~/talk

Assessing and Optimize Enterprise SQL Server Environments

Talkat SQLBits 2019 · 2019-02-27..03-02· [databases]
name:Ben DeBow
links:none on file
links:none on file
slides:none on file

Claims that the top 1% equals 50% of database cost guide a concrete plan: identify the same expensive statement running across hundreds of databases, quantify its dollar cost, and tune it once to multiply savings. A deployed tool (Fortified Insights / Wisdom) maps on‑prem servers to cloud costs, surfaces top statements, and shows per‑query annual dollars. Concrete wins include consolidating 30 indexes to one for a reverse‑logistics report (runtime down 45%), removing a DBA utility table that consumed ~500 vCPUs, and enforcing data lifecycle and cost of code rules like compression, msdb indexing, and smaller non‑prod sizes.

AI-written summary · about

  1. 0:00Enterprise SQL optimization intro
  2. 1:55Pareto principle for data platforms
  3. 3:01Innovation vs budget balance
  4. 6:15Cost impact of initial design
  5. 8:48Tech costs in business terms
  6. 9:52Top 10 queries optimization
  7. 11:37Runaway DBA utility DBs
  8. 14:07Low-risk config tweaks
  9. 17:00Cleaning redundant DB artifacts
  10. 18:25Data lifecycle management
  11. 19:52Fixing missing/excess indexes
  12. 22:01Non-prod env cost reduction
  13. 23:25Cost of code over time
  14. 24:26Fortified Wisdom cost demo
  15. 27:58Prioritize by financial impact
  16. 30:28True cost of data storage
  17. 33:21Avoid data hoarding
  18. 35:31Enterprise data strategy
  19. 36:32Reduce duplicate DB copies
  20. 37:59Reporting optimization wins
  21. 40:34Missing data strategy risks
  22. 41:381% rule for cost cuts
  23. 43:05Shift to cost efficiency
  24. 44:33Enforce dev cost budgets
  25. 45:38Q&A on platform cost
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