This intensive course will elevate your Splunk skills to a professional level, enabling you to tackle complex data challenges, optimize performance, and leverage advanced features to drive insightful decision-making within your organization.

Throughout the course, you will explore advanced data ingestion techniques, ensuring efficient handling of high-volume data and mastering the intricacies of data parsing and transformation. You’ll gain a thorough understanding of advanced search processing language (SPL), including the creation of sophisticated searches, data models, macros, and custom commands. Performance tuning and optimization will be a key focus, equipping you with the skills to enhance search performance, manage resources effectively, and utilize monitoring consoles for continuous improvement.

Security and monitoring are paramount in today’s data-driven world, and this course will provide you with robust strategies for implementing role-based access control, ensuring data integrity, and developing comprehensive auditing and monitoring systems. You’ll also delve into advanced dashboard and visualization techniques, learning how to create dynamic, real-time dashboards and integrate with external systems for enriched data insights.

A highlight of the course is the in-depth exploration of the Splunk Machine Learning Toolkit. You will discover how to build and apply machine learning models within Splunk, utilize pre-built algorithms, and implement predictive analytics to uncover hidden patterns and trends in your data. Hands-on exercises will reinforce your learning, providing practical experience in applying machine learning to real-world scenarios.

By the end of this course, you will have a comprehensive toolkit of advanced Splunk skills, empowering you to harness the full potential of Splunk for your organization’s data analytics and operational intelligence needs.

What you will earn

This course will contribute 14 PMI® professional development units (PDUs) towards your chosen certification.

1. Advanced Indexing Concepts

2. Handling High Volume Data

3. Data Parsing and Transformation

4. Exercise: Advanced Data Parsing Techniques
   
   

Part 2: Advanced Search Processing Language (SPL)

1. Advanced Search Commands

2. Data Models and Pivots

3. Creating and Using Macros

4. Exercise: Writing Advanced SPL Queries

5. Custom Commands and Scripts

6. Exercise: Developing Custom Commands

7. Transaction Searches and Anomalies

8. Exercise: Complex Searches and Data Correlation
   
   

Part 3: Performance and Optimization

1. Search Performance Tuning

2. Resource Management

3. Index and Search Head Performance Optimization

4. Exercise: Optimizing Search Performance

5. Monitoring Console and Usage Dashboards

6. Exercise: Using Monitoring Console for Optimization
   
   

Part 4: Security and Monitoring

1. Role-Based Access Control (RBAC)

2. Data Integrity and Confidentiality

3. Auditing and Monitoring User Activity

4. Exercise: Implementing Security Best Practices

5. Incident Detection and Response

6. Exercise: Building Incident Response Dashboards
   
   

Part 5: Advanced Dashboard and Visualization

1. Advanced Dashboarding Techniques

2. Custom Visualization Options

3. Integrating with External Systems

4. Exercise: Creating Advanced Dashboards

5. Real-Time Dashboards and Alerts

6. Exercise: Building Real-Time Monitoring Dashboard
   
   

Part 6: Splunk Machine Learning Toolkit

1. Introduction to the Splunk Machine Learning Toolkit

2. Building Machine Learning Models in Splunk

3. Using Pre-Built Machine Learning Algorithms

4. Exercise: Implementing Machine Learning Use Cases

5. Anomaly Detection and Predictive Analytics

6. Exercise: Building and Applying Predictive Models

7. Monitoring and Tuning Machine Learning Models