Power User Fast Start

Översikt

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

                                                        • How Splunk works
                                                        • Creating search queries
                                                        • Prerequisites can be obtain with free elearning :

                                                          What is Splunk (SSC): https://www.splunk.com/en_us/training/courses/what-is-splunk.html

                                                          Intro to Splunk (SSC): https://www.splunk.com/en_us/training/courses/intro-to-splunk.html

                                                          Using Fields (SSC): https://www.splunk.com/en_us/training/courses/using-fields.html

                                                          Visualizations (SSC): https://www.splunk.com/en_us/training/courses/visualizations.html

                                                          Intro to Knowledge Objects (SSC) : https://www.splunk.com/en_us/training/courses/intro-to-knowledge-objects.html

                                                          Search Under the Hood (SSC) : https://www.splunk.com/en_us/training/courses/search-under-the-hood.html

                                                          Or ask Arrow Education Team for Prerequisites Fast Start bundle (SPL_PREREQ)

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