Overview
Join Hyperflex and the Elastic Dallas User Group for an in-person meetup packed with real-world applications of Elasticsearch in real-time data streaming, observability, and public health analytics. Whether you're working on high-velocity data processing, real-time search, or AI-driven analytics, this event is a great opportunity to learn from industry experts, see live demos, and network with fellow engineers.
Why attend this metup?
Featured Speakers
Building a Real-Time Stream Processing Pipeline with Elasticsearch, Kafka & Flink
Learn how Elasticsearch, Apache Kafka, and Flink can be combined to build a scalable, high-performance streaming data pipeline. This talk will cover:
- Real-time event ingestion & indexing using Kafka topics & Elasticsearch index templates
- Processing high-velocity data with Flink’s event-driven architecture
- Optimizing search performance with Elasticsearch’s aggregations & ILM (Index Lifecycle Management)
- Live Demo: Visualizing real-time analytics using Kibana’s TSVB, Lens, and Canvas dashboards
Best for: Data engineers, software architects, and developers working on real-time analytics, big data, and event-driven architectures.
How Elasticsearch Helped Track Disease Cases & Pandemic Control
Discover how government health agencies leveraged Elasticsearch for real-time pandemic response and outbreak monitoring. This session will showcase:
- Processing millions of patient records using Logstash, Beats & API integrations
- Building scalable dashboards to track infection rates, resource allocation & hotspots
- Using Elasticsearch’s anomaly detection & geospatial analytics to predict outbreaks
- Real-world case study: How state governments used Elastic Security & Machine Learning for crisis response
Best for: Search engineers, observability teams, and public sector data analysts looking to apply Elasticsearch for large-scale analytics.
How Elasticsearch Helped Track Disease Cases & Pandemic Control
Discover how government health agencies leveraged Elasticsearch for real-time pandemic response and outbreak monitoring. This session will showcase:
- Processing millions of patient records using Logstash, Beats & API integrations
- Building scalable dashboards to track infection rates, resource allocation & hotspots
- Using Elasticsearch’s anomaly detection & geospatial analytics to predict outbreaks
- Real-world case study: How state governments used Elastic Security & Machine Learning for crisis response
Best for: Search engineers, observability teams, and public sector data analysts looking to apply Elasticsearch for large-scale analytics.
Agenda
5:30 PM – Doors Open | Meet, Eat & Network
6:00 PM – Building a Real-Time Data Pipeline with Elasticsearch, Kafka & Flink –Rakshit Bhardwaj
6:30 PM – How Elasticsearch Helped Track Disease Cases & Pandemic Control – Vishal Rathod & Bhavesh Sharma
7:00 PM – Networking & Refreshments
7:30 PM – Event Wrap-up
