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Splunk Operational Intelligence Cookbook

You're reading from   Splunk Operational Intelligence Cookbook Over 80 recipes for transforming your data into business-critical insights using Splunk

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Product type Paperback
Published in May 2018
Publisher
ISBN-13 9781788835237
Length 541 pages
Edition 3rd Edition
Languages
Tools
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Authors (4):
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Yogesh Raheja Yogesh Raheja
Author Profile Icon Yogesh Raheja
Yogesh Raheja
Josh Diakun Josh Diakun
Author Profile Icon Josh Diakun
Josh Diakun
Derek Mock Derek Mock
Author Profile Icon Derek Mock
Derek Mock
Paul R. Johnson Paul R. Johnson
Author Profile Icon Paul R. Johnson
Paul R. Johnson
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Toc

Table of Contents (12) Chapters Close

Preface 1. Play Time – Getting Data In 2. Diving into Data – Search and Report FREE CHAPTER 3. Dashboards and Visualizations - Make Data Shine 4. Building an Operational Intelligence Application 5. Extending Intelligence – Datasets, Modeling and Pivoting 6. Diving Deeper – Advanced Searching, Machine Learning and Predictive Analytics 7. Enriching Data – Lookups and Workflows 8. Being Proactive – Creating Alerts 9. Speeding Up Intelligence – Data Summarization 10. Above and Beyond – Customization, Web Framework, HTTP Event Collector, REST API, and SDKs 11. Other Books You May Enjoy

Creating a data model for application logs

This recipe is similar to the first one, except this time you will create a data model for application logs. You will be using Splunk's Data Model Editor to do this and will define several dataset types and add dataset constraints and fields. To save pages, this recipe will be lighter on screenshots than the first recipe. The first recipe should be used as a reference where needed.

Getting ready

To step through this recipe, you will need a running Splunk Enterprise server, with the sample data loaded from Chapter 1, Play Time - Getting Data In. You should have also completed the recipes from the earlier chapters. You should have also completed the first recipe in this chapter...

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