Administering Advanced Cisco Contact Center Enterprise
Splunk Power User Fast Track
Price:
Duration:
USD 4,000 excl. VAT
4 Days
Prerequisites
To be successful, students should have an understanding of the following things:
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How Splunk works
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How to perform basic searches
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How to create simple visualizations
Course Overview
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.
Course Objectives
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Utilize over 60 commands and functions to transform, manipulate, normalize, correlate, and filter data.
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Filter data using time modifiers and time commands and use formatting functions to accommodate various time formats.
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Calculate statistics using transforming commands and mathematical and statistical eval functions.
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Compare, manipulate, and normalize data using several commands including the all-powerful eval command and an array of statistical, comparison, conditional, and formatting functions.
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Calculate co-occurrence between fields and analyze data from multiple datasets.
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Create, curate, manage and share knowledge objects.
Course Outline
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Topic 1 – Working with Time
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Formatting Time
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Comparing Index Time versus Search Time
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Using Time Commands
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Working with Time Zones
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Topic 2 – Statistical Processing
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What is a Data Series?
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Transforming Data
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Manipulating Data with eval
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Formatting Data
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Topic 3 – Comparing Values
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Using eval to Compare
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Filtering with where
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Topic 4 – Result Modification
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Manipulating Output
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Modifying Results Sets
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Managing Missing Data
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Modifying Field Values
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Normalizing with eval
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Topic 5 – Correlation Analysis
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Calculate Co-Occurrence Between Fields
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Analyze Multiple Datasets
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Topic 6 – Intro to Knowledge Objects
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What are Knowledge Objects?
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Knowledge Object Settings
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Managing Knowledge Objects
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Topic 7 – Creating Knowledge Objects
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Knowledge Objects and Search-time Operations
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Creating Event Types
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Using Event Type Builder
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Creating Workflow Actions
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Creating Tags and Aliases
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Creating Search Macros
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Topic 8 – Creating Field Extractions
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Using the Field Extractor
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Creating Regex Field Extractions
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Creating Delimited Field Extractions
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Topic 9 – Data Models
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Introducing Data Model Datasets
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Designing Data Models
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Creating a Pivot
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Accelerating Data Models
Further information
If you would like to know more about this course please contact us
