Transform Your Data Architecture for Streaming and Event-Driven Systems
In today's data-centric world, the ability to efficiently capture and manage streaming data (i.e. event streams) is increasingly important. This ceaseless flow of data presents new challenges in terms of capturing, storing, and processing that traditional databases architectures struggle to handle.
In this installment of Architecting Data Strategies with YugabyteDB, we delve into real-world case studies of how businesses have transformed their data streaming processes. With YugabyteDB at the core of their architectures, these organizations have successfully overcome the inherent challenges of managing streaming data.
Chapters:
0:00 - Introduction
01:35 - What is Streaming Data?
02:44 - Use Cases for Streaming Data
04:35 - Benefits of Adopting Event Streaming Data Systems
6:06 Challenges with Implementing Real-Time Event Processing System
6:59 - Definition of “Real-Time”
7:37 - Basic Architecture of Modern Data Streaming System
10:39 - Event Processing Sources at the Edge
12:24 - 3 Companies Using YugabyteDB as Storage Tier for Event Processing Systems
20:49 - Conclusion
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