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In this course, you will learn how to calculate co-occurrence between fields and analyze data from multiple datasets, increase your knowledge of searching and learn how to work with multivalue data. In addition, you will learn tips and tricks to improve search performance using accelerations.

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What's inside

Syllabus

Correlation Analysis
This module is for users who want to learn how to calculate co-occurrence between fields and analyze data from multiple datasets. Topics will focus on the transaction, append, appendcols, union, and join commands.
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Search Under the Hood
This eLearning module gives students additional insight into how Splunk processes searches. Students will learn about Splunk architecture, how components of a search are broken down and distributed across the pipeline, and how to troubleshoot searches when results are not returning as expected.
Multivalve Fields
This module is for users who want to become experts on searching and manipulating multivalue data. Topics will focus on using multivalue eval functions and multivalue commands to create, evaluate, and analyze multivalue data.
Search Optimization
This module is for users who want to improve search performance. Topics will cover how search modes affect performance, how to create an efficient basic search, how to accelerate reports and data models, and how to use the tstats command to quickly query data.

Good to know

Know what's good
, what to watch for
, and possible dealbreakers
Ideal for users who want to enhance their search abilities and become more efficient with searching and multivalue data
Well-rounded for users who want to improve search performance, covering topics like optimizing basic searches, accelerating reports and data models
Suitable for learners with some Splunk experience who are looking to expand their knowledge of searching, particularly in relation to data correlations, multivalue data handling, and search performance optimization

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Reviews summary

Highly recommended splunk course

According to students, Splunk Search Expert 103 is a highly recommended course with excellent materials. Learners say the course is very nice and soo perfect. Those who reviewed the course gave it a perfect 5 out of 5 stars.

Activities

Be better prepared before your course. Deepen your understanding during and after it. Supplement your coursework and achieve mastery of the topics covered in Splunk Search Expert 103 with these activities:
Review Course Prerequisites
Review the fundamental concepts of searching in Splunk to ensure a solid foundation for the course.
Show steps
  • Revisit documentation on Splunk search syntax and commands.
  • Practice basic search queries using the Splunk web interface or CLI.
Review Fundamentals of Data Analysis and Statistics
Refresh your foundational knowledge by reviewing basic statistics and data analysis concepts, which will help you understand the concepts in this course more easily.
Browse courses on Data Mining
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  • Review concepts of probability distribution, descriptive statistics and hypothesis testing
  • Solve practice problems and complete exercises to reinforce your understanding
Explore Splunk Documentation
Supplement your understanding with insights from Splunk's official documentation.
Show steps
  • Visit the Splunk documentation website.
  • Explore sections relevant to the course topics, such as search architecture and optimization techniques.
  • Read through documentation articles and examples.
13 other activities
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Explore Splunk Tutorial and Documentation
Enhance your understanding of Splunk by following in-depth tutorials and referring to the official documentation, which can provide additional insights and practical examples.
Show steps
  • Go through the Splunk Fundamentals tutorial provided by Coursera
  • Refer to Splunk's documentation to explore advanced concepts and use cases
Explore Splunk's Architecture
Understanding Splunk's architecture will help you optimize your searches and troubleshoot issues more effectively.
Show steps
  • Read through Splunk's documentation on architecture.
  • Attend a Splunk webinar or training session on architecture.
