Introducing Isha’s Splunk Course led by an industry expert with over 12 years of immersive experience. Dive deep into Splunk with interactive sessions and practical examples, ensuring a comprehensive understanding of key concepts. Our meticulously crafted syllabus reflects the latest job market demands and industry needs, guaranteeing students are equipped with relevant skills and expertise. Join us to embark on a journey towards mastering Splunk and unlocking new opportunities in the dynamic field of data analytics.
About the Instructor:
Meet our Splunk Trainer, an industry expert with vast experience deploying and managing Splunk solutions across diverse organizations. With a profound grasp of Splunk’s capabilities and best practices, our trainer is committed to delivering comprehensive, hands-on learning experiences. Gain practical insights and skills essential for success in Splunk deployments under their expert guidance.
Sample Videos:
“Mastering Splunk: From Fundamentals to Advanced Techniques – Live Training Demo video:
Mastering Splunk: From Fundamentals to Advanced Techniques–Day 1 video:
Live Sessions Price:
For LIVE sessions – Offer price after discount is 199 USD 89 89 USD Or USD13000 INR 6900 INR 5900 Rupees.
OR
What will I Learn by the end of this course?
- Gain a thorough understanding of Splunk’s architecture, functionalities, and its evolution in the industry.
- Learn to install, configure, and optimize Splunk deployments across various environments, including cloud platforms.
- Master the Splunk Search Processing Language (SPL) to effectively query, analyze, and manipulate data for actionable insights.
- Develop proficiency in indexing fundamentals, including data ingestion, metadata management, and data input methods.
- Acquire essential skills in data visualization, dashboard customization, and best practices for effective data presentation.
- Explore advanced topics such as alerts and monitoring, advanced search commands, troubleshooting, administration, deployment best practices, and real-world use cases, ensuring
Free Demo Session Timings:
10th July @ 7:30 AM – 8:30 AM (IST) (Indian Timings)
9th July @ 10 PM – 11 PM (EST) (U.S Timings)
10th July @ 3 AM – 4 AM (BST) (UK Timings)
Class Schedule:
For Participants in India: Monday to Friday 7:30 AM – 8:30 AM (IST)
For Participants in US: Sunday to Thursday 10 PM – 11 PM (EST)
For Participants in UK: Monday to Friday 3 AM – 4 AM (BST)
What student’s have to say about Abdhul:
As someone with limited experience in data analytics, I found this course incredibly valuable. The hands-on approach and practical examples helped me grasp Splunk’s functionalities quickly. Highly recommend it to anyone looking to dive into data analytics. – John D
I enrolled in this course to enhance my cybersecurity skills, and I’m glad I did. The instructor’s knowledge of Splunk’s security features and best practices is exceptional. I now feel equipped to use Splunk for threat detection and incident response in my role. – Emily L
An excellent course for IT professionals! The syllabus covers everything from basic concepts to advanced topics, making it suitable for learners of all levels. The hands-on labs were particularly helpful in reinforcing theoretical knowledge. – Michael P
I cannot recommend this Splunk course enough! The instructor’s passion for the subject and interactive teaching style kept me engaged throughout. The practical exercises and case studies provided valuable insights into real-world applications of Splunk. – David Ravindra
This course was a game-changer for my career! Coming from a non-technical background, I was intimidated by data analytics tools, but the instructor’s clear explanations and step-by-step guidance made Splunk easy to grasp. I’m excited to apply my newfound skills in my job. – Amanda S
Salient Features:
- 20 Hours of Live Training along with recorded videos
- Lifetime access to the recorded videos
- Course Completion Certificate
What are the Prerequisites for this Course?
- Basic understanding of data concepts and analytics.
- Familiarity with operating systems and command-line interfaces.
- Fundamental knowledge of networking concepts.
- Basic understanding of programming concepts, particularly in scripting languages such as Python or PowerShell (recommended but not mandatory).
- Access to a computer with internet connectivity for hands-on exercises and assignments.
- Eagerness to learn and a passion for leveraging data analytics tools for insights and decision-making.
Who can enroll in this course?
- Data analysts and data scientists seeking to enhance their data analysis skills with Splunk.
- IT professionals responsible for managing, monitoring, or troubleshooting IT infrastructure and applications.
- Cybersecurity professionals interested in utilizing Splunk for security monitoring, threat detection, and incident response.
- System administrators and DevOps engineers aiming to optimize system performance and troubleshoot issues effectively.
- Business professionals looking to leverage data analytics for informed decision-making and business intelligence.
- Anyone interested in pursuing a career in data analytics or IT operations and willing to learn Splunk from scratch.
- Students or recent graduates aspiring to enter the field of data analytics or IT operations.
