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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 defined Splunk transactions and transaction types along with concurrent events. In addition, we covered different methods for grouping and configuring events into transactions.

In the next chapter, we will introduce the idea of best practices for Splunk development and provide some guidelines and working examples.

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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