What are the main challenges in real-time data streaming?
Some key challenges include data latency, data quality, scalability, and integration with existing systems.
Can you explain how data latency affects real-time streaming?
Data latency refers to the delay between data generation and its availability for processing. High latency can lead to outdated insights.
What strategies can be used to minimize data latency?
Strategies include optimizing data pipelines, using faster data processing frameworks, and implementing edge computing.
How does data quality impact decision-making in real-time?
Poor data quality can lead to incorrect insights, which can result in misguided decisions and lost opportunities.
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