Practical Oracle SQL, 1st ed. Mastering the Full Power of Oracle Database
Auteur : Berg Hansen Kim
- Pivoting rows to columns and columns to rows
- Recursion in SQL with MODEL and WITH clauses
- Answering Top-N questions
- Forecasting with linear regressions
- Row pattern matching to group or distribute rows
- Using MATCH_RECOGNIZE as a row processing engine
- Take full advantage of advanced and modern features in Oracle SQL
- Recognize when modern SQL constructs can help create better applications
- Improve SQL query building skills through stepwise refinement
- Apply set-based thinking to process more data in fewer queries
- Make cross-row calculations with analytic functions
- Search for patterns across multiple rows using row pattern matching
- Break complex calculations into smaller steps with subquery factoring
Part I. Core SQL.- 1. Correlating Inline Views.- 2. Pitfalls of Set Operations.- 3. Divide and Conquer with Subquery Factoring.- 4. Tree Calculations with Recursion.- 5. Functions Defined Within SQL.- 6. Iterative Calculations with Multidimensional Data.- 7. Unpivoting Columns to Rows.- 8. Pivoting Rows to Columns.- 9. Splitting Delimited Text.- 10. Creating Delimited Text.- Part II. Analytic Functions.- 11. Analytic Partitions, Ordering and Windows.- 12. Answering Top-N Questions.- 13. Ordered Subsets with Rolling Sums.- 14. Analyzing Activity Logs with Lead.- 15. Forecasting with Linear Regression.- 16. Rolling Sums to Forecast Reaching Minimums.- Part III. Row Pattern Matching.- 17. Up and Down Patterns.- 18. Grouping Data Through Patterns.- 19. Merging Date Ranges.- 20. Finding Abnormal Peaks.- 21. Bin Fitting.- 22. Counting Children in Trees.
His professional passion is to work with data inside the database utilizing the SQL language to the fullest to achieve the best application experience for his application users. With a background fitting programs into 5 KB RAM, Kim hates to waste computing resources unnecessarily.
Kim shares his experience and knowledge by blogging at the kibeha.dk website, presenting at various Oracle User Group conferences, and being the SQL quizmaster at the Oracle Dev Gym. His motivation comes from peers who say “now I understand” after his explanations, and from end users who “can’t live without” his application coding. He is a certified Oracle OCE in SQL, and an Oracle ACE Director.
Outside the coding world, Kim is married, loves to cook, and is a card-carrying member of the Danish Beer Enthusiasts Association.
Date de parution : 02-2020
Ouvrage de 460 p.
17.8x25.4 cm