Answer / Ritika Saraf

Yes, Impala is designed to scale. It supports horizontal scaling by adding more nodes to the cluster, which allows it to handle increasing data volumes and query loads.

Is hive an impala requirement?

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Is impala intended to handle real time queries in low-latency applications or is it for ad hoc queries for the purpose of data exploration?

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Why does my select statement fail?

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Is there an update statement?

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What are the most memory-intensive operations?

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How does impala process join queries for large tables?

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Is it possible to share data files between different components?

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What is the no. Of threads created by impala?

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How do I know how many impala nodes are in my cluster?

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Can I do transforms or add new functionality?

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What are the main features of impala?

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What are distinct operators in impala?

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