Splunk Search Expert Fast StartSE-FSSPSplunkSP-SE-FS10<p>At the end of the course, you should be able to :
</p>
<ul>
<li>Search with Time</li><li>Format Time</li><li>Compare Index Time versus Search Time</li><li>Use Time Commands</li><li>Work with Time Zones</li><li>Understand what is Data Series</li><li>Transform Data</li><li>Manipulate Data with eval</li><li>Format Data</li><li>Use eval to Compare</li><li>Filter with where</li><li>Manipulate Output</li><li>Modify Result Sets</li><li>Manage Missing Data</li><li>Modify Field Values</li><li>Normalize with eval</li><li>Use Lookup Commands</li><li>Add a Subsearch</li><li>Use the return Command</li><li>Calculate Co-Occurrence Between Fields</li><li>Analyze Multiple Datasets</li></ul><p>To be successful, students should have a solid understanding of the following:
</p>
<ul>
<li>How Splunk Works</li><li>Creating Search queries</li><li>Knowledge objects (specifically reports, lookups, and fields)</li></ul><p>OR have taken the following:
</p>
<ul>
<li>Foundation Fast Start OR</li><li><span class="attentionbbcode" title="inactive or disabled course: SP-WIS">!</span>What is Splunk? <span class="fl-prod-pcode">(WIS)</span>, <span class="cms-link-marked"><a class="fl-href-prod" href="/swisscom/fr/product/splunk-its"><svg role="img" aria-hidden="true" focusable="false" data-nosnippet class="cms-linkmark"><use xlink:href="/css/img/icnset-linkmarks.svg#linkmark"></use></svg>Intro to Splunk <span class="fl-prod-pcode">(ITS)</span></a></span> and <span class="cms-link-marked"><a class="fl-href-prod" href="/swisscom/fr/course/splunk-suf"><svg role="img" aria-hidden="true" focusable="false" data-nosnippet class="cms-linkmark"><use xlink:href="/css/img/icnset-linkmarks.svg#linkmark"></use></svg>Using Fields <span class="fl-prod-pcode">(SUF)</span></a></span></li></ul><h5>Topic 1 – Working with Time</h5><ul>
<li>Searching with Time</li><li>Formatting Time</li><li>Comparing index Time versus Search Time</li><li>Using Time Commands</li><li>Working with Time Zones</li></ul><h5>Topic 2 – Statistical Processing</h5><ul>
<li>What is a Data Series?</li><li>Transforming Data</li><li>Manipulating Data with eval</li><li>Formatting Data</li></ul><h5>Topic 3 – Comparing Values</h5><ul>
<li>Using eval to Compare</li><li>Filtering with where</li></ul><h5>Topic 4 – Result Modification</h5><ul>
<li>Manipulating Output</li><li>Modifying REsults Sets</li><li>Managing Missing Data</li><li>Modifying Field Values</li><li>Normalizing with eval</li></ul><h5>Topic 5 – Leveraging Lookups and Subsearches</h5><ul>
<li>Using Lookup Commands</li><li>Adding a Subsearch</li><li>Using the return Command</li></ul><h5>Topic 6 - Correlation Analysis</h5><ul>
<li>Caclulate Co-Occurance Between Fields</li><li>Analyze Multiple Datasets</li></ul><h5>Topic 1 – Working with Time</h5><ul>
<li>Searching with Time</li><li>Formatting Time</li><li>Comparing index Time versus Search Time</li><li>Using Time Commands</li><li>Working with Time Zones</li></ul><h5>Topic 2 – Statistical Processing</h5><ul>
<li>What is a Data Series?</li><li>Transforming Data</li><li>Manipulating Data with eval</li><li>Formatting Data</li></ul><h5>Topic 3 – Comparing Values</h5><ul>
<li>Using eval to Compare</li><li>Filtering with where</li></ul><h5>Topic 4 – Result Modification</h5><ul>
<li>Manipulating Output</li><li>Modifying REsults Sets</li><li>Managing Missing Data</li><li>Modifying Field Values</li><li>Normalizing with eval</li></ul><h5>Topic 5 – Leveraging Lookups and Subsearches</h5><ul>
<li>Using Lookup Commands</li><li>Adding a Subsearch</li><li>Using the return Command</li></ul><h5>Topic 6 - Correlation Analysis</h5><ul>
<li>Caclulate Co-Occurance Between Fields</li><li>Analyze Multiple Datasets</li></ul>At the end of the course, you should be able to :
- Search with Time
- Format Time
- Compare Index Time versus Search Time
- Use Time Commands
- Work with Time Zones
- Understand what is Data Series
- Transform Data
- Manipulate Data with eval
- Format Data
- Use eval to Compare
- Filter with where
- Manipulate Output
- Modify Result Sets
- Manage Missing Data
- Modify Field Values
- Normalize with eval
- Use Lookup Commands
- Add a Subsearch
- Use the return Command
- Calculate Co-Occurrence Between Fields
- Analyze Multiple DatasetsTo be successful, students should have a solid understanding of the following:
- How Splunk Works
- Creating Search queries
- Knowledge objects (specifically reports, lookups, and fields)
OR have taken the following:
- Foundation Fast Start OR
- What is Splunk? (WIS), Intro to Splunk (ITS) and Using Fields (SUF)Topic 1 – Working with Time
- Searching with Time
- Formatting Time
- Comparing index Time versus Search Time
- Using Time Commands
- Working with Time Zones
Topic 2 – Statistical Processing
- What is a Data Series?
- Transforming Data
- Manipulating Data with eval
- Formatting Data
Topic 3 – Comparing Values
- Using eval to Compare
- Filtering with where
Topic 4 – Result Modification
- Manipulating Output
- Modifying REsults Sets
- Managing Missing Data
- Modifying Field Values
- Normalizing with eval
Topic 5 – Leveraging Lookups and Subsearches
- Using Lookup Commands
- Adding a Subsearch
- Using the return Command
Topic 6 - Correlation Analysis
- Caclulate Co-Occurance Between Fields
- Analyze Multiple DatasetsTopic 1 – Working with Time
- Searching with Time
- Formatting Time
- Comparing index Time versus Search Time
- Using Time Commands
- Working with Time Zones
Topic 2 – Statistical Processing
- What is a Data Series?
- Transforming Data
- Manipulating Data with eval
- Formatting Data
Topic 3 – Comparing Values
- Using eval to Compare
- Filtering with where
Topic 4 – Result Modification
- Manipulating Output
- Modifying REsults Sets
- Managing Missing Data
- Modifying Field Values
- Normalizing with eval
Topic 5 – Leveraging Lookups and Subsearches
- Using Lookup Commands
- Adding a Subsearch
- Using the return Command
Topic 6 - Correlation Analysis
- Caclulate Co-Occurance Between Fields
- Analyze Multiple Datasets3 jours3000.003000.003000.003000.003000.002500.003000.003000.003000.003000.003000.003000.003000.004140.003300.00300.00300.00300.00300.00300.00300.00300.00300.00300.00300.00