What are the main challenges of batch analytics?
An example of an AI chatbot conversation about the challenges faced in batch analytics.
What are the main challenges of batch analytics?
Batch analytics often faces issues like data latency, scalability, and integration with real-time systems.
Can you explain data latency in more detail?
Data latency refers to the delay between data collection and analysis, which can hinder timely decision-making.
How does scalability affect batch analytics?
Scalability is crucial as it determines the system's ability to handle increasing data volumes without performance loss.
What are some solutions to these challenges?
Solutions include using cloud services for scalability, optimizing data pipelines, and implementing real-time analytics where possible.
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