Hello,
I'm an entry-level optimization analyst working at a company which utilizes a flat database (Excel) in conjunction with Stata 12.
I am sure that a relational database (Access, SQL, etc.) would be far more efficient, just based off of how a relational database generally works, but I can't find anything online stating that relational databases are far superior for use with Stata specifically, let alone anything quantifying this stance.
Can anyone provide any kind of data or information to show that a relational database will speed up our process significantly? At present, one of our production runs takes 9 hours to complete. Any time I mention using a relational database, my boss writes it off and tells me not to bother with it--that we need to optimize our code for use with Excel before bothering about a relational database.
I'm glad to learn it on my own and then prove it to my boss, but I want to *know* that moving to a relational database would be worth the time before doing so.
I'm an entry-level optimization analyst working at a company which utilizes a flat database (Excel) in conjunction with Stata 12.
I am sure that a relational database (Access, SQL, etc.) would be far more efficient, just based off of how a relational database generally works, but I can't find anything online stating that relational databases are far superior for use with Stata specifically, let alone anything quantifying this stance.
Can anyone provide any kind of data or information to show that a relational database will speed up our process significantly? At present, one of our production runs takes 9 hours to complete. Any time I mention using a relational database, my boss writes it off and tells me not to bother with it--that we need to optimize our code for use with Excel before bothering about a relational database.
I'm glad to learn it on my own and then prove it to my boss, but I want to *know* that moving to a relational database would be worth the time before doing so.
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