Course syllabus:
Day 1: Introduction to Splunk
- Overview of Splunk
- History of Splunk
- Evolution of the Splunk platform
- Splunk’s position in the market
- Splunk Architecture
- Explanation of Forwarders, Indexers, and Search Heads
- Distributed vs. standalone deployments
- Data flow in Splunk architecture
Day 2: Splunk Installation and Configuration
- System Requirements and Prerequisites
- Hardware specifications
- Supported operating systems
- Software prerequisites (Java, etc.)
- Installation Methods
- Standalone installation
- Distributed deployment
- Cloud deployment (AWS, Azure, etc.)
Day 3: Splunk Installation and Configuration (Contd.)
- Configuration Options and Setup
- Configuration files (server.conf, inputs.conf, etc.)
- Splunk Web configuration options
- Post-Installation Tasks
- Initial setup wizard
- Licensing Splunk
- Configuring data inputs (monitoring files, directories, etc.)
Day 4: Splunk Search Processing Language (SPL) Basics
- Introduction to SPL
- Purpose and capabilities
- SPL syntax overview
- Basic Search Commands and Syntax
- Search, stats, table, timechart, etc.
- Boolean operators and wildcards
Day 5: Splunk Search Processing Language (SPL) Basics (Contd.)
- Field extractions and transformations
- Search Optimization Techniques
- Using indexes effectively
- Time range optimization
- Optimizing search pipelines
Day 6: Splunk Indexing Fundamentals
- Understanding Data Ingestion
- Sources of data (logs, events, metrics, etc.)
- Real-time vs. batch data ingestion
- Data Input Methods
- File and directory monitoring
- Scripted inputs (Python, PowerShell, etc.)
- Network inputs (TCP, UDP, syslog, etc.)
Day 7: Splunk Indexing Fundamentals (Contd.)
- Sourcetypes, Sources, and Hosts
- Importance of metadata
- Defining sourcetypes and sources
- Managing Data Inputs
- Using configuration files (inputs.conf, props.conf, etc.)
- Managing data inputs via Splunk Web interface
Day 8: Splunk Visualization Essentials
- Introduction to Data Visualization
- Importance of visualizing data
- Types of visualizations (charts, graphs, maps, etc.)
- Creating Basic Visualizations
- Bar charts, line charts, pie charts
- Single value visualizations
Day 9: Splunk Visualization Essentials (Contd.)
- Customizing Dashboards and Reports
- Layout options
- Adding panels, tables, and visualizations
- Applying styles and themes
Day 10: Splunk Visualization Essentials (Contd.)
- Best Practices for Effective Visualization
- Design principles (clarity, simplicity, consistency)
- Choosing the right visualization for the data
- Accessibility considerations
Advanced Splunk Topics:
Day 11: Splunk Alerts and Monitoring
- Introduction to Alerts and Monitoring
- Purpose of proactive monitoring
- Benefits of real-time alerting
- Configuring Alerts and Thresholds
- Defining alert conditions and thresholds
- Setting up scheduled searches for alerting
Day 12: Advanced Search Commands and Data Manipulation
- Exploring Advanced SPL Commands
- Advanced statistical functions (eventstats, streamstats)
- Advanced charting commands (geom, addtotals)
- Regular Expressions and Pattern Matching
- Understanding regular expressions (regex)
- Using regex for complex pattern matching and data extraction
Day 13: Splunk Administration and Troubleshooting
- User Management and RBAC
- Role-based access control (RBAC) best practices
- Configuring permissions and access controls
- Troubleshooting Common Issues
- Identifying and diagnosing indexing issues
- Troubleshooting search performance problems
Day 14: Splunk Administration and Troubleshooting (Contd.)
- Performance Tuning and Optimization
- Optimizing search queries and data models
- Tuning index settings for performance
- Backup and Disaster Recovery Planning
- Configuring data backups and archives
- Disaster recovery strategies and failover planning
Day 15: Splunk Deployment Best Practices
- Designing Scalable Architectures
- Planning for horizontal and vertical scalability
- Load balancing and distributed search considerations
Day 16: Splunk Deployment Best Practices (Contd.)
- Implementing High Availability
- Configuring clustering and replication strategies
- Setting up high availability configurations for Indexers and Search Heads
Day 17: Splunk Deployment Best Practices (Contd.)
- Disaster Recovery Strategies
- Planning and testing disaster recovery procedures
- Cold, warm, and hot standby configurations
Day 18: Splunk Deployment Best Practices (Contd.)
- Capacity Planning and Resource Management
- Estimating resource requirements for growing data volumes
- Monitoring and optimizing resource utilization
Day 19: Splunk Use Cases and Real-World Scenarios
- Exploring Practical Applications of Splunk
- Security and compliance monitoring
- IT operations and performance monitoring
Day 20: Splunk Use Cases and Real-World Scenarios (Contd.)
- Real-World Case Studies
- Success stories and deployments across industries
- Hands-On Exercises with Common Use Cases
- Guided exercises to simulate real-world scenarios
