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Define the common faults of the developer while using apache spark?
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Answer / Kaushalendra Singh
1. Not handling data skew: Data skew occurs when some partitions have much larger amounts of data than others, causing performance issues. 2. Misusing or neglecting caching: Caching can significantly improve performance but should be used wisely to avoid consuming too many resources. 3. Not optimizing queries with Catalyst Optimizer: Failing to use the Catalyst Query Optimizer can result in suboptimal query execution plans. 4. Ignoring error handling and logging: Proper error handling and logging are crucial for identifying issues and debugging problems.
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