Explanation:
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.
Ultimate access to all questions.
No comments yet.
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.