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Implementing Splunk (Update)

Implementing Splunk (Update)

By : VINCENT BUMGARNER, James D. Miller
4.5 (4)
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Implementing Splunk (Update)

Implementing Splunk (Update)

4.5 (4)
By: VINCENT BUMGARNER, James D. Miller

Overview of this book

If you are a data analyst with basic knowledge of Big Data analysis but no knowledge of Splunk, then this book will help you get started with Splunk. The book assumes that you have access to a copy of Splunk, ideally not in production, and many examples also assume you have administrator rights.
Table of Contents (15 chapters)
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14
Index

Preface

Splunk is a powerful tool to collect, store, alert, report, and study machine data. This machine data usually comes from server logs, but it could also be collected from other sources. Splunk is, by far, the most flexible and scalable solution available to tackle the huge problem of making machine data useful.

The goal of the original version of this book was to serve as an organized and curated guide to Splunk 4.3. This version endeavors to preserve that objective, while focusing on the latest version (at the time of writing) of Splunk—6.2.0. In fact, care has been taken to call out the differences between the versions. In addition, new content has been added, covering search acceleration methods, backfilling, data replication, and Hunk.

As the documentation and community resources available to Splunk are vast, finding important pieces of knowledge can be daunting at times. My goal is to present what is needed for the effective implementation of Splunk in as concise and useful a manner as possible.

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