Apache Kafka® x Apache Flink® x Elastic

IMPORTANT: PLEASE RSVP @ https://www.meetup.com/elastic-dallas-user-group/events/307341571/?slug=elastic-dallas-user-group&eventId=307341571

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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 🍕

📅 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:

• 5:30 pm: Doors open; say hi and eat some food.
• 6:00 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.
• 6:30 pm: Talk #2 - Details coming soon!
• 7:30 pm: Event ends

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If you are interested in speaking at or hosting a meetup, please email community@confluent.io