Logstash Use Case - Ingesting csv files into Elasticsearch

This demo will start by loading a csv file into Elasticsearch. This detailed dataset contains the liquor purchases from a variety of store types (grocery stores, liquor stores, convenience stores, etc.) with product details and purchase date.

We will cover how to parse this file and some of the features of Logstash that help handle what you might encounter in your own data sources.

Highlights include:

  • csv codec
  • multiline record processing
  • mutation filter

Additional Resources:

Register to Watch

This demo will start by loading a csv file into Elasticsearch. This detailed dataset contains the liquor purchases from a variety of store types (grocery stores, liquor stores, convenience stores, etc.) with product details and purchase date.

We will cover how to parse this file and some of the features of Logstash that help handle what you might encounter in your own data sources.

Highlights include:

  • csv codec
  • multiline record processing
  • mutation filter

Additional Resources:

Michael Heldebrant

Michael architects the world’s most interesting projects. He has 15+ years of experience in information technology spanning biomedical research, logistics, digital Hollywood production, and electronic health records. Michael Heldebrant is a Solutions Architect at Elastic where he works with customers on architecting real-time data ingest, search, and analytics solutions using the Elastic Stack.