What are the latest trends in real-time data processing?
Some of the latest trends include edge computing, serverless architectures, and the use of AI for data analytics.
How is edge computing changing the landscape of data processing?
Edge computing reduces latency by processing data closer to the source, which is crucial for real-time applications.
Can you explain serverless architectures in this context?
Serverless architectures allow developers to build and run applications without managing servers, enabling faster deployment and scalability.
What role does AI play in real-time data processing?
AI enhances real-time data processing by automating analytics, improving decision-making, and predicting trends.
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