Practical Splunk Search Processing Language: A Guide for Mastering SPL Commands for Maximum Efficiency and Outcome (Record no. 49818)

MARC details
000 -LEADER
fixed length control field 01753 a2200169 4500
005 - DATE AND TIME OF LATEST TRANSACTION
control field 20250320091511.0
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
International Standard Book Number 9781484285534
082 ## - DEWEY DECIMAL CLASSIFICATION NUMBER
Classification number 006.35 SUB
100 ## - MAIN ENTRY--PERSONAL NAME
Personal name Subramanian, Karun
245 ## - TITLE STATEMENT
Title Practical Splunk Search Processing Language: A Guide for Mastering SPL Commands for Maximum Efficiency and Outcome
260 ## - PUBLICATION, DISTRIBUTION, ETC. (IMPRINT)
Name of publisher, distributor, etc Apress
Date of publication, distribution, etc 2020
Place of publication, distribution, etc New York
300 ## - PHYSICAL DESCRIPTION
Extent 268
520 ## - SUMMARY, ETC.
Summary, etc Use this practical guide to the Splunk operational data intelligence platform to search, visualize, and analyze petabyte-scale, unstructured machine data. Get to the heart of the platform and use the Search Processing Language (SPL) tool to query the platform to find the answers you need.<br/><br/>With more than 140 commands, SPL gives you the power to ask any question of machine data. However, many users (both newbies and experienced users) find the language difficult to grasp and complex. This book takes you through the basics of SPL using plenty of hands-on examples and emphasizes the most impactful SPL commands (such as eval, stats, and timechart). You will understand the most efficient ways to query Splunk (such as learning the drawbacks of subsearches and join, and why it makes sense to use tstats). You will be introduced to lesser-known commands that can be very useful, such as using the command rex to extract fieldsand erex to generate regular expressions automatically.<br/><br/>In addition, you will learn how to create basic visualizations (such as charts and tables) and use prescriptive guidance on search optimization. For those ready to take it to the next level, the author introduces advanced commands such as predict, kmeans, and cluster.
650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Splunk
650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Natural language processing (Computer science)
942 ## - ADDED ENTRY ELEMENTS (KOHA)
Koha item type Book
Source of classification or shelving scheme Dewey Decimal Classification

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