We are happy to advise you!
1­-855­-778­-7246    Contact

Statistical Processing (SSP)

 

Course Content

This three-hour course is for power users who want to identify and use transforming commands and eval functions to calculate statistics on their data. Topics will cover data series types, primary transforming commands, mathematical and statistical eval functions, using eval as a function, and the rename and sort commands.

Certifications

This course is part of the following Certifications:

Prerequisites

To be successful, students should have a solid understanding of the following:

  • How Splunk works
  • Creating search queries

Course Objectives

  • What is a Data Series Report Acceleration
  • Transforming Data
  • Manipulating Data with eval
  • Formatting Data

Outline: Statistical Processing (SSP)

Module 1 - What is a Data Series

  • Introduce data series
  • Explore the difference between single-series, multi-series, and time series data series

Module 2 - Transforming Data

  • Use the chart, timechart, top, rare, and stats commands to transform events into data tables

Module 3 - Manipulating Data with eval Command

  • Understand dthe eval command
  • Explore and perform calculations using mathematical and statistical eval functions
  • Perform calculations and concatenations on field values
  • Use the eval command as a function with the stats command

Module 4 - Formatting Data

  • Use the rename command
  • Use the sort command
Online Training

Duration 3 hours

Price
  • US$ 500
Classroom Training

Duration 3 hours

Price
  • United States: US$ 500
 
Click on town name or "Online Training" to book Schedule
This is an Instructor-Led Classroom course
Instructor-led Online Training:   This is an Instructor-Led Online (ILO) course. These sessions are conducted via WebEx in a VoIP environment and require an Internet Connection and headset with microphone connected to your computer or laptop.
  *   This class is delivered by a partner.
United States
Online Training 09:00 US/Pacific * Enroll
Online Training 09:00 US/Eastern * Enroll
Online Training 14:00 US/Eastern * Enroll
Online Training 09:00 US/Pacific * Enroll