What are the main scalability challenges in big data?
An example of an AI chatbot conversation about scalability challenges in big data.
What are the main scalability challenges in big data?
The main challenges include data volume, velocity, variety, and the need for real-time processing.
How do these challenges affect data processing?
They can lead to slower processing times, increased costs, and difficulties in data integration.
What solutions exist to address these challenges?
Solutions include distributed computing, cloud storage, and advanced data processing frameworks like Apache Spark.
Can you explain distributed computing in more detail?
Sure! Distributed computing involves spreading tasks across multiple machines to improve processing speed and efficiency.
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