Struktura kurzu
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Module 1 – Introduction to DSP
- Review Splunk deployment options and challenges
- Describe the purpose and value of Splunk DSP
- Understand DSP concepts and terminologies
Module 2 – Deploying a DSP Cluster
- List DSP core components and system requirements
- List DSP core components and system requirements
- Describe installation options and steps
- Check DSP service status
- Learn to navigate in DSP UI
- Use scloud
Module 3 – Prepping Sources and Sinks
- Ingest data with DSP REST API service
- Configure DSP source connections for Splunk data
- Configure DSP sink connections for Splunk indexers
- Create Splunk-to Splunk pass-through pipelines
Module 4 – Building Pipelines – Basics
- Describe the basic elements of a DSP pipeline
- Create data pipelines with the DSP canvas and SPL2
- List DSP pipeline commands
- Use scalar functions to convert data types and schema
- Filter and route data to multiple sinks
Module 5 – Building Pipelines – Deep Dive
- Manipulate pipeline options:
- Extract
- Transform
- Obfuscate
- Aggregate and conditional trigger
Module 6 – Working with 3rd party Data Feeds
- Read from and write data to pub-sub systems like Kafka
- List sources supported with the collect service
- Transform data from Kafka and normalize
- Write to S3
Module 7 – Working with Metric Data
- Onboard metric data into DSP
- Transform metric data for Splunk indexers and SignalFx
- Send metric data to Splunk indexers
- Send metric data to Splunk SignalFx
Module 8 – Monitoring DSP Environment
- Back up DSP pipelines
- Monitor DSP environment
- Describe steps to isolate DSP service issues
- Scale DSP
- Replace DSP master node
- Upgrade DSP cluster