Solving data quality issues
Any time you're using the Splunk platform, you want to ensure that the data within it is accurate, complete, reliable, and consistent. Trusting your data is important, and you need to be sure you're not affected by data quality problems such line breaking, event breaking, and timestamp extraction issues.
This video shows you:
- The importance of data quality in Splunk platform and how to measure it
- Common data quality issues that may arise when ingesting data and how to tackle them
- How to diagnose and rectify line breaking issues
- How to tackle event breaking issues
- How to resolve timestamp issues
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In addition, these resources might help you understand and implement this guidance:
- Product tip: Configuring new source types
Still need help with this use case? Most customers have OnDemand Services per their license support plan. Engage the ODS team at OnDemand-Inquires@splunk.