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Splunk Online Training

  Introduction to Big Data Using Splunk

  • Introduction to Big Data

  1. Why Big Data ?
  2. What are the Basic Principles of Big data ?
  • Introduction to Splunk’s User Interface

  1. Understand the uses of Splunk
  2. Define Splunk Apps
  3. Learn basic navigation in Splunk
  • Searching

  1. Run Basic Searches
  2. Set the time range of a search
  3. Identify the contents of search results
  4. Refine searches
  5. Use the timeline
  6. Work with events
  7. Control a search job
  8. Save search results

LAB:

  1. Run the basic searches
  2. Setting the time range of a search
  3. Using the timeline
  4. Saving search results
  • Using Fields in Searches

  1. Understand fields
  2. Use fields in searches
  3. Use the fields sidebar
  • Creating Reports and Visualization

  1. Save a Search as a Report
  2. Edit Reports
  3. Create Reports that includes visualizations such as Charts and Tables

LAB:

  1. Saving search as a result
  2. Edit the reports
  3. Creating the reports include visualization such as charts and tables
  • Using Pivot

  1. Describe Pivot
  2. Understand the relationship between data models and pivot
  3. Select a data model Object
  4. Create a pivot report
  5. Create an instant pivot from a search

LAB:

  1. Selecting a data model
  2. Creating pivot report
  • Working with Dashboards

  1. Create a dashboard
  2. Add a reports to a dashboards
  3. Add a pivot report to a dashboards
  4. Edit a dashboard

LAB:

  1. Creating dashboard
  2. Adding reports to a dashboard
  3. Editing the dashboard

Search and Reporting

  • Search Fundamentals

  1. Review basic search commands and general search practices
  2. Examine the anatomy of a search
  3. Use the following commands to perform searches
  4. Tables
  5. Rename
  6. Fields
  7. Dedup
  8. Sort

LAB:

  1. Run searches using the fundamental commands
  • Transforming Commands, P1: Deriving statistics

  1. Use the following commands and their functions
  2. Top
  3. Rare
  4. Stats

LAB:

  1. Run searches with transforming commands
  • Transforming Commands, P2: Creating Visualizations

  1. Data structure requirements
  2. Create and format basic charts
  3. Create and format time charts

LAB:

  1. Creating visualizations using transforming commands
  • Transforming commands, P3: Enriching Visualization

Use the following commands and their functions:

  1. Trendline
  2. Iplocation
  3. Geostats
  4. Single values
  5. Addtotals

LAB:

  1. Enriching visualization using using tradeline, iplocation, geostats, geom, addtotals
  • Manipulating and filtering

Use the following commands and their functions:

  1. Eval
  2. Filnul
  3. Search
  4. Where

LAB:

  1. Filtering the results with eval, fillnull, search, where commands
  • Correlating events

  1. Identify transactions
  2. Group events using fields
  3. Group events using fields and time
  4. Search with transactions
  5. Report on transactions
  6. Determine when to use transactions vs stats

Knowledge Objects

  • Introduction

  1. Overview of Buttercup Games Inc.
  2. Lab environment
  • Implementing knowledge objects

  1. Describe the common information model (CIM)
  2. Understand the relationship between CIM and knowledge objects
  3. Define naming conventions
  4. Review permissions
  • Creating Lookups

  1. Describe lookups
  2. Create a lookup file and create a lookup definition
  3. Configure an automatic lookup

LAB:

  1. Creating lookup tables, and adding lookup table with the search command results
  • Creating field aliases and calculated fields

  1. Create and use fields aliases
  2. Create and use calculated fields
  • Creating field extractions

  1. Perform regex field extractions using the field extractor(FX)
  2. Perform delimiter field extractions using FX

LAB:

  1. Making regex field extractions
  • Creating Tags and event Types

  1. Create and use tags
  2. Describe event types and their uses
  3. Create an event type
  • Creating workflow actions

  1. Describe the function of GET, POST and search workflow actions
  2. Create a GET workflow actions
  3. Create a search workflow actions
  • Creating Alerts and Scheduled reports

  1. Describe Alerts
  2. Create Alerts
  3. View fired Alerts
  4. Describe scheduled reports
  5. Configure scheduled reports

LAB:

  1. Creating alerts
  2. View the fired alerts
  3. Difference between scheduled alerts and real time alerts
  • Creating data models

  1. Describe the relationship between data models and pivot
  2. Identify data models attribute
  3. Create a data model
  4. Use a data model in pivot

LAB:

  1. Making data models

Splunk Administration

  • Setting up a Splunk Enterprise Environment

    • Module1-Setting up a Splunk
    • Module2-Licence management
    • Module3-Splunk apps
    • Module4-Splunk configuration files
    • Module5-splunk index management
    • Module6-Users, roles and authentication

LAB:

  1. Creating different roles and users
  2. Installing different apps into splunk windows, linux
  • Building a Basic production environment

    • Module7-Universal forwarder
    • Forwarder management

LAB:

  1. Installing universal and getting data into splunk indexer through universal forwarder
  • Splunk inputs

    • Module9-Getting data in
    • Module10-Monitor inputs
    • Module11-Network and Scripted inputs
    • Module12-Windows and agentless inouts
    • Module13-Fine-tuning inputs

LAB:

  1. Getting data indexer through universal forwarder by making configuration changes
  • Parsing and searching

    • Module14-Parsing phase and data preview
    • Module15-Manupulating raw data
    • Module16-Supporting Knowledge objects
    • Module17-Distributed search
  • Splunk Resource management

    • Module18-Basic performance tuning
    • Module19-Problem isolation overview
    • Module20-Introduction to large scale deployment

Splunk Cluster Administration

  • Large scale Splunk Deployment overview

  1. Growing pain and deployment challenges
  2. License master
  • Single-site Indexer cluster

  1. Splunk index cluster overview
  2. Single-site index cluster configuration

LAB:

  1. Making sight indexer cluster checking data is replicated or not
  • Multisite indexer cluster

  1. Splunk multi-site indexer cluster overview
  2. Multi-site indexer cluster configuration
  3. Multi-site search affinity

LAB:

  1. Making multi-site indexer cluster and check data is replicated between different sites or not
  • Forwarder Management

  1. Index discovery
  • Search head cluster

  1. Splunk search head cluster overview
  2. Search head cluster configuration
  • Cluster management and Administration

  1. Cluster management commands
  2. Deploying configuration bundles apps in cluster
  3. Adding new cluster nodes
  4. Decommissioning a cluster node
  • Distributed management console (DMC)

  1. Distributed management console setup
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