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Mastering Splunk

You're reading from Mastering Splunk Optimize your machine-generated data effectively by developing advanced analytics with Splunk

Product type Paperback

Published in Dec 2014

Publisher

ISBN-13 9781782173830

Length 344 pages

Edition 1st Edition

Languages

Java

Tools

Splunk

Concepts

Data Processing

Author (1):

James D. Miller

View More author details

Table of Contents (13) Chapters

Preface

1. The Application of Splunk FREE CHAPTER

2. Advanced Searching

3. Mastering Tables, Charts, and Fields

4. Lookups

5. Progressive Dashboards

6. Indexes and Indexing

7. Evolving your Apps

8. Monitoring and Alerting

9. Transactional Splunk

10. Splunk – Meet the Enterprise

A. Quick Start

Index

Summary

In this chapter, we talked about some advanced topics for Splunk applications and add-ons such as adding icons and setup screens, navigation, searching, and sharing. Sources were given for finding additional application examples as well.

In the next chapter, we will explain and apply the monitoring and alerting capabilities of the Splunk technology from a desktop to enterprise level and compare Splunk with other monitoring tools.

The rest of the chapter is locked

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Authors (1)

James D. Miller

James D. Miller

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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