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Yogesh Raheja

Implementing Splunk 7 - Third Edition

Effective operational intelligence to transform machine-generated data into valuable business insight

Buch

A comprehensive guide to making machine data accessible across the organization using advanced dashboards Key Features Enrich machine-generated data and transform it into useful, meaningful insightsPerform search operations and configurations, build dashboards, and manage logsExtend Splunk services with scripts and advanced configurations to process optimal results Book DescriptionSplunk is the leading platform that fosters an efficient methodology and delivers ways to search, monitor, and analyze growing amounts of big data. This book will allow you to implement new services and utilize them to quickly and efficiently process machine-genera… Mehr

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Produktdetails


Weitere Autoren: D. Miller, James
  • ISBN: 978-1-78883-628-9
  • EAN: 9781788836289
  • Produktnummer: 37606707
  • Verlag: Packt Publishing
  • Sprache: Englisch
  • Erscheinungsjahr: 2018
  • Seitenangabe: 576 S.
  • Masse: H23.5 cm x B19.1 cm x D3.0 cm 1'061 g
  • Abbildungen: Paperback
  • Gewicht: 1061

Über den Autor


James D. Miller is an IBM certified expert, Master Consultant, Application/System Architect with +35 years of applications & system design/development experience across multiple platforms, technologies and data formats, including Big Data. His experience includes IBM Planning Analytics, BI, Web architecture & design, systems analysis, GUI design & testing, Data modeling, design, and development of OLAP, Client/Server, Web & Mainframe applications and systems utilizing: Planning Analytics Workspace (PAW), IBM Watson Analytics, Cognos BI & TM1, Framework Manager, dynaSight/ArcPlan, ASP, DHTML, XML, MS Visual Basic, VBA, PERL, R, SPLUNK, MS SQL Server, ORACLE, etc. He has authored numerous books, including Implementing Splunk - Second Edition; Mastering Splunk; Hands-On Machine Learning with IBM Watson; IBM Watson Projects; Statistics for Data Science; Mastering Predictive Analytics with R - Second Edition and others. Project areas include those with Data Analytics, Planning Analytics, and FOPM projects, holding various roles from architect, developer, technical and project leader.

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