SE-FSSPSplunkSP-SE-FS10<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>What is Splunk? (Retired), Intro to Splunk (ITS) and [Using Fields (SUF)</li></ul><ul> <li><span class="cms-link-marked"><a class="fl-href-prod" href="/swisscom/course/splunk-wwt"><svg role="img" aria-hidden="true" focusable="false" data-nosnippet class="cms-linkmark"><use xlink:href="/css/img/icnset-linkmarks.svg#linkmark"></use></svg>Working with Time <span class="fl-prod-pcode">(WWT)</span></a></span></li><li><span class="cms-link-marked"><a class="fl-href-prod" href="/swisscom/course/splunk-ssp"><svg role="img" aria-hidden="true" focusable="false" data-nosnippet class="cms-linkmark"><use xlink:href="/css/img/icnset-linkmarks.svg#linkmark"></use></svg>Statistical Processing <span class="fl-prod-pcode">(SSP)</span></a></span></li><li><span class="cms-link-marked"><a class="fl-href-prod" href="/swisscom/course/splunk-scv"><svg role="img" aria-hidden="true" focusable="false" data-nosnippet class="cms-linkmark"><use xlink:href="/css/img/icnset-linkmarks.svg#linkmark"></use></svg>Comparing Values <span class="fl-prod-pcode">(SCV)</span></a></span></li><li><span class="cms-link-marked"><a class="fl-href-prod" href="/swisscom/course/splunk-srm"><svg role="img" aria-hidden="true" focusable="false" data-nosnippet class="cms-linkmark"><use xlink:href="/css/img/icnset-linkmarks.svg#linkmark"></use></svg>Result Modification <span class="fl-prod-pcode">(SRM)</span></a></span></li><li><span class="cms-link-marked"><a class="fl-href-prod" href="/swisscom/course/splunk-lls"><svg role="img" aria-hidden="true" focusable="false" data-nosnippet class="cms-linkmark"><use xlink:href="/css/img/icnset-linkmarks.svg#linkmark"></use></svg>Leveraging Lookups and Subsearches <span class="fl-prod-pcode">(LLS)</span></a></span></li><li><span class="cms-link-marked"><a class="fl-href-prod" href="/swisscom/course/splunk-sclas"><svg role="img" aria-hidden="true" focusable="false" data-nosnippet class="cms-linkmark"><use xlink:href="/css/img/icnset-linkmarks.svg#linkmark"></use></svg>Correlation Analysis <span class="fl-prod-pcode">(SCLAS)</span></a></span></li></ul><h5>Topic 1 &ndash; 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 &ndash; 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 &ndash; Comparing Values</h5><ul> <li>Using eval to Compare</li><li>Filtering with where</li></ul><h5>Topic 4 &ndash; 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 &ndash; 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>To 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? (Retired), Intro to Splunk (ITS) and [Using Fields (SUF)- Working with Time (WWT) - Statistical Processing (SSP) - Comparing Values (SCV) - Result Modification (SRM) - Leveraging Lookups and Subsearches (LLS) - Correlation Analysis (SCLAS)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 Datasets3 Tage3000.003000.003000.003000.003000.002500.003000.003000.003000.003000.003000.003000.003000.004140.003300.00300.00300.00300.00300.00300.00300.00300.00300.00300.00300.00