Emergency Response & Wildfire Real-Time Analysis

Data Max

CrateDB

During this webinar you will learn how CrateDB enables:
- Identifying emergency calls near wildfire locations using geospatial distance functions
- Mapping wildfire incidents within specific areas using polygon-based queries
- Analyzing emergency calls related to wildfires with full-text search and match clauses
- Extracting the most common emergency call topics for trend analysis
- Measuring average response times between call receipt and incident discovery
- Understanding the distribution of fires across different states and cities
Discover how CrateDB’s powerful real-time analytics can transform wildfire response and help emergency teams act with speed and precision.
About CrateDB
CrateDB is a high-performance distributed database designed for real-time analytics and hybrid search. It efficiently handles large-scale data of all types with exceptional speed, all with SQL.Our Speakers

Sindi is a data engineer with expertise in Python, cloud technologies, and AI-driven systems, focused on building efficient data pipelines. With a passion for the arts, she brings a creative approach to problem-solving, exploring the intersection of technology and creativity. In collaboration with CrateDB, she developed a hands-on demo showcasing how to leverage its capabilities for real-world applications.

Simon Prickett is the Senior Product Evangelist at CrateDB. An experienced developer relations professional, Simon has enjoyed a career spanning more than 25 years as a technical storyteller, software architect, product manager and software engineer. Simon leads the development of online courses for the CrateDB Academy and is a frequent speaker at conferences and online events. He is particularly interested in the Internet of Things, APIs and projects that involve building custom hardware.