Question: it should not be library management system. ( 1 0 pts ) Choose a business / scientific domain, different than those you have worked on
it should not be library management system. pts Choose a businessscientific domain, different than those you have worked on
before in this class, and design a small database under the bottomup paradigm Start
with some data! Stop after your first attempt, making sure your schema is normalized no
higher than NF I suggest a max of relations in your schema.
a Describe in English your database and dataset, including its relevance and
businessscientific context.
b Where did you source it from?
c Make sure you enumerate the functional dependencies for each relation and assert
in detail their normalization level.
pts Normalize your DB schema to NF
pts Normalize your DB schema to BCNF
Note: If your data doesnt allow you to do either of these parts, get a different
schemadataset or modify your schemadata accordingly no need to show this
pts Draw a corresponding ER diagram for the database at hand.
pts Write queries operational and analytical in English, relational algebra, as
well as in SQL for your database.pts Choose a businessscientific domain, different than those you have worked on
before in this class, and design a small database under the bottomup paradigm Start
with some data! Stop after your first attempt, making sure your schema is normalized no
higher than NF I suggest a max of relations in your schema.
a Describe in English your database and dataset, including its relevance and
businessscientific context.
b Where did you source it from?
c Make sure you enumerate the functional dependencies for each relation and assert
in detail their normalization level.
pts Normalize your DB schema to NF
pts Normalize your DB schema to BCNF
Note: If your data doesnt allow you to do either of these parts, get a different
schemadataset or modify your schemadata accordingly no need to show this
pts Draw a corresponding ER diagram for the database at hand.
pts Write queries operational and analytical in English, relational algebra, as
well as in SQL for your database.
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