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Answer: Use appropriate distribution styles and sorting keys to optimize data layout.
Optimizing the distribution styles and sorting keys in Amazon Redshift can significantly enhance the performance of complex data aggregations. Proper data layout reduces the amount of data that needs to be shuffled during query execution, leading to faster results.
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In a scenario where you need to perform complex data aggregations on a large dataset stored in Amazon Redshift, what strategies would you employ to optimize the performance of these aggregations? Consider the use of indexes, distribution styles, and sorting keys.
A
Increase the number of nodes in the Redshift cluster to improve aggregation performance.
B
Use appropriate distribution styles and sorting keys to optimize data layout.
C
Create indexes on the columns used in aggregation queries.
D
Use AWS Glue to preprocess and aggregate data before loading into Redshift.
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