Splunk Power User Fast Start (POWER-U)

Ziele der Schulung

This Power User "Fast Start" course covers over 60 commands, functions, and knowledge objects to provide users with actionable information about searching best practices and knowledge management. Students will learn how to effectively utilize time in searches, work with different time zones, use transforming commands and eval functions to calculate statistics, compare field values with eval functions and eval expressions, manipulate output, normalize fields and field values, correlate and filter data from multiple sources, and create, manage, and share knowledge objects.

This series consists of eight modules with 24 hours of content over 4 days.

Zielgruppe Seminar

• Splunk Administrator

Voraussetzungen

To be successful, students should have a solid understanding of the following:

• How Splunk works
• How to create basic searching and visualizations

Seminarinhalt

Topic 1 – Working with Time

• Formatting Time
• Best practices for time formatting in Splunk.
• Comparing Index Time versus Search Time
• Differences and use cases for index time and search time in Splunk.
• Using Time Commands
• Applying and understanding time-related commands for better search results.
• Working with Time Zones
• Handling and adjusting time zones during data searches and analysis.

Topic 2 – Statistical Processing

• What is a Data Series?
• Definition and significance of data series in Splunk analysis.
• Transforming Data
• Methods to manipulate and transform raw data in Splunk.
• Manipulating Data with eval
• Using the eval command to perform operations on data.
• Formatting Data
• How to format data in Splunk to improve readability and analysis.

Topic 3 – Comparing Values

• Using eval to Compare
• Using eval to compare field values in Splunk searches.
• Filtering with where
• Applying the where clause to filter data based on conditions.

Topic 4 – Result Modification

• Manipulating Output
• Techniques to modify search results for better insights.
• Modifying Results Sets
• Methods to adjust and refine result sets.
• Managing Missing Data
• Approaches to handle missing or incomplete data in your searches.
• Modifying Field Values
• Changing field values for further processing or analysis.
• Normalizing with eval
• Using eval to normalize data and make it consistent across datasets.

Topic 5 – Correlation Analysis

• Calculate Co-Occurrence Between Fields
• Identifying patterns and relationships between fields using correlation.
• Analyze Multiple Datasets
• Techniques for analyzing and correlating data from different datasets.

Topic 6 – Intro to Knowledge Objects

• What are Knowledge Objects?
• Understanding the role and function of knowledge objects in Splunk.
• Knowledge Object Settings
• Configuring knowledge object settings for effective search and analysis.
• Managing Knowledge Objects
• Best practices for managing and organizing knowledge objects in Splunk.

Topic 7 – Creating Knowledge Objects

• Knowledge Objects and Search-time Operations
• How knowledge objects enhance search-time operations in Splunk.
• Creating Event Types
• Defining event types to categorize and filter data effectively.
• Using Event Type Builder
• Steps for using the Event Type Builder tool in Splunk.
• Creating Workflow Actions
• Setting up workflow actions for better incident response and investigation.
• Creating Tags and Aliases
• Creating and using tags and aliases for efficient data searching.
• Creating Search Macros
• How to create search macros for repeated search operations.

Topic 8 – Creating Field Extractions

• Using the Field Extractor
• How to use the Field Extractor tool to create custom field extractions.
• Creating Regex Field Extractions
• Applying regular expressions to extract specific field values.
• Creating Delimited Field Extractions
• Techniques for extracting fields from delimited data formats.

Topic 9 – Data Models

• Introducing Data Model Datasets
• An introduction to Splunk data model datasets and their importance.
• Designing Data Models
• Steps for designing effective and optimized data models in Splunk.
• Creating a Pivot
• How to use the Pivot tool to build reports and visualizations from data models.
• Accelerating Data Models
• Techniques to accelerate data models for improved performance.

Hinweise

Partner

Dieses Seminar bieten wir in Kooperation mit unserem Splunk Learning Partner Fast Lane Institute for Knowledge Transfer GmbH an.

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Gesicherte Kurstermine

Seminare kurz vor der Durchführung