What we’re about
We’re delighted to have you join the Elastic global community! This group is for anyone interested in making data usable in real-time and at scale for use cases like security, observability, enterprise search, and many more, using our Elasticsearch, Kibana, Logstash, and Beats products (https://www.elastic.co/products/).
Speak at a meetup: The Community wants to hear from you! Present about your Elastic Stack stories, be it a 5-15 minute lightning talk or a detailed 25-45 minute technical presentation with Q&A. Our Speaker Guide is full of tips on giving a stellar presentation. If you’re interested, visit the elastic/call-for-meetups repo or send us an email at meetups@elastic.co.
Elastic Community Youtube Channel: All meetups are recorded and uploaded to YouTube within a few days of the event. Subscribe here to stay up to date!
Local community organizers wanted!
We’re always on the lookout for committed local organizers who will help the group thrive. If this sounds interesting to you, the Community Team at Elastic is here to support you! Email us at meetups@elastic.co.
We know that people enjoy giving back to the communities they care about, so we’ve created an Organizer guide to help you get started on your path to leading an Elastic user group.
Learn more about Elastic:
Elastic Contributor Program: https://www.elastic.co/community/contributor
Elastic Community: https://www.elastic.co/community
Community Newsletter: https://www.elastic.co/community/newsletter
Discussion Forums: https://discuss.elastic.co/
Elastic Cloud Free Trial: https://www.elastic.co/cloud/elasticsearch-service/signup
Code of Conduct: This Meetup community adheres to the Elastic Community Code of Conduct. Attendance to events run as part of this Meetup group means you agree to be an awesome human and engage by these rules.
Sponsors
See all
ElasticWe provide refreshments and event coordination.
ImprovingThank you to Improving for providing space for our meetup.- ElasticWe provide refreshments and event coordination.
- ImprovingThank you to Improving for providing space for our meetup.
- ElasticWe provide refreshments and event coordination.
- ImprovingThank you to Improving for providing space for our meetup.
Upcoming events (1)
See all- Dallas Elastic User Group June meetup5445 Legacy Dr #100, Plano, TX
Join us on Tuesday, June 17th, at Improving for our monthly Elastic Dallas User Group meetup. We'll have presentations followed by networking, refreshments, and pizza 🍕
⚡️ Interested in giving a talk? ⚡️
Are you interested presenting on your Elastic use case? We welcome 5-10 minute lightning talks, 45-minute deep dives, and everything in between. If you're interested, please send an email to meetups@elastic.co📅 Date and Time:
Tuesday, June 17th, from 5:30-7:30 pm CDT📍Location:
Improving Dallas - 5445 Legacy Dr #100, Plano, TX 75024 (Google Maps)📝Agenda:
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5:30 pm: Doors open; say hi and eat some food.
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6:20 pm: Talk # 1 -One Does Not Simply Query a Stream
Arvind Rajagopal, Principal Customer Success Technical Architect, Confluent
Abstract: Streaming data with Apache Kafka® has become the backbone of modern applications. While streams are ideal for continuous data flow, they lack built-in querying capabilities. Unlike databases with indexed lookups, Kafka’s append-only logs are designed for high-throughput processing—not for on-demand queries. This necessitates additional infrastructure to query streaming data effectively.Traditional approaches replicate stream data into external stores: relational databases like PostgreSQL for operational queries, object storage like S3 accessed via Flink, Spark, or Trino for analytics, and Elasticsearch for full-text search and log analytics. Each serves a purpose—but they also introduce silos, schema mismatches, freshness issues, and complex ETL pipelines that increase system fragility.In this session, we’ll explore solutions that aim to unify operational, analytical, and search workloads across real-time data. We'll demonstrate stream processing with Kafka Streams, Apache Flink®, and SQL engines; real-time analytics with Apache Pinot®; search capabilities with Elasticsearch; and modern lakehouse approaches using Apache Iceberg® with Tableflow to represent Kafka topics as queryable tables. While there's no one-size-fits-all solution, understanding the tools and trade-offs will help you design more robust and flexible architectures. -
6:50 pm: Q&A with Arvind Rajagopal (Principal Customer Success Technical Architect, Confluent) and Saj Sasi (Principal Solutions Architect, Elastic)
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7:30 pm: Event ends
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