Power User Fast Start

Working with Time : Module 1 - Searching with Time

• Understand the _time field and timestamps
• View and interact with the Event Timeline
• Use the earliest and latest time modifiers
• Use the bin command with the _time field

Module 2 - Formatting TIme

• Use various date and time eval functions to format time

Module 3 - Using Time Commands

• Use the timechart command
• Use the timewrap command

Module 4 - Working with Time Zones

• Understand how time and timezones are represented in your data
• Determine the time zone of your server
• Use strftime to correct timezones in results

Statistical Processing : Module 1 - What is a Data Series

• Introduce data series
• Explore the difference between single-series, multi-series, and time series data series

Module 2 - Transforming Data

• Use the chart, timechart, top, rare, and stats commands to transform events into data tables

Module 3 - Manipulating Data with eval Command

• Understand dthe eval command
• Explore and perform calculations using mathematical and statistical eval functions
• Perform calculations and concatenations on field values
• Use the eval command as a function with the stats command

Module 4 - Formatting Data

• Use the rename command
• Use the sort command

Comparing Values Module 1 - Using eval to Compare

• Understand the eval command
• Explain evaluation functions Identify and use comparison and conditional functions Use the fieldformat command to format field values

Module 2 - Filtering with where

• Use the where command to filter results
• Use wildcards with the where command
• Filter fields with the information functions, isnull and isnotnull

Result Modification Module 1 - Manipulating Output

• Convert a 2-D table into a flat table with the untable command
• Convert a flat table into a 2-D table with the xyseries command

Module 2 - Modifying Result Sets

• Append data to search results with the appendpipe command
• Calculate event statistics with the eventstats command
• Calculate "streaming" statistics with the streamstats command
• Modify values to segregate events with the bin command

Module 3 - Managing Missing Data

• Find missing and null values with the fillnull command

Module 4 - Modifying Field Values

• Understand the eval command
• Use conversion and text eval functions to modify field values
• Reformat fields with the foreach command

Module 5 - Normalizing with eval

• Normalize data with eval functions
• Identify eval functions to use for data and field normalization

Correlation Analysis Module 1 - Calculate Co-Occurrence Between Fields

• Understand transactions
• Explore the transaction command

Module 2 - Analyze Multiple Data Sources

• Understand subsearch
• Use the append, appendcols, union, and join commands to combine, analyze, and compare multiple data sources

Creating Knowledge Objects Topic 1 – Knowledge Objects & Search-time Operations

• Understand role of knowledge objects for enriching data
• Define search-time operation sequence

Topic 2 – Creating Event Types

• Define event types
• Create event types using three methods
• Tag event types
• Compare event types and reports

Topic 3 – Creating Workflow Actions

• Identify what are workflow actions
• Create a GET, POST, and search workflow action
• Test workflow actions

Topic 4 – Creating Tags and Aliases

• Describe field aliases and tags
• Create field aliases and tags
• Search with field aliases and tags

Topic 5 – Creating Search Macros

• Explain search macros
• Create macros with and without arguments
• Validate macro arguments
• Use and preview macros at search time
• Create and use nested macros
• Use macros with other knowledge objects

Topic 6 – Creating Calculated Fields

• Explain calculated fields
• Create a calculated field
• Use a calculated field in search

Creating Field Extractions Module 1 - Using the Field Extractor

• Understand types of extracted fields and when they are extracted
• Explore the Splunk Web Field Extractor (FX)

Module 2 - Creating Regex Field Extractions

• Identify basics of regular expressions (regex)
• Understand the regex field extraction workflow
• Edit regex for field extractions

Module 3 - Creating Delimited Field Extractions

• Identify delimited field values in event data
• Understand the delimited field extraction workflow

Data Models Module 1 - Introducing Data Model Datasets

• Understand data models
• Add event, search, and transaction datasets to data models
• Identify event object hierarchy and constraints
• Add fields based on eval expressions to transaction datasets

Module 2 - Designing Data Models

• Create a data model
• Add root and child datasets to a data model
• Add fields to data models
• Test a data model
• Define permissions for a data model
• Upload/download a data model for backup and sharing

Module 3 - Creating a Pivot

• Identify benefits of using Pivot
• Create and configure a Pivot
• Visualize a Pivot
• Save a Pivot
• Use Instant Pivot
• Access underlying search for Pivot

Module 4 - Accelerating Data Models

• Understand the difference between ad-hoc and persistent data model acceleration
• Accelerate a data model
• Describe the role of tsidx files in data model acceleration
• Review considerations about data model acceleration

*This course is organized by the company Arrow.

Školitelé mají zkušenosti z praxe a jejich odbornost je potvrzena řadou mezinárodních certifikací nejvyšších úrovní. V případě specifických znalostí spolupracujeme s externími lektory a odborníky, s těmi nejlepšími v dané problematice.