SPLK-SEDA - Splunk Enterprise Data Administration

This 18-hour course is designed for administrators who are responsible for getting data into Splunk Indexers. The course provides the fundamental knowledge of Splunk forwarders and methods to get remote data into Splunk indexers. It covers the installation, configuration, management, monitoring, and troubleshooting of Splunk forwarders and Splunk Deployment Server components.

INR 48000 + tax

Date : 15 May 2024

Code: splk-seda

Duration: 3.0 days

other dates

Schedule

Virtual ILT | 15 May 2024 - 17 May 2024
Virtual ILT | 29 May 2024 - 31 May 2024
Virtual ILT | 12 Jun 2024 - 14 Jun 2024
Virtual ILT | 26 Jun 2024 - 28 Jun 2024
Virtual ILT | 09 Jul 2024 - 11 Jul 2024
Virtual ILT | 23 Jul 2024 - 25 Jul 2024
Virtual ILT | 12 Aug 2024 - 14 Aug 2024
Virtual ILT | 26 Aug 2024 - 28 Aug 2024

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Objectives

  • Understand source types
  • Manage and deploy forwarders
  • Configure data inputs
  • File monitors
  • Network inputs (TCP/UDP)
  • Scripted inputs
  • HTTP inputs (via the HTTP Event Collector)
  • Customize the input phase parsing process
  • Define transformations to modify data before indexing
  • Define search time knowledge object configurations

Content

Module 1 – Getting Data Into Splunk

  • Provide an overview of Splunk
  • Describe the Splunk distributed model
  • Describe data input types and metadata settings
  • Configure initial input testing with Splunk Web
  • Testing Indexes with input staging

Module 2 –Config Files and Apps

  • Identify Splunk configuration files and directories
  • Describe index-time and search-time precedence
  • Validate and update configuration files
  • Explore Splunk apps and app installation

Module 3 – Configuring Forwarders

  • Configure Universal Forwarders
  • Configure Heavy Forwarders

Module 4 – Customizing Forwarders

  • Configure intermediate forwarders
  • Identify additional forwarder options

Module 5 – Managing Forwarders

  • Describe Splunk Deployment Server (DS)
  • Manage forwarders using deployment apps
  • Configure deployment clients and client groups
  • Monitor forwarder management activities

Module 6 – Monitor Inputs

  • Create file and directory monitor inputs
  • Use optional settings for monitor inputs
  • Deploy a remote monitor input

Module 7 – Network Inputs

  • Create network (TCP and UDP) inputs
  • Describe optional settings for network inputs

Module 8 – Scripted Inputs

  • Create a basic scripted input

Module 9 – Agentless Inputs

  • Configure Splunk HTTP Event Collector (HEC) agentless input
  • Describe Splunk App for Stream

Module 10 – Operating System Inputs

  • Identify Linux-specific inputs
  • Identify Windows-specific inputs

Module 11 – Fine-tuning Inputs

  • Understand the default processing that occurs during the input phase
  • Configure input phase options, such as source type fine-tuning and character set encoding.

Module 12 – Parsing Phase and Data Preview

  • Understand the default processing that occurs during parsing
  • Optimize and configure event line breaking
  • Explain how timestamps and time zones are extracted or assigned to events
  • Use Data Preview to validate event creation during the parsing phase

Module 13 – Manipulating Input Data

  • Explore Splunk transformation methods
  • Create rulesets with Ingest Actions
  • Mask data with Ingest Action rules
  • Mask data with SEDCMD and TRANSFORMS
  • Override source type or host-based upon event values

Module 14 – Routing Input Data

  • Filter data with Ingest Action rules
  • Route data with Ingest Action rules
  • Route data with TRANSFORMS

Module 15 – Supporting Knowledge Objects

  • Define default and custom search time field extractions
  • Identify the pros and cons of indexed time field extractions
  • Configure indexed field extractions
  • Describe default search time extractions
  • Manage orphaned knowledge objects

Audience

  • Splunk Administrator
  • Developer
  • User
  • Knowledge Manager
  • Architect

Prerequisites

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

  • What is Splunk?
  • Intro to Splunk
  • Using Fields
  • Introduction to Knowledge Objects
  • Creating Knowledge Objects
  • Creating Field Extractions

Or the following courses:

  • Fundamentals 1
  • Fundamentals 2 (recommended)

Students should also understand the following courses:

  • Splunk Enterprise System Administration (recommended)

Certification

product-certification

Course Benefits

product-benefits
  • Career growth
  • Broad Career opportunities
  • Worldwide recognition from leaders
  • Up-to Date technical skills
  • Popular Certification Badges

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