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Splunk Fundamentals: Level 2

Elevate your Splunk skills with our Level 2 course, designed to deepen your understanding of data capture, indexing, and visualization techniques. Explore advanced querying, analytics, and machine learning capabilities to unlock deeper insights from your operational data. Ideal for Splunk users ready to take their knowledge to the next level and optimize their data analysis workflows.

  • Intermediate
  • Small class sizes
  • 18 and older
  • $995
  • Earn 10% Rewards
  • Price Lock
  • Online Classroom
  • 13 hours & 30 minutes over 2 sessions

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  • $995/person
  • 13 hours & 30 minutes over 2 sessions
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  • Thu, Feb 06 at 10:00am - 4:45pm
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Class Description

Description

What you'll learn in this it class:

This 2-day, Splunk Fundamentals - Level 2 class picks up after our 2-day Level 1 class to bring you deeper into Splunk features. Features that will help you capture and index data so that you can generate graphs, reports, alerts, dashboards, and visualizations.

Prerequisites

Individuals taking this class should have also completed the Splunk Fundamentals - Level 1 class or have equivalent practical experience using Splunk.


Course Outline

Introduction and review

  • Splunk Enterprise Features
  • Splunk Enterprise Features
  • Search Review
  • The Search pipeline
  • Search modes
  • Search best practices

Getting data into Splunk

  • Data Inputs
  • Indexing files and directories
  • Indexing the Windows Event Logs
  • Getting data through network ports
  • Scripted inputs
  • Configuring a Universal Forwarder
  • Using the HTTP Event Collector (HEC)
  • Getting data from databases using DB Connect
  • Regular Expressions (“rex”,”regex”) in Splunk field extractions
  • Adding structure & meaning to data

Building an Operational Intelligence App

  • Application Architecture
  • App folder structure
  • Creating an app from another app
  • Adding Assets
  • Creating & customizing reports & dashboards
  • Adding geographical maps
  • Highlighting Data by Range
  • Scheduling PDF Delivery

Advanced Querying

  • The search command
  • The where command
  • The eval command
  • The fields command
  • The fillnull command
  • SUM(), AVG(), MIN(), MAX(), COUNT(), etc…
  • The join command
  • The trendline command

Analytics and Machine Learning

  • Linear regression on timeseries
  • The Machine Learning Toolkit
  • Finding anomalies
  • Identifying clusters
  • Detecting outliers
  • Forecasting Time Series

Optimizing Splunk

  • Summary indexing
  • Backfilling a summary index
  • Report Acceleration

Remote Learning

This course is available for "remote" learning and will be available to anyone with access to an internet device with a microphone (this includes most models of computers, tablets). Classes will take place with a "Live" instructor at the date/times listed below.

Upon registration, the instructor will send along additional information about how to log-on and participate in the class.

Refund Policy

Cancellation / Reschedule by Student

Because we must schedule rooms, ship course materials, assign instructors and provision computer resources well in advance, it is important students alert us ASAP with any cancel/reschedule requests.

Please note the following policies:

  • If requested 16 or more calendar days before the class
    • Cancellation requests made in this timeframe are eligible for refund less 5% cancellation fee.
    • Reschedule requests made in this timeframe will be accommodated if availability exists and will be processed at no additional charge.
  • If requested 15 calendar days or less before the class
    • Cancellation or Reschedule requests made by the student 15 calendar days or less before the class starts will be charged 100% the course fee and are not entitled to a refund.

Substitutions

  • If you are unable to attend your class, a substitute who meets the course prerequisites may attend in your place at no additional charge for the original class title, date and location. If you cannot find a substitute, you will be subject to the class cancellation policy.

Make-up Policy

Students are permitted one (1) Make-Up opportunity to attend an instructor-led class that was paid for but not previously attended for no additional charge.

  • Make-Up class registrations are subject to availability and are not entitled to refund.
  • Students may not reschedule a Make-up class registration.
  • Any no shows or cancellations forfeit their one Make-up opportunity.

Additionally, ONLC reserves the right to retire courses due to lack of demand. Retired classes are not available for Make-Up.

In the event that an instructor or the school needs to cancel at the last minute, students will receive a refund less a 5% non-refundable registration fee.

In any event where a customer wants to cancel their enrollment and is eligible for a full refund, a 5% processing fee will be deducted from the refund amount.

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