Hi,with recent events and a poor first stab at performance tuning I am very interested in looking at performance tuning for what I consider to be small Data warehouses. What's a small data warehouse you say - well for my purposes it is definatelly not a mature warehouse that has full DBA support, it is more of a young warehouse built by junior BI dudes. It probably has very few keys, few indexes if any, limited back up and limited maintenance.What I am looking to learn is how to assess the performanceStrategys for improving the performancePotential hazards along the road to faster performance.All of the warehouses I work on have to cope with ETL routines and reporting requirements. Most of the recent warehouses seem to have no OLAP element si I am now having to balance the morning load requirements with reports running queries against the warehouse.An example of what I am looking for is this weeks puzzle below.I have an 80million row table holding 100GB of data, 38 GB of index, and 97 columns. This has three indexes, and no primary key. The clustered index is not unique and can have nulls so not the best. No Partitions. The favourate query is SELECT *I will be building a similar table on a laptop so I can have a play well away from Dev or Live. The laptop has SQL Sentry on it so this could be a good time to play with that as well. Is there a dummies guide to performance tuning available somewhere on the web (perferably from a reputable dude). Once I have got through the dummies guide is there a good source for an intermediate guide that I can look at. Suggestions with reasoning for where to look first for the current issue would be fab but more interested in the long term. CheersE
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