Overview
Through the course, you'll master advanced data ingestion techniques, ensure efficient handling of high-volume data, and refine your data parsing and transformation skills. You'll gain a deep understanding of advanced Search Processing Language (SPL), including creating sophisticated searches, data models, macros, and custom commands.
Key focus areas include performance tuning and optimization, which will equip you with the skills to enhance search performance, manage resources effectively, and utilize monitoring consoles for continuous improvement. You'll also develop robust strategies for implementing role-based access control, ensuring data integrity, and establishing comprehensive auditing and monitoring systems.
The course covers advanced dashboard and visualization techniques, teaching you to create dynamic, real-time dashboards and integrate with external systems for enriched data insights. A highlight is the in-depth exploration of the Splunk Machine Learning Toolkit, where you'll learn to build and apply machine learning models, utilize pre-built algorithms, and implement predictive analytics to uncover hidden patterns and trends in your data.
With a focus on practical application, the course includes hands-on exercises that will reinforce your learning and allow you to apply machine learning to real-world scenarios. By the end of the course, you'll have a comprehensive toolkit of advanced Splunk skills, ready to be used in your organization's data analytics and operational intelligence needs.
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Advanced Splunk Boot Camp Schedule
Full Course Details
Advanced Splunk Boot Camp
Part 1: Advanced Data Ingestion
- Advanced Indexing Concepts
- Handling High Volume Data
- Data Parsing and Transformation
- Exercise: Advanced Data Parsing Techniques
Part 2: Advanced Search Processing Language (SPL)
- Advanced Search Commands
- Data Models and Pivots
- Creating and Using Macros
- Exercise: Writing Advanced SPL Queries
- Custom Commands and Scripts
- Exercise: Developing Custom Commands
- Transaction Searches and Anomalies
- Exercise: Complex Searches and Data Correlation
Part 3: Performance Optimization
- Search Performance Tuning
- Resource Management
- Index and Search Head Performance Optimization
- Exercise: Optimizing Search Performance
- Monitoring Console and Usage Dashboards
- Exercise: Using Monitoring Console for Optimization
Part 4: Security and Monitoring
- Role-Based Access Control (RBAC)
- Data Integrity and Confidentiality
- Auditing and Monitoring User Activity
- Exercise: Implementing Security Best Practices
- Incident Detection and Response
- Exercise: Building Incident Response Dashboards
Part 5: Advanced Dashboard and Visualization
- Advanced Dashboarding Techniques
- Custom Visualization Options
- Integrating with External Systems
- Exercise: Creating Advanced Dashboards
- Real-time Dashboards and Alerts
- Exercise: Building Real-time Monitoring Dashboards
Part 6: Splunk Machine Learning Toolkit
- Introduction to the Splunk Machine Learning Toolkit
- Building Machine Learning Models in Splunk
- Using Pre-built Machine Learning Algorithms
- Exercise: Implementing Machine Learning Use Cases
- Anomaly Detection and Predictive Analytics
- Exercise: Building and Applying Predictive Models
- Monitoring and Tuning Machine Learning Models
Splunk users who already have a foundational understanding of the platform and are
eager to deepen their knowledge and expertise.
Professionals who may benefit include:
- Developers
- Testers and QA teams
- Release engineers
- IT operations staff
- DevOps practitioners
- DBAs and data engineering teams
- Security Managers
- Security Administrators
- Senior Business Intelligence Architects and Consultants
- Senior Business Analysts
- Anyone responsible for implementing BI
- Advanced Data Parsing
- Complex Searches and Data Correlation
- Optimization of Monitoring Console
- Splunk Machine Learning Toolkit