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In the context of optimizing query performance and data management in Delta Lake, partitioning plays a crucial role. Considering a scenario where a large dataset is frequently queried based on a 'date' column, and the requirement is to minimize query execution time while ensuring cost-effectiveness and scalability. Which of the following methods correctly implements partitioning in Delta Lake to meet these requirements? Choose the best option.
A
Partitioning is not necessary in Delta Lake as it automatically optimizes queries without any manual intervention.
B
Partitioning can be implemented by manually creating separate Delta tables for each partition value, leading to increased management overhead.
C
Partitioning in Delta Lake is achieved by using the PARTITIONED BY clause in the CREATE TABLE statement, which organizes data into subdirectories based on the specified column, enhancing query performance.
D
Partitioning requires the use of external tools to organize data into partitions, as Delta Lake does not support native partitioning features.