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Splunk Operational Intelligence Cookbook. - Third Edition

You're reading from  Splunk Operational Intelligence Cookbook. - Third Edition

Product type Book
Published in May 2018
Publisher
ISBN-13 9781788835237
Pages 541 pages
Edition 3rd Edition
Languages
Authors (4):
Yogesh Raheja Yogesh Raheja
Profile icon Yogesh Raheja
Josh Diakun Josh Diakun
Profile icon Josh Diakun
Paul R. Johnson Paul R. Johnson
Profile icon Paul R. Johnson
Derek Mock Derek Mock
Profile icon Derek Mock
View More author details

Table of Contents (12) Chapters

Preface Play Time – Getting Data In Diving into Data – Search and Report Dashboards and Visualizations - Make Data Shine Building an Operational Intelligence Application Extending Intelligence – Datasets, Modeling and Pivoting Diving Deeper – Advanced Searching, Machine Learning and Predictive Analytics Enriching Data – Lookups and Workflows Being Proactive – Creating Alerts Speeding Up Intelligence – Data Summarization Above and Beyond – Customization, Web Framework, HTTP Event Collector, REST API, and SDKs Other Books You May Enjoy

Introduction

In many of the previous chapters, we leveraged Splunk's Search Processing Language (SPL) quite a bit to build searches, reports, and dashboards. In this chapter, we will learn about datasets and will focus on leveraging Splunk's Data Model and Pivot functionality. We will demonstrate how datasets can be leveraged by less technical users to easily build reports, charts, and dashboards.

A dataset in Splunk is best described as a collection of user-defined data that can be leveraged for a specific purpose. Datasets can be viewed and managed from the Datasets Listing page, available from the default menu bar in any Splunk application. There are currently three types of dataset in Splunk:

  • Lookup Datasets
  • Table Datasets
  • Data Model Datasets

These three types of dataset can be visualized using Splunk's Pivot tool and allow users to create dynamic reports...

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