  • Experiment with different search commands and observe how they affect the search pipeline.
Join a Study Group for Splunk
Connect with other students to discuss concepts, exchange ideas, and work through problems together, deepening your understanding of course material.
Show steps
  • Find or create a study group with fellow classmates
  • Meet regularly to discuss course material, share notes, and solve problems together
Analyze Security Logs
By analyze security logs, you can identify security threats, evaluate the effectiveness of your security measures, and improve your overall security posture.
Show steps
  • Gather security logs from various sources.
  • Parse and normalize the logs to ensure consistency.
  • Use Splunk's search commands to analyze the logs for patterns and anomalies.
  • Create visualizations and reports to present your findings.
  • Recommend and implement security improvements based on your analysis.
Complete Search Exercises
Practice your searching skills and reinforce your understanding of data analysis in Splunk.
Show steps
  • Navigate to the Splunk search bar and input various search queries.
  • Analyze the search results and identify patterns and trends.
  • Experiment with different search operators and commands.
Attend Splunk User Group Meeting
Engage with Splunk experts and enthusiasts by attending user group meetings, which can provide valuable insights, networking opportunities, and updates on the latest Splunk technologies.
Show steps
  • Find a local Splunk User Group in your area
  • Attend meetings and participate in discussions
Master Multivalue Data Manipulation
Mastering multivalue data manipulation will enable you to efficiently handle and analyze complex data in Splunk.
Show steps
  • Review Splunk's documentation on multivalue data.
  • Practice using multivalue eval functions.
  • Practice using multivalue commands.
  • Create custom searches and reports that utilize multivalue data.
Solve Splunk Practice Exercises
Solidify your understanding of Splunk by practicing with real-world datasets and exercises, which will help you gain proficiency and develop problem-solving skills.
Show steps
  • Download and install Splunk software
  • Load sample data into Splunk
  • Practice searching, analyzing, and visualizing data using Splunk commands
Connect with Splunk Experts and Practitioners
Seek guidance from experienced Splunk professionals by connecting with them through online forums, social media, or professional networking events.
Show steps
  • Join Splunk-related online communities and forums.
  • Follow Splunk experts on social media and engage with their content.
  • Attend Splunk user groups and conferences to network with practitioners.
Create a Splunk Search Query Cheat Sheet
Reinforce your learning by creating a personalized cheat sheet that summarizes key search commands, syntax, and examples.
Show steps
  • Gather and organize relevant search commands and examples from the course materials.
  • Design and create a visually appealing and easy-to-use cheat sheet.
  • Review and update your cheat sheet regularly to reflect new concepts learned.
Build a Splunk Dashboard for Real-Time Monitoring
Creating a Splunk dashboard for real-time monitoring will allow you to visualize and track key metrics and events in your environment.
Browse courses on Dashboard
Show steps
  • Identify the key metrics and events you want to monitor.
  • Create a Splunk dashboard and add relevant visualizations.
  • Configure alerts and notifications to stay informed about critical events.
  • Share the dashboard with other stakeholders.
Create Splunk-based Project
Apply your Splunk skills by developing a project that addresses a specific problem or use case, which will showcase your abilities and provide a tangible demonstration of your learning.
Show steps
  • Identify a problem or opportunity that can be addressed with Splunk
  • Design and implement a Splunk-based solution to address the problem
  • Document and present your project, showcasing your results
Contribute to Splunk Community Projects
Deepen your understanding of Splunk by actively participating in open-source projects related to the platform.
Show steps
  • Identify Splunk-related open-source projects that align with your interests.
  • Review project documentation and contribute to discussions.
  • Submit bug reports, feature requests, or code contributions to the project.

