Final answer:
Option C, recognizing what one wants to do with the data, is the correct consideration to identify when building a database. Understanding the purpose influences the design and structure of the database, including table relationships and data types. Data can be edited after initial creation, and well-structured tables are vital for data integrity and efficiency.
Step-by-step explanation:
When building a database, one important consideration is the recognition of the database's intended use. Option C, I should recognize what I want to do with the data, addresses the need to understand the purpose and requirements of the database before starting to design it. This understanding guides decisions on how to structure the database, which data fields to include, and how to establish relationships between tables.
It is essential to note that it is possible to modify a database after its initial creation, contrary to Option A's suggestion that the data cannot be changed later. Therefore, Option A is misleading. Furthermore, the way data is grouped into tables matters significantly for both data integrity and query efficiency, making Option B incorrect. While ensuring consistent data types is important, as mentioned in Option D, databases often handle multiple types of data, not just a single type.
In general, tables should be structured to minimize redundancy and promote data integrity. The grouping of data can be decided through normalization techniques, which organize data to reduce redundancy and dependency. Reasons for switching between tables when querying data include optimizing performance, separating concerns, and ensuring data normalization.