Elasticsearch Transforms and Enrichment + Vector Search

Join us on Thursday, July 11th, at the Elastic Arlington office for a Washington, D.C. Elastic User Group meetup. We will have presentations, followed by networking, light bites, and refreshments.

Please RSVP if you plan on attending. Registration closes on Wednesday, July 10th, so we can provide a list of names to building security.

Date and Time:
Thursday, July 11th, from 5:30-7:30 pm EDT

Location:
Elastic Arlington Office - 4100 Fairfax Drive, Ste 500, Arlington, VA 22203

Parking:

• The building’s parking garage is operated by Colonial Parking and is located off N. Randolph Street
• Book a spot on SpotHero
• A Metro Station is located across the street

Agenda:

• 5:30 pm: Doors open; say hi, grab a seat, and eat some food.
• 5:45 pm: Elasticsearch Transforms and Enrichment with Brian Wasserman (Independent Consultant)
• 6:30 pm: Searching through audio with the Elasticsearch Vector Database with Mike Barretta (Director, Solutions Architecture at Elastic)
• 7:00-7:30 pm: Networking & refreshments

Talk Abstracts:
Elasticsearch Transforms and Enrichment - Brian Wasserman (Independent Consultant)

Elasticsearch allows you to ingest data, but building reports and dashboards using aggregations on large datasets may not perform optimally. Transforms allow you to aggregate and summarize your data while maintaining this summary independently of what ILM does with the original data. This can be combined with Enrichment to add new fields from other data sources.

This talk will demonstrate transforms and enrichment with web log data in an ECK (Elastic Cloud on Kubernetes) environment running on AKS (Azure Kubernetes Service).

Searching through audio with the Elasticsearch Vector Database - Mike Barretta (Director, Solutions Architecture at Elastic)

Audio is a rich source of information, and one that is generated in huge volumes every day; how many Zoom or Teams calls were you on today? We'll go through how and why analog audio is transformed into the spectrographs used by the current generation of transcription models, and then use one to index audio into Elasticsearch for search and discovery.