Unified Batch and Stream Processing: Future of Data Processing?

About
Unified batch and stream processing is increasingly viewed as the future of data processing, as it offers significant advantages for many organizations needing to manage both real-time and historical data efficiently. From reduced complexity, better resource utilization, and the need to combine real-time insights with historical context, a unified batch and streaming system seems to have it all.

In this webinar, we will delve into the following topics:

• Importance of Unified Batch and Stream Processing**:** Main benefits of adopting a unified approach;
• Key Tools for Supporting Unified Batch and Stream Processing: Technologies that enable unified processing;
• Storage Formats for Unified Batch and Stream Processing: Popular storage formats like Iceberg, Delta Lake, and Hudi essential for efficient unified data management;
• Main Challenges in Implementing Unified Batch and Stream Processing**:** Common obstacles and solutions;
• Making Unified Processing Accessible and Efficient in Production: Best practices for deploying unified processing in real-world applications.

Speakers
- Rayees Pasha, CPO at RisingWave Labs
- Santona Tuli, Head of Data at Upsolver
- Zhenzhong Xu, former CTO at Claypot AI, former VP of Engineering at Voltron Data