In this episode of The GeekNarrator podcast, our host Kaivalya talks to Seeta Somagani from Volt Active Data, a low latency stream processing platform. They discuss fascinating topics about what low latency stream processing means, the different guarantees that Volt Active Data provides, and the various problems it can solve. They delve into the evolution of VoltDB to Volt Active Data, real-time data processing use cases, the high-level architecture, and how the platform effectively addresses high-concurrency challenges. This is a must-listen for anyone interested in understanding latency critical applications, data processing, and high performance computing.

Chapters:
00:00 Welcome to The GeekNarrator Podcast with Special Guest from Volt Active Data
00:41 Introduction
01:45 The Evolution of VoltDB to Volt Active Data
06:13 Exploring Real-Time Data Processing and Use Cases
08:25 Addressing High-Concurrency Challenges in Various Industries
12:57 High-Level Architecture of Volt Active Data
19:26 Understanding Stored Procedures and Data Processing in Volt
22:48 Practical Application: Tracking Data Usage with Volt Active Data
25:16 Diving into Replicated and Partitioned Tables
25:44 Exploring Event Processing and Exporting
26:57 Understanding Stored Procedures and Performance
29:03 Partitioning Strategies and Recommendations
31:39 Ensuring Determinism in Stored Procedures
35:02 Handling Complex Requirements with Compound Procedures
37:25 Fault Tolerance and Data Replication Strategies
40:44 Exploring Use Cases for VoltActiveData
43:30 The Future of Streaming and VoltActiveData's Role
47:05 Closing Remarks and How to Learn More

Volt Active Data: https://www.voltactivedata.com/use-cases/activesd-streaming-data/

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