successful, students must have completed these Splunk Education course(s) or have equivalent working knowledge Time Statistical Processing - Audience Search Expert learning path Statistical Processing - Course Objectives

successful, students must have completed these Splunk Education course(s) or have equivalent working knowledge Comparing Values Result Modification - Audience Search Expert learning path Result Modification - Course Objectives

demonstrates an individual’s expertise in drilldowns, advanced behaviors and visualizations, planning, creating Extremely knowledgeable in all fields relating to the content.

Participant, Splunk Fundamentals 2 Splunk Credit Value: 150 Duration: 3 days Time: 11am – 3.30pm AEST Objectives This is a challenging, advanced class that draws on technical knowledge from many areas in Splunk and

Visualizations with Splunk 8.1 Summary This one-day course is designed for advanced users who want to create It focuses on creating dashboards, adding inputs, using event handlers and creating Splunk Custom Visualizations Participant, Splunk Fundamentals 2 Splunk Credit Value: 50 Duration: 4.5 hours Time: 11am – 3.30 pm AEST Objectives Module 1 – SplunkJS Dashboards Identify view types Create a SplunkJS dashboard Define view properties an event handler Module 4 – Creating Custom Visualizations Define the custom visualization primary files

Create detectors for common use cases. better troubleshooting Find insights using analytics and appropriate rollups in charts and detectors Create Participant, Splunk Fundamentals 2 Splunk Credit Value: 50 Duration: 4.5 hours Time: 9am – 1.30 pm AET Objectives Module 1 - Creating efficient Dashboards and Alerts Add instructions to dashboards Create single-instance detectors to monitor populations Create non-flapping detectors Monitor metrics with cyclic patterns

One of our Training Consultants can help. 150 Splunk Architects created Book courses for your team Deployed Extremely knowledgeable in all fields relating to the content.

metrics data model Discriminate between types of metadata Interact with data using built-in content Create Participant, Splunk Fundamentals 2 Splunk Credit Value: 75 Duration: 6 hours Time: 9am – 4.00pm AET Objectives dashboards Module 3 – Finding and Visualizing Metrics Search for metrics Visualize a metric in a chart Create Correctly apply rollups and analytic functions Interpret data in charts Module 5 – Alerting on Metrics Create a detector from a chart Clone a detector Create standalone detector Create a muting rule Prerequisites

Splunk Deployment Methodology and implementation in large Splunk installations and has expert-level knowledge Extremely knowledgeable in all fields relating to the content.

Extremely knowledgeable in all fields relating to the content.

Extremely knowledgeable in all fields relating to the content.

Extremely knowledgeable in all fields relating to the content.