Learn about the value of the Kinetica Streaming Data Warehouse in this webinar on Thursday, December 10th at 2 p.m. Register now.
The growth of streaming data sources is driving the need for real-time geospatial, graph analytics, and machine learning capabilities at scale. These high velocity use cases require a streaming data warehouse, a platform delivering up-to-the-second analysis on data as it arrives. During this webinar, learn about how the Kinetica Streaming Data Warehouse is suited for real-time analysis and high-velocity, high-scale use cases.
Learning objectives:
- Best practices for developing a system architecture for a streaming data warehouse
- Integrated model training with NVIDIA RAPIDS
- Autonomous Kubernetes orchestration
- Comprehensive model auditing
- Accelerated geospatial and graph analytics at scale using the raw processing power of the NVIDIA GPU
- Example implementations from our work with federal clients, including the Department of State and the U.S. Postal Service, where we optimize routes in real-time for carriers and 250,000+ vehicles
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