Implementing Splunk 7, Third Edition: Effective operational intelligence to transform machine-generated data into valuable business insight, Edition 3

Name: Implementing Splunk 7, Third Edition: Effective operational intelligence to transform machine-generated data into valuable business insight, Edition 3
Rating: 1 (1 reviews)

James D. Miller

Mar 2018 · Packt Publishing Ltd

1 review

Ebook

576

Pages

Tools

About this ebook

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 insights
Perform search operations and configurations, build dashboards, and manage logs
Extend 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-generated big data. We introduce you to all the new features, improvements, and offerings of Splunk 7. We cover the new modules of Splunk: Splunk Cloud and the Machine Learning Toolkit to ease data usage. Furthermore, you will learn to use search terms effectively with Boolean and grouping operators. You will learn not only how to modify your search to make your searches fast but also how to use wildcards efficiently. Later you will learn how to use stats to aggregate values, a chart to turn data, and a time chart to show values over time; you'll also work with fields and chart enhancements and learn how to create a data model with faster data model acceleration. Once this is done, you will learn about XML Dashboards, working with apps, building advanced dashboards, configuring and extending Splunk, advanced deployments, and more. Finally, we teach you how to use the Machine Learning Toolkit and best practices and tips to help you implement Splunk services effectively and efficiently. By the end of this book, you will have learned about the Splunk software as a whole and implemented Splunk services in your tasks at projectsWhat you will learn

Focus on the new features of the latest version of Splunk Enterprise 7
Master the new offerings in Splunk: Splunk Cloud and the Machine Learning Toolkit
Create efficient and effective searches within the organization
Master the use of Splunk tables, charts, and graph enhancements
Use Splunk data models and pivots with faster data model acceleration
Master all aspects of Splunk XML dashboards with hands-on
applications
Create and deploy advanced Splunk dashboards to share valuable business insights with peers

Who this book is for

This book is intended for data analysts, business analysts, and IT administrators who want to make the best use of big data, operational intelligence, log management, and monitoring within their organization. Some knowledge of Splunk services will help you get the most out of the book

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 insights Perform search operations and configurations, build dashboards, and manage logs Extend Splunk serv...

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Ratings and reviews

1 review

About the author

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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