Splunk 9: Creating Data Models and Optimizing Pivot
Splunk is the most popular data analytics platform for observability, security, and business intelligence. You'll learn how to use Splunk’s powerful tools to build and maintain data models that help Splunk data consumers get the most out of Splunk.
What you'll learn
Data is an organization’s most valuable technology asset. An organization’s approach to data can often make or break its success. Splunk helps businesses turn raw data into valuable insights using it’s powerful, extensible platform. In this course, Splunk 9: Creating Data Models and Optimizing Pivot, you’ll learn to recognize and group specific data in hierarchical formats to make it easy for everyday data consumers to build reports, dashboards, and alerts from those models. First, you’ll explore what it means to be a Splunk knowledge manager and the purpose of data models and the pivot tool. Next, you’ll understand why people model data and you’ll explore data model configuration files. Finally, you’ll create a data model using sample data, and build a dashboard using the pivot tool. When you’re finished with this course, you’ll have the skills and knowledge of Splunk data models and the pivot tool needed to become a Splunk knowledge manager in your organization and make powerful data easily accessible to everyday data consumers.
Table of contents
- The Benefits of Modeling Data 4m
- The Ingredients of a Data Model 2m
- Data Model Configuration Files 2m
- Data Model Acceleration 1m
- Demo: Examine a Data Model in JSON 3m
- Data Model Datasets 1m
- Dataset Field Categories 1m
- Field Extractions 1m
- Business Requirements and Our Scenario 3m
- Demo: Build a Data Model 11m
- Module Summary 1m