Advanced Splunk

• Experience with business intelligence and data visualization
• Knowledge of Splunk fundamentals

Audience

• Data analysts
• Data scientists
• Data engineers

Splunk is a software platform used for searching, analyzing and visualizing machine-generated big data.

This instructor-led, live training (online or onsite) is aimed at data analysts, data scientists and data engineers who wish to carry out advanced data search, analytics, and visualization using Splunk.

By the end of this training, participants will be able to:

• Create a Splunk application and a technology add-on.
• Use different data input methods and sources.
• Implement advanced search, analysis and visualization of large datasets.
• Customize and share dashboards and reports.

Format of the Course

• Interactive lecture and discussion.
• Lots of exercises and practice.
• Hands-on implementation in a live-lab environment.

Course Customization Options

• This training is based on the latest version of Splunk.
• To request a customized training for this course, please contact us to arrange.

Introduction

Review of Basic Features and Architecture of Splunk

Developing a Splunk Application and a Technology Add-on

Connecting Data to Splunk

• Understanding various data input methods and sources
• Processing data
• Improving the input process

Conducting Advanced Data Analytics

• Manipulating and filtering data
• Combining searches and using subsearches
• Working with time and multivalue fields
• Creating advanced reports
• Using geography and location
• Using advanced transactions
• Dealing with anomalies
• Predicting and trending
• Understanding machine learning

Performing Advanced Visualization

• Drilldown
• Sunburst Sequence
• Geospatial visualization
• Punchcard visualization
• Calendar heatmap visualization
• Sankey diagram

Customizing Dashboard

• Using Dashboard controls
• Managing multi-search
• Customizing tokens
• Customizing layout, look and feel
• Implementing the custom alert action

Integrating Splunk with Other Enterprise Systems

• Working with the Splunk SDK
• Splunk with Python and R for analytics
• Splunk with Tableau for visualization

Troubleshooting

Summary and Conclusion