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When migrating an application that tracks library books and their details (like author or publication year) from an on-premises data warehouse to BigQuery, what schema design should you adopt to optimize query speed for author information of borrowed books, adhering to Google's best practices?
A
Maintain the current schema with separate tables for books and attributes, querying as usual.
B
Design a wide table with a column for each attribute, including detailed author information.
C
Construct a table with book and author information, nesting author details within an author column.
D
Retain the existing schema but create a view that joins all tables, and consistently query this view.