How to Use Kafka & Vectors for Real-Time Anomaly Detection

In the fast-paced realm of the Internet of Things (IoT), the overflow of data can be overwhelming. Harnessing the potential of this data requires adept anomaly detection in real-time. Join Vishwajeet Dabholkar and Siddharth Gupta as they unveil the power of SingleStore's latest features, demonstrating the platform's capabilities in real-time anomaly detection for IoT data. Dive into a live demo that spotlights SingleStore's high-velocity data ingestion pipelines, hybrid transaction-analytical processing, and enhanced vector support in action.

What You'll Learn:

• The Power of SingleStore: Understand how SingleStore addresses the challenges posed by IoT data with fast analytics, hybrid processing, and robust vector support.

• Real-time Anomaly Detection: See how SingleStore's high-velocity data ingestion pipelines, combined with Kafka, enable instantaneous analytics and decision-making.

• Enhanced Vector Processing: Dive into how vector processing accelerates data analytics, and witness it in action during the demonstration.

• Live Analytics & Visualization: Explore SingleStore's built-in notebook feature, facilitating real-time insights and data-driven decision-making through interactive dashboards.

Speakers:

• Vishwajeet Dabholkar, Enterprise Solutions Engineer at SingleStore

• Siddharth Gupta, Enterprise Solutions Engineer at SingleStore