Splunk Platform Management and Data Visualization (Basic to Advanced Dashboard Development)

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Splunk Platform Management and Data Visualization (Basic to Advanced Dashboard Development) Overview

The Splunk Platform Management and Data Visualization (Basic to Advanced Dashboard Development) Training Course is a comprehensive hands-on program designed to equip participants with the skills required to administer, manage, monitor, and visualize data using the Splunk platform. The course covers Splunk architecture, data onboarding, indexing, search processing, platform administration, performance optimization, security management, and advanced dashboard development.

Participants will learn how to transform machine data into actionable business intelligence by creating interactive dashboards, reports, alerts, visualizations, and operational monitoring solutions. Through practical exercises and real-world use cases, learners will gain expertise in both Splunk platform administration and advanced data analytics visualization capabilities.

 

Duration 5 Days – 35 hrs.

 

Objectives

 

  • Understand Splunk architecture and deployment models
  • Install, configure, and manage Splunk Enterprise environments
  • Onboard and manage data from multiple sources
  • Perform advanced searches using SPL (Search Processing Language)
  • Create reports, alerts, and scheduled searches
  • Design and build interactive dashboards
  • Develop advanced visualizations and KPI monitoring dashboards
  • Configure user roles, permissions, and security controls
  • Optimize indexing and search performance
  • Implement dashboard best practices for operational intelligence
  • Monitor infrastructure, applications, security events, and business processes using Splunk
  • Apply enterprise dashboard governance and lifecycle management

Target Audience

 

  • System Administrators
  • IT Operations Engineers
  • SOC Analysts
  • Security Analysts
  • SIEM Administrators
  • DevOps Engineers
  • Site Reliability Engineers (SREs)
  • Application Support Teams
  • Network Administrators
  • Database Administrators
  • Business Intelligence Professionals
  • Data Analysts
  • IT Managers and Team Leaders

 

Prerequisites

 

  • Basic understanding of IT infrastructure
  • Familiarity with Windows and Linux operating systems
  • Basic networking knowledge
  • Understanding of logs and monitoring concepts
  • Basic database or data analytics knowledge (recommended but not required)
  • No prior Splunk experience required

 

 

Course Outline

 

Day 1 – Splunk Fundamentals and Platform Architecture

 

Module 1: Introduction to Splunk

 

  • What is Splunk?
  • Splunk use cases and business value
  • Machine data analytics fundamentals
  • Operational Intelligence concepts
  • Splunk product ecosystem

 

Module 2: Splunk Architecture

 

  • Splunk deployment models
  • Splunk components overview
  • Forwarders
  • Indexers
  • Search Heads
  • Deployment Servers
  • Cluster Master
  • License Master

 

Module 3: Installing and Configuring Splunk

 

  • Splunk Enterprise installation
  • Initial platform configuration
  • Licensing management
  • Deployment planning
  • Configuration files overview

 

Module 4: Splunk Administration Basics

 

  • User management
  • Role-based access control
  • Authentication options
  • Security best practices
  • Splunk Web administration

Hands-On Lab

  • Install Splunk Enterprise
  • Configure users and roles
  • Explore Splunk architecture components

 

 

 

 

 

 

 

 

 

Day 2 – Data Management and Search Processing

 

Module 5: Data Onboarding

 

  • Data ingestion methods
  • Universal Forwarders
  • Heavy Forwarders
  • Syslog integration
  • API and cloud data ingestion

 

Module 6: Data Inputs and Indexing

 

  • Creating data inputs
  • Source types
  • Index management
  • Event parsing
  • Metadata management

 

Module 7: Search Processing Language (SPL) Fundamentals

 

  • Search commands
  • Filtering data
  • Transforming data
  • Statistical functions
  • Search optimization

 

Module 8: Advanced SPL Techniques

 

  • Sub-searches
  • Lookups
  • Field extractions
  • Event correlation
  • Data enrichment

Hands-On Lab

  • Onboard server logs
  • Build SPL queries
  • Create custom field extractions

 

 

Day 3 – Reporting, Alerting, and Dashboard Fundamentals

 

Module 9: Reports and Saved Searches

 

  • Report creation
  • Scheduled reporting
  • Report acceleration
  • Search optimization

 

Module 10: Alert Management

 

  • Real-time alerts
  • Scheduled alerts
  • Alert actions
  • Notification integration
  • Incident workflows

 

Module 11: Dashboard Studio Fundamentals

 

  • Introduction to Dashboard Studio
  • Dashboard components
  • Visualizations overview
  • Dashboard design principles

 

Module 12: Basic Dashboard Development

 

  • Single-value visualizations
  • Tables
  • Bar charts
  • Pie charts
  • Line charts
  • Area charts

Hands-On Lab

  • Create operational dashboards
  • Configure alert-driven visualizations
  • Build executive summary reports

 

 

 

Day 4 – Advanced Dashboard Development and Data Visualization

 

Module 13: Advanced Dashboard Studio

 

  • Dashboard JSON framework
  • Dashboard source code structure
  • Dashboard customization
  • Dynamic visualizations

 

Module 14: Interactive Dashboards

 

  • Drill-down functionality
  • Dynamic filtering
  • Tokens and variables
  • Dashboard navigation
  • User interaction design

 

Module 15: Advanced Visualization Techniques

 

  • KPI dashboards
  • Trend analysis dashboards
  • Performance monitoring dashboards
  • Security monitoring dashboards
  • Executive reporting dashboards

 

Module 16: Dashboard Performance Optimization

 

  • Dashboard acceleration
  • Search optimization
  • Data model acceleration
  • Summary indexing
  • Resource management

Hands-On Lab

  • Build executive KPI dashboard
  • Create SOC monitoring dashboard
  • Implement drill-down reporting

 

 

 

Day 5 – Enterprise Platform Management and Dashboard Governance

 

Module 17: Splunk Platform Monitoring

 

  • Monitoring Console
  • Health monitoring
  • Capacity planning
  • Resource utilization analysis

 

Module 18: High Availability and Scalability

 

  • Indexer clustering
  • Search head clustering
  • Distributed search
  • Disaster recovery planning

 

Module 19: Security and Governance

 

  • Security best practices
  • Audit logging
  • Compliance monitoring
  • Dashboard governance framework
  • Change management

 

Module 20: Enterprise Dashboard Strategy

 

  • Dashboard lifecycle management
  • Dashboard standardization
  • Visualization best practices
  • Executive reporting frameworks
  • Operational Intelligence maturity model

 

 

 

 

 

 

 

 

Capstone Project

 

  • Data onboarding
  • SPL development
  • Alerting framework
  • Interactive dashboard creation
  • KPI monitoring dashboard
  • Executive reporting dashboard
  • Platform administration and optimization

 

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