In this chapter, we learned about some terms that need to be understood about big data, such as what the terms streaming data, data latency, and data sparseness mean. We also covered the types of data that can be brought into Splunk. Then we studied what an index is, made an index for our data, and put in data from our Destinations app. We talked about what fields and events are. And finally, we saw how to extract fields from events and name them so that they can be more useful to us. In the chapters to come, we'll learn more about these important features of Splunk.
Splunk Essentials - Second Edition
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Splunk Essentials - Second Edition
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Overview of this book
Splunk is a search, analysis, and reporting platform for machine data, which has a high adoption on the market. More and more organizations want to adopt Splunk to use their data to make informed decisions.
This book is for anyone who wants to manage data with Splunk. You’ll start with very basics of Splunk— installing Splunk—and then move on to searching machine data with Splunk. You will gather data from different sources, isolate them by indexes, classify them into source types, and tag them with the essential fields. After this, you will learn to create various reports, XML forms, and alerts. You will then continue using the Pivot Model to transform the data models into visualization. You will also explore visualization with D3 in Splunk. Finally you’ll be provided with some real-world best practices in using Splunk.
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Table of Contents (15 chapters)
Splunk Essentials Second Edition
Credits
About the Authors
About the Reviewer
www.PacktPub.com
Preface
Free Chapter
Splunk in Action
Bringing in Data
Search Processing Language
Data Models and Pivot
Data Optimization, Reports, Alerts, and Accelerating Searches
Panes of Glass
Splunk SDK for JavaScript and D3.js
HTTP Event Collector
Customer Reviews