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Answer: Implement a full outer join to capture all relationships, managing data volume and complexity through data partitioning and indexing.
Option B is the correct method as it involves using a full outer join to capture all many-to-many relationships and managing the resulting data volume and complexity through effective data partitioning and indexing, ensuring the join is efficient and manageable.
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In a data integration project, you need to join two datasets that have a many-to-many relationship. Describe how you would implement this join, including the type of join you would use and how you would manage the resulting data volume and complexity.
A
Join by combining all rows from both datasets without considering the relationship type.
B
Implement a full outer join to capture all relationships, managing data volume and complexity through data partitioning and indexing.
C
Avoid joining if the relationship is many-to-many to prevent data explosion.
D
Join by randomly selecting rows from each dataset to simplify the process.
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