Streaming Data & Disease Tracking:
Real-Time Data Processing with Elasticsearch

Free Event
 April 15, 2025
5:30 – 7:30 PM CDT
Improving Dallas - 5445 Legacy Dr
#100, Plano, TX 75024
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?
  • Learn best practices for real-time data ingestion & streaming with Elasticsearch
  • Explore real-world use cases of Elasticsearch in pandemic tracking & crisis response
  • See a live demo of Elasticsearch, Kafka & Flink for large-scale streaming analytics
  • Discover AI-powered observability & anomaly detection for healthcare data
  • Network with search engineers, AI/ML experts & big data practitioners
Featured Speakers & Sessions
Building a Real-Time Stream Processing Pipeline with Elasticsearch, Kafka & Flink
Rakshit badwaraj
Senior Data Scientist
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
Vishal Rathod
CTO, Search, Hyperflex
CTO - Observability | Hyperflex
Bhavesh Sharma
CTO, Observability, Hyperflex
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
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