CloudOps Machine Data Analytics: Working with Splunk Components

Splunk 8
  • 15 Videos | 1h 13m 50s
  • Includes Assessment
  • Earns a Badge
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The components of Splunk provide CloudOps practitioners with reliable methods to give their data meaning and structure in efficient ways. In this course, you'll examine various Splunk components used to create reports, including datasets, data models, and inheritance. You'll also explore the primary components of Splunk's Search Processing Language, some best practices for designing data models with Splunk, and the different types of lookup configurations you can create in Splunk. You'll then use the Data Model Editor to design a data model and create charts, dashboards, and reports for visualizing ingested data. You'll use commands in Splunk to transform search results into data structures. You'll create pivot reports, lookup files, alerts, and search macros. Lastly, you'll learn how to run Splunk reports automatically.

WHAT YOU WILL LEARN

  • discover the key concepts covered in this course
    describe the data model, datasets, dataset fields, field types, categories, and inheritance used to create reports in Splunk
    use the Data Model Editor in Splunk to design a new data model and add a root event dataset and root search dataset to the data model
    describe the key components of Splunk Search Processing Language that can be used to achieve expected outcomes from datasets
    demonstrate the use of commands in Splunk to transform search results into data structures used to represent statistics and build required data visualizations
    create charts and reports for visualizing ingested data in Splunk
    use Splunk to create dashboards and add reports, charts, and search results to the dashboards
    recognize the best practices that need to be adopted when designing data models in Splunk to ensure the models fulfil reporting requirements
  • use Splunk to create pivot reports that reflect aggregation of the values of one column with respect to the values of another column
    define the concept of lookups and describe the different types of lookup configurations that can be created in Splunk to add fields from external data sources
    use Splunk to create and use lookup files to create lookup definitions
    use Splunk to schedule the process of setting up triggers to run reports automatically
    create and configure alerts in Splunk by running search queries and saving the results as alerts
    create and use the search macro in Splunk to implement reusable blocks of search processing language
    summarize the key concepts covered in this course

IN THIS COURSE

  • Playable
    1. 
    Course Overview
    1m 19s
    UP NEXT
  • Playable
    2. 
    Splunk's Data Model and Hierarchy
    7m 39s
  • Locked
    3. 
    Creating Data Models in Splunk
    5m 56s
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    4. 
    Splunk SPL Core Components
    5m 36s
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    5. 
    Using Commands in Splunk to Transform Results
    4m 56s
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    6. 
    Creating Charts and Reports in Splunk
    5m 10s
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    7. 
    Creating Dashboards in Splunk
    3m 53s
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    8. 
    Best Practices for Designing Data Models in Splunk
    6m 16s
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    9. 
    Creating Pivot Tables in Splunk
    3m 58s
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    10. 
    The Lookup Technique in Splunk
    4m 55s
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    11. 
    Creating and Using Lookup Files in Splunk
    4m 28s
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    12. 
    Scheduling Report Run Triggers in Splunk
    3m 55s
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    13. 
    Working with Alerts in Splunk
    4m 35s
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    14. 
    Creating and Using the Splunk Search Macro
    3m 8s
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    15. 
    Course Summary
    1m 36s

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