Splunk Fundamentals 1 Course Overview

Target Audience for Splunk Fundamentals 1

Splunk Fundamentals 1 is a course designed for professionals who want to master data-driven decision-making using Splunk.

• Data Analysts
• IT Administrators
• Security Analysts
• Network Engineers
• System Administrators
• DevOps Engineers
• Business Analysts
• Security Operations Center (SOC) Personnel
• Incident Responders
• Software Developers
• Business Intelligence Specialists
• New Users of Splunk
• Technical Support Staff
• Compliance Officers

Learning Objectives - What you will Learn in this Splunk Fundamentals 1?

Introduction to the Course's Learning Outcomes and Concepts Covered

The Splunk Fundamentals 1 course is designed to equip students with the foundational skills to navigate and utilize Splunk for operational intelligence, including data ingestion, searching, and visualization.

Learning Objectives and Outcomes

• Understand and describe the core components of Splunk and their functions within the context of operational intelligence.
• Install Splunk and get various types of data into the platform, laying the groundwork for data analysis.
• Navigate Splunk's user interface confidently, utilize Splunk Apps, and customize user settings to improve efficiency.
• Execute basic searches, use autocomplete features, set search time ranges, and analyze search results effectively.
• Utilize fields in searches to refine results and gain insights from the data using the fields sidebar.
• Master fundamental search language commands, understand the search pipeline, and perform searches with efficiency-enhancing features like autocomplete and syntax highlighting.
• Apply basic transforming commands such as top, rare, and stats to manipulate and summarize data.
• Create and customize reports and dashboards, incorporating visualizations to represent data in a meaningful way.
• Understand the purpose and application of datasets, the Common Information Model (CIM), and implement naming conventions for consistency.
• Develop and manage lookups, scheduled reports, and alerts to automate processes and monitor data for specific conditions.
• Utilize Pivot to create comprehensive reports and dashboards from data models, enhancing data analysis and reporting capabilities.