-78217-384-6 035 $a(CKB)2670000000587561 035 $a(EBL)1901912 035 $a(SSID)ssj0001435006 035 $a(PQKBManifestationID)11838279 035 $a(PQKBTitleCode)TC0001435006 035 $a(PQKBWorkID)11428253 035 $a(PQKB)10885636 035 $a(Au-PeEL)EBL1901912 035 $a(CaPaEBR)ebr11001680 035 $a(CaONFJC)MIL681961 035 $a(OCoLC)898755512 035 $a(CaSebORM)9781782173830 035 $a(MiAaPQ)EBC1901912 035 $a(PPN)228017505 035 $a(EXLCZ)992670000000587561 100 $a20150114h20142014 uy 0 101 0 $aeng 135 $aurunu||||| 181 $ctxt 182 $cc 183 $acr 200 10$aMastering Splunk $eoptimize your machine-generated data effectively by developing advanced analytics with Splunk /$fJames Miller 205 $a1st edition 210 1$aBirmingham, England :$cPackt Publishing,$d2014. 210 4$dİ2014 215 $a1 online resource (344 p.) 225 0 $aProfessional Expertise Distilled 300 $aIncludes index. 311 $a1-78217-383-8 311 $a1-322-50679-5 327 $aCover; Copyright; Credits; About the Author; About the Reviewers; www.PacktPub.com; Table of Contents; Preface; Chapter 1: The Application of Splunk; The definition of Splunk; Keeping it simple; Universal file handling; Confidentiality and security; The evolution of Splunk; The Splunk approach; Conventional use cases; Investigational searching; Searching with pivot; The event timeline; Monitoring; Alerting; Reporting; Visibility in the operational world; Operational intelligence; A technology-agnostic approach; Decision support - analysis in real time; ETL analytics and preconceptions 327 $aThe complements of SplunkODBC; Splunk - outside the box; Customer Relationship Management; Emerging technologies; Knowledge discovery and data mining; Disaster recovery; Virus protection; The enhancement of structured data; Project management; Firewall applications; Enterprise wireless solutions; Hadoop technologies; Media measurement; Social media; Geographical Information Systems; Mobile Device Management; Splunk in action; Summary; Chapter 2: Advanced Searching; Searching in Splunk; The search dashboard; The new search dashboard; The Splunk search mechanism 327 $aThe Splunk quick reference guide Please assist me, let me go; Basic optimization; Fast, verbose, or smart?; The breakdown of commands; Understanding the difference between sparse and dense; Searching for operators, command formats, and tags; The process flow; Boolean expressions; You can quote me, I'm escaping; Tag me Splunk!; Assigning a search tag; Tagging field-value pairs; Wild tags!; Disabling and deleting tags; Transactional searching; Knowledge management; Some working examples; Subsearching; Output settings for subsearches; Search Job Inspector; Searching with parameters 327 $aThe eval statement A simple example; Splunk macros; Creating your own macro; Using your macros; The limitations of Splunk; Search results; Some basic Splunk search examples; Additional formatting; Summary; Chapter 3: Mastering Tables, Charts, and Fields; Tables, charts, and fields; Splunking into tables; The table command; The Splunk rename command; Limits; Fields; An example of the fields command; Returning search results as charts; The chart command; The split-by fields; The where clause; More visualization examples; Some additional functions; Splunk bucketing 327 $aReporting using the time chart command Arguments required by the time chart command; Bucket time spans versus per_* functions; Drilldowns; The drilldown options; The basic drilldown functionality; Row drilldowns; Cell drilldowns; Chart drilldowns; Legends; Pivot; The pivot editor; Working with pivot elements; Filtering your pivots; Split; Column values; Pivot table formatting; A quick example; Sparklines; Summary; Chapter 4: Lookups; Introduction; Configuring a simple field lookup; Defining lookups in Splunk Web; Automatic lookups; The Add new page; Configuration files 327 $aImplementing a lookup using configuration files - an example 330 $aThis book is for those Splunk developers who want to learn advanced strategies to deal with big data from an enterprise architectural perspective. You need to have good working knowledge of Splunk. 606 $aData mining$xComputer programs 615 0$aData mining$xComputer programs. 676 $a006.754 700 $aMiller$b James$0525914 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910788175703321 996 $aMastering Splunk$93869060 997 $aUNINA