Answer / Vinod Kumar Tiwari

The future of Apache Spark looks promising. It continues to be a popular open-source big data processing framework. Its speed, scalability, and ease of use make it an ideal choice for handling large datasets. Future developments may include improvements in real-time data streaming, machine learning integrations, and better support for GPU computing.

What are the cases where Apache Spark surpasses Hadoop?

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Can you explain how to minimize data transfers while working with Spark?

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Is spark sql a database?

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What are the limitations of Apache Spark?

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Can you run spark without hadoop?

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Explain how can you minimize data transfers when working with spark?

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What is big data spark?

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How to create RDD?

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Is apache spark in demand?

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How much faster is Apache spark than Hadoop?

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How to identify that given operation is transformation/action in your program?

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Why is spark used?

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