Statistics and Histograms: How Estimates Are Made
Lessons in this course
- ROW_NUMBER, RANK and DENSE_RANKFree
- Running Totals: ROWS vs the Default RANGE Frame Locked
- Moving Averages with Sliding Frames Locked
- LAG and LEAD: Comparing with Neighbour Rows Locked
- FIRST_VALUE, LAST_VALUE and the Frame Trap Locked
- NTILE, PERCENT_RANK and CUME_DIST Locked
- Top-N per Group and Deduplication with a CTE Locked
- Gaps and Islands: Finding Streaks Locked
- CROSS APPLY and OUTER APPLY Locked
- PIVOT, UNPIVOT and Conditional Aggregation Locked
- Clustered Indexes: Pages, Levels and Seeks Locked
- Nonclustered Indexes, Key Lookups and Covering Locked
- SARGable Predicates: Seek or Scan? Locked
- Reading Execution Plans: Cost and Estimates Locked
- Join Operators: Nested Loops, Merge and Hash Locked
- Statistics and Histograms: How Estimates Are Made Locked
- Parameter Sniffing and Plan Reuse Locked
- Isolation Levels: Dirty Reads and Phantoms Locked
- Locks, Blocking, Escalation and Deadlocks Locked
- Dynamic SQL Done Safely: sp_executesql and QUOTENAME Locked
- Final Project: A Window-Function Sales Report Locked