Book Image

Data Analytics Using Splunk 9.x

By : Dr. Nadine Shillingford
5 (1)
Book Image

Data Analytics Using Splunk 9.x

5 (1)
By: Dr. Nadine Shillingford

Overview of this book

Splunk 9 improves on the existing Splunk tool to include important features such as federated search, observability, performance improvements, and dashboarding. This book helps you to make the best use of the impressive and new features to prepare a Splunk installation that can be employed in the data analysis process. Starting with an introduction to the different Splunk components, such as indexers, search heads, and forwarders, this Splunk book takes you through the step-by-step installation and configuration instructions for basic Splunk components using Amazon Web Services (AWS) instances. You’ll import the BOTS v1 dataset into a search head and begin exploring data using the Splunk Search Processing Language (SPL), covering various types of Splunk commands, lookups, and macros. After that, you’ll create tables, charts, and dashboards using Splunk’s new Dashboard Studio, and then advance to work with clustering, container management, data models, federated search, bucket merging, and more. By the end of the book, you’ll not only have learned everything about the latest features of Splunk 9 but also have a solid understanding of the performance tuning techniques in the latest version.
Table of Contents (18 chapters)
1
Part 1: Getting Started with Splunk
5
Part 2: Visualizing Data with Splunk
10
Part 3: Advanced Topics in Splunk

Summary

In this chapter, we covered six categories of Splunk search commands. We learned that the streaming commands such as the implicit search command and rename are executed on the results of a search. We found out that generating commands such as makeresults, tstats, and inputlookup generate data during a search. For example, the tstats command generates data from indexed fields stored in tsidx files. Transforming commands such as table, stats, and chart change the output of a search. We looked at how we can alter the functions and syntax of some of the commands to change the way the data is displayed. We also learned that orchestrating commands such as lookup supplement fields into the search results. Dataset processing commands such as dedup, join, and sort require the complete search results before they can be executed. The join command combines search results with the results of a subsearch. We also learned how we can enhance Splunk events with lookups by creating lookup tables...