Transform and Optimize Pipelines
How Splunk helps with this use case
Transforming and optimizing data pipelines involves re-engineering and automating the flow of data from source to destination to eliminate inefficiencies, reduce complexity, and enable real-time or near-real-time analytics. This process turns intricate, fragmented data pipelines into streamlined, manageable data engines, driving operational efficiency, lowering costs, and empowering organizations to derive greater value from their data assets.
If this use case is new for you, we recommend reading through the following Getting Started Guide before exploring the use cases below.
Explore actionable guidance for this use case
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- Receiving and storing queued time series data
- Reducing Cisco ASA data volumes with Edge Processor and Ingest Processor
- Reducing log volume with SPL2 Linux/Unix templates for Edge Processor and Ingest Processor
- Reducing Palo Alto Networks log volume with the SPL2 template
- Reducing PAN and Cisco security firewall logs with Splunk Edge Processor
- Reducing Windows security event log volume with Splunk Edge Processor
- Routing root user events to a special index
- Running Edge Processor nodes in Amazon EKS (Cloud)
- Running Edge Processor nodes in Amazon EKS (OnPrem)
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- Understanding the Edge Processor startup script (Cloud)
- Understanding the Edge Processor startup script (OnPrem)
- Using Edge Processor to save Splunk Virtual Compute
- Using federated search for Amazon S3 with Edge Processor
- Using federated search for Amazon S3 with ingest actions
- Using ingest actions in Splunk Enterprise
- Using ingest actions to filter AWS CloudTrail logs
- Using ingest actions to filter AWS VPC Flow Logs
- Using ingest actions to filter Palo Alto logs
- Using ingest actions to filter Windows event logs
- Using ingest actions with source types that are renamed with props and transforms
- Using Ingest Processor to convert JSON logs into metrics
Minimize Privacy Risk and Protect Data
Optimize Data and Extract Value
Simplify Analysis With Artificial Intelligence
Transform Data Into Real Time Views
Transform and Optimize Pipelines
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