Course Outline


Setting up Splunk

Overview of Splunk Features and Architecture

Navigating the Splunk User Interface

Performing Searches Using SPL (Search Processing Language)

Using Transforming Commands and Visualization

Building Your Own Dashboards and Creating Reports

Understanding Data Models and Pivot

Working with the Common Information Model (CIM)

Integrating Splunk with Different Databases

Getting to Know Advanced Splunk Concepts


Summary and Conclusion


  • Experience with business intelligence and data visualization.


  • Business managers
  • Business analysts
  14 Hours


Related Courses

Business Intelligence in MS SQL Server 2008

  14 hours

55232-A: Writing Analytical Queries for Business Intelligence

  21 hours

Advanced Splunk

  14 hours

Splunk Data Administration

  14 hours

Big Data Business Intelligence for Govt. Agencies

  35 hours

Big Data Business Intelligence for Telecom and Communication Service Providers

  35 hours

Qlik Sense for Data Science

  14 hours

Big Data Business Intelligence for Criminal Intelligence Analysis

  35 hours

Datameer for Data Analysts

  14 hours

IRIS: Document Classification and Data Capture

  7 hours

Power BI Dashboards

  14 hours

Pentaho Open Source BI Suite Community Edition (CE)

  28 hours

Qlik: Advanced Topics in Design and Development

  14 hours

QlikView Server Administration

  14 hours

Business Intelligence with SSAS

  14 hours