how to Deal with billions of data in sql server? -

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hi guys have sql server 2008 database along 30000000000 records in 1 major table. looking performance our queries. have done indexes. found can split our database tables multiple partitions data spread on multiple files , increes performance of query. unfortunatly functioning available in sql server enterprise edition. make unafortable us.

could guys suggest other way maintain , query performance. 

eg. select * mymajortable date between '2000/10/10' , '2010/10/10'

this query takes around 15 min retrieve around 10000 records.

a select * less efficiently served query uses covering index.

first step: examine query plan , , table scans , steps taking effort(%)

if don’t have index on ‘date’ column, need 1 (assuming sufficient selectivity). try reduce columns in select list, , if ‘sufficiently’ few, add these index included columns (this can eliminate bookmark lookups clustered index , boost performance).

you break data separate tables (say date range) , combine via view.

it dependent on hardware (# cores, ram, i/o subsystem speed, network bandwidth)

suggest post table , index definitions.


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