Efficient Regular Expressions with applications in Splunk

[LeeAndro]

h264, yuv420p, 1280x720 |ENGLISH, 44100 Hz, 2 Channels | 4h 02mn | 2.39 GB

In this course, you will learn to apply regular expressions to search, filter, extract and mask data efficiently and effectively in Splunk following a workshop format on real data.

Fast regex creation from simple patterns to positive look-aheads
What you'll learn

Create efficient and accurate regex from bner to advanced

Identify patterns in machine data

Create schema-on-the-fly in Splunk

Requirements

Pattern recognition

Description
Regular expressions enable (with good crafting) very efficient and effective parsing of text for patterns. The most important skills for regex lie in pattern recognition, regex technique mastery, and simplicity for "step" minimization. The simpler regex with solid leading anchors tends to be the more efficient. Increased regex understanding enables access to more effective techniques for keeping it simple. Pattern recognition connects regex code to solve the problem.

We will rely on the regex101 website to assist in crafting, verifying and explaining the process. Splunk will be used to showcase practical applications with big data. A test after the main course section will test some of the more basic levels of understanding



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