This document discusses query tuning and optimization techniques: 1. It outlines common approaches consultants take such as proactively leveraging metadata to identify missing, duplicate, or unused indexes and fetch top resource-intensive queries, and reactively identifying bottlenecks and top queries from metadata. 2. It explains how to fetch actual execution plans and compare them to estimated plans to understand performance issues. 3. It reviews common execution plan patterns like index seeks, scans, lookups, and warnings, and how to delve deeper into topics like cardinality estimation, residual predicates, data distribution impacts, and sorts. 4. It promises a demonstration of these techniques.