Career center

Learners who complete Splunk Search Expert 103 will develop knowledge and skills that may be useful to these careers:
Security Engineer
Security Engineers design, implement, and maintain security systems. They work with Information Security Analysts to protect computer systems and networks from unauthorized access, use, disclosure, disruption, modification, or destruction. The Splunk Search Expert 103 course can help Security Engineers develop the skills they need to be successful in their roles. The course covers topics such as how to use Splunk to search and analyze security data, how to identify security threats, and how to respond to security incidents.
Data Analyst
Data Analysts help companies make decisions based on data. They clean, analyze, and interpret large datasets to find trends and patterns. The Splunk Search Expert 103 course can help Data Analysts develop the skills they need to be successful in their roles. The course covers topics such as how to search and manipulate multivalue data, how to improve search performance, and how to use Splunk to analyze data from multiple datasets.
Information Security Analyst
Information Security Analysts protect computer systems and networks from unauthorized access, use, disclosure, disruption, modification, or destruction. They investigate security breaches and develop security plans. The Splunk Search Expert 103 course can help Information Security Analysts develop the skills they need to be successful in their roles. The course covers topics such as how to use Splunk to search and analyze security data, how to identify security threats, and how to respond to security incidents.
Data Engineer
Data Engineers design, build, and maintain the systems that store and process data. They work with Data Analysts to ensure that the data is clean, accurate, and accessible. The Splunk Search Expert 103 course can help Data Engineers develop the skills they need to be successful in their roles. The course covers topics such as how to use Splunk to search and manipulate multivalue data, how to improve search performance, and how to use Splunk to analyze data from multiple datasets.
Data Scientist
Data Scientists use data to solve business problems. They develop and implement machine learning models to predict outcomes and make recommendations. The Splunk Search Expert 103 course can help Data Scientists develop the skills they need to be successful in their roles. The course covers topics such as how to use Splunk to search and manipulate multivalue data, how to improve search performance, and how to use Splunk to analyze data from multiple datasets.
Technical Writer
Technical Writers create documentation for software and hardware products. They work with engineers and other technical staff to gather information and write clear and concise documentation. The Splunk Search Expert 103 course can help Technical Writers develop the skills they need to be successful in their roles. The course covers topics such as how to search and manipulate data, how to identify trends and patterns, and how to communicate findings to stakeholders.
Market Researcher
Market Researchers help companies understand their customers. They collect and analyze data to identify trends and patterns. The Splunk Search Expert 103 course can help Market Researchers develop the skills they need to be successful in their roles. The course covers topics such as how to search and manipulate data, how to identify trends and patterns, and how to communicate findings to stakeholders.
Systems Analyst
Systems Analysts design and implement computer systems. They work with users to understand their needs and develop systems to meet those needs. The Splunk Search Expert 103 course can help Systems Analysts develop the skills they need to be successful in their roles. The course covers topics such as how to search and manipulate data, how to identify trends and patterns, and how to communicate findings to stakeholders.
Web Analyst
Web Analysts help companies improve their website performance. They analyze data to identify trends and patterns. The Splunk Search Expert 103 course can help Web Analysts develop the skills they need to be successful in their roles. The course covers topics such as how to search and manipulate data, how to identify trends and patterns, and how to communicate findings to stakeholders.
Project Manager
Project Managers plan and execute projects. They work with stakeholders to define project scope, timelines, and budgets. The Splunk Search Expert 103 course can help Project Managers develop the skills they need to be successful in their roles. The course covers topics such as how to search and manipulate data, how to identify trends and patterns, and how to communicate findings to stakeholders.
Sales Analyst
Sales Analysts help companies improve their sales performance. They analyze data to identify trends and patterns. The Splunk Search Expert 103 course can help Sales Analysts develop the skills they need to be successful in their roles. The course covers topics such as how to search and manipulate data, how to identify trends and patterns, and how to communicate findings to stakeholders.
Business Analyst
Business Analysts help companies improve their business processes. They analyze data to identify inefficiencies and develop solutions to improve performance. The Splunk Search Expert 103 course can help Business Analysts develop the skills they need to be successful in their roles. The course covers topics such as how to search and manipulate data, how to identify trends and patterns, and how to communicate findings to stakeholders.
Financial Analyst
Financial Analysts help companies make investment decisions. They analyze financial data to identify opportunities and risks. The Splunk Search Expert 103 course can help Financial Analysts develop the skills they need to be successful in their roles. The course covers topics such as how to search and manipulate financial data, how to identify trends and patterns, and how to communicate findings to stakeholders.
Operations Analyst
Operations Analysts help companies improve their operational efficiency. They analyze data to identify inefficiencies and develop solutions to improve performance. The Splunk Search Expert 103 course can help Operations Analysts develop the skills they need to be successful in their roles. The course covers topics such as how to search and manipulate data, how to identify trends and patterns, and how to communicate findings to stakeholders.
Product Manager
Product Managers develop and manage products. They work with engineers, designers, and marketers to bring products to market. The Splunk Search Expert 103 course can help Product Managers develop the skills they need to be successful in their roles. The course covers topics such as how to search and manipulate data, how to identify trends and patterns, and how to communicate findings to stakeholders.

Reading list

We've selected six books that we think will supplement your learning. Use these to develop background knowledge, enrich your coursework, and gain a deeper understanding of the topics covered in Splunk Search Expert 103.
This reference guide provides a comprehensive overview of Splunk's search language, including all the commands and functions available. It valuable resource for experienced Splunk users who need to quickly reference specific information
This user guide provides a comprehensive overview of Splunk. It covers all aspects of Splunk, from data ingestion to data analysis and reporting. It good resource for experienced Splunk users who need help with specific tasks
Provides a comprehensive overview of Hadoop and its ecosystem, including Splunk. It can serve as a valuable reference and additional reading for this course.
Provides a comprehensive overview of Elasticsearch, including data ingestion, search, and analysis. It can provide valuable context and background knowledge for this course.
Provides a comprehensive overview of deep learning algorithms and techniques in Python. It can provide valuable background knowledge for learners interested in deep learning analytics.
Provides a comprehensive overview of natural language processing algorithms and techniques in Python. It can provide valuable background knowledge for learners interested in natural language processing analytics.

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