I have a data source which outputs about 70 Tables worth of unique data hourly. I am working on a front-end that will allow access to this data. I want to be able to view the data in hourly increments as well as 24 hour, Monthly, Quarterly, and Semi-Annual increments. My question is...
What would be the most efficient way to store the data within access while allowing easy querying of the data from seperate tables/sources through SQL Queries?
1. Should each of the 70 Tables be stored in 1 Access db with new hourly data appended to it?
2. Should all 70 Tables be stored in a new Access db every hour named according to Source, Date, HourMin?
3. Should each of the 70 Tables have its own Access db with hourly data written to Tables within according to Source, Date, HourMin?
Hope that makes sense. The front-end will most likely be built in .NET and retrieve the data from one of the above scenarios. What will be the best approach to this problem? If you have a better idea please share.
Thank you,
Brian
What would be the most efficient way to store the data within access while allowing easy querying of the data from seperate tables/sources through SQL Queries?
1. Should each of the 70 Tables be stored in 1 Access db with new hourly data appended to it?
2. Should all 70 Tables be stored in a new Access db every hour named according to Source, Date, HourMin?
3. Should each of the 70 Tables have its own Access db with hourly data written to Tables within according to Source, Date, HourMin?
Hope that makes sense. The front-end will most likely be built in .NET and retrieve the data from one of the above scenarios. What will be the best approach to this problem? If you have a better idea please share.
Thank you,
Brian