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Answer: Re-partition the Delta table based on commonly queried columns.
Re-partitioning the Delta table based on commonly queried columns can improve query performance by ensuring that data is stored in a way that aligns with the most frequent access patterns. This reduces the amount of data that needs to be scanned during query execution and can help to mitigate issues related to data skewness.
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You are working with a large dataset stored in a Delta table that is experiencing slow query performance. Describe how you would analyze the structure of the Delta table to identify potential performance issues and what steps you would take to resolve them. Consider factors such as partitioning, data skewness, and file size.
A
Re-partition the Delta table based on commonly queried columns.
B
Increase the number of small files to improve parallelism.
C
Use data skipping techniques to reduce the amount of data read.
D
Compress the Delta table files to reduce their size.
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