Next Generation Data Ingestion and Preparation with Splunk [Splunk Enterprise, Splunk Developer Cloud]

You think data ingestion into Splunk is cumbersome today? Don’t enjoy writing Technology Add-ons (TA) for specific use cases? Then this talk is for you!  We will walk through data ingestion using the data sources supported by the new Splunk Investigate wizard. This allows users of all levels to configure their data source and perform various manipulation functions on the ingested data to make sure it meets their use case. We will also go over the guiding principles of the underlying Data Stream Processing (DSP) pipeline which empowers the user to add their own customizations and send data to a variety of destinations.   We will compare this with current Splunk Enterprise data ingestion process by configuring a TA for a specific use case and then alter the ingested data to the desired format before sending it to an index. The user will be able to draw a contrast between the two approaches and see how it does not have to take up to 6 weeks to acquire and prepare data for analytics in Splunk. We hope this session leaves the user excited about data ingestion and prep.   

Speaker(s)
Asmita Puri, Sr. Software Engineer, Splunk
Eric Sammer, Distinguished Engineer, Splunk

Slides PDF link - https://conf.splunk.com/files/2019/slides/DEV1140.pdf?podcast=1577146193

Product: Splunk Enterprise, Splunk Developer Cloud
Track: Developer
Level: Intermediate