Elastic and the Dremio Lakehouse + Plagiarism Detection w/ NLP and Vector Search

This event has been rescheduled and will now take place on Wednesday, April 17th.

Join us on Wednesday, April 17th, at Venture X Orlando for an Orlando Elastic User Group meetup. Alex Merced (Developer Advocate at Dremio) and Priscilla Parodi (Principal Developer Advocate at Elastic) will present, followed by networking, light bites, and refreshments.

Please RSVP if you plan on attending so we can provide the venue with an accurate headcount.

Date and Time:
Wednesday, April 17th from 5:30-7:30 pm EDT

Location:
Venture X Orlando - 100 E Pine St #110, Orlando, FL 32801

Parking:

• Street parking
• A parking garage is located directly across the street (about 40’ away from the building).
• Book a spot on Spothero ahead of time

Agenda:

• 5:30 pm: Doors open; say hi, grab a seat, and eat some food.
• 6:00 pm: Better Together: Elasticsearch and the Dremio Lakehouse - Alex Merced (Developer Advocate at Dremio)
• 6:30 pm: Plagiarism Detection with NLP and Vector Search - Priscilla Parodi (Principal Developer Advocate at Elastic)
• 7:00-7:30 pm: Networking & refreshments

Talk Abstracts:

Better Together: Elasticsearch and the Dremio Lakehouse - Alex Merced (Developer Advocate at Dremio)

The synergy between Elasticsearch and the Dremio Lakehouse emerges as a transformative approach for analytics. This talk, titled "Better Together: Elasticsearch and the Dremio Lakehouse," delves into the innovative integration of Elasticsearch as a dynamic source within Dremio’s platform. By harnessing Elasticsearch's powerful search capabilities alongside Dremio’s efficient data lakehouse architecture, organizations can achieve a seamless, high-performance analytics environment.

The integration supports Elasticsearch versions 6.x and 7.x, with Dremio. This collaboration enables users to plan and execute queries efficiently by leveraging Elasticsearch’s rich metadata, including dataset discovery and details for enhanced query planning and execution. Furthermore, Dremio’s elastic connector provides a user-friendly perspective of Elasticsearch indices and mappings, simplifying data access and analysis.

Key highlights include exposing data through Elastic aliases, support for synthetic tables via wildcards, and the parallelization of queries to optimize data retrieval speeds. The talk will cover Dremio’s list promotion rules, special handling for geoshape data types, and how it maintains mapping consistency through schema learning and automatic discovery of new fields. Additionally, we will explore the extensive pushdown capabilities that allow for efficient query execution directly in Elasticsearch, reducing data movement and accelerating insights.

This session aims to provide attendees with practical knowledge on configuring and optimizing the Elasticsearch source within Dremio, ensuring a unified and efficient analytical platform. We will also touch on the technical considerations for integrating Elasticsearch with Dremio, including configuration specifics, debugging, logging, and working with Elasticsearch and x-pack. By the end of the talk, participants will be well-equipped to leverage the combined strengths of Elasticsearch and Dremio, creating a robust foundation for their data lakehouse analytics endeavors.