How to Use Kafka & Vectors for Real-Time Anomaly Detection
![Vishwajeet Dabholkar - <p><span style='font-size: 11pt;'> Enterprise Solutions Engineer at SingleStore</span></p>](https://images.contentstack.io/v3/assets/bltac01ee6daa3a1e14/blted2902b7a86954b7/64b15d943d598c718d0448fd/img_lp-speaker_Generic_primary_(1).png)
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![Siddharth Gupta - <p><span style='font-size: 11pt;'>Enterprise Solutions Engineer at SingleStore</span></p>](https://images.contentstack.io/v3/assets/bltac01ee6daa3a1e14/blt95a31e80664b2366/64bfe588ff3e9b9e054d8790/siddharth-gupta_primary.png)
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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
Enterprise Solutions Engineer at SingleStore
Enterprise Solutions Engineer at SingleStore
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