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Answer: Parquet and ORC are columnar formats that are highly efficient for read-heavy workloads and support advanced optimizations like predicate pushdown and column pruning.
Choosing the right file format is crucial for optimizing both query performance and storage efficiency. Columnar formats like Parquet and ORC are highly efficient for read-heavy workloads and support advanced optimizations that can significantly improve query performance by reducing the amount of data read. These formats also compress data more effectively, leading to better storage efficiency.
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Discuss the importance of choosing the right file format for storing data in a data lake. How do different file formats like Parquet, ORC, and Avro impact query performance and storage efficiency?
A
Parquet and ORC are columnar formats that are highly efficient for read-heavy workloads and support advanced optimizations like predicate pushdown and column pruning.
B
Avro is the best choice for all scenarios due to its compact size and efficient serialization, which makes it superior for both storage and query performance.
C
Text files are the most efficient for storage and query performance as they are simple and do not require any additional processing.
D
File format does not impact query performance or storage efficiency, as these are primarily determined by the data processing engine.