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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
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
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
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
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.
Helps you learn SQL features that go beyond the SQL-92 standard and leverage Oracle to the fullest
Provides techniques that can be used as recipes and inspiration for solving business application tasks
Describes the stepwise thought process and evolution that are needed to build various bits of SQL into complete solutions to business problems
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.
Erscheinungsjahr: | 2020 |
---|---|
Genre: | Informatik |
Rubrik: | Naturwissenschaften & Technik |
Medium: | Taschenbuch |
Inhalt: |
xxiii
460 S. 72 s/w Illustr. 460 p. 72 illus. |
ISBN-13: | 9781484256169 |
ISBN-10: | 1484256166 |
Sprache: | Englisch |
Ausstattung / Beilage: | Paperback |
Einband: | Kartoniert / Broschiert |
Autor: | Berg Hansen, Kim |
Auflage: | 1st ed. |
Hersteller: |
Apress
Apress L.P. |
Maße: | 254 x 178 x 27 mm |
Von/Mit: | Kim Berg Hansen |
Erscheinungsdatum: | 20.02.2020 |
Gewicht: | 0,902 kg |
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.
Helps you learn SQL features that go beyond the SQL-92 standard and leverage Oracle to the fullest
Provides techniques that can be used as recipes and inspiration for solving business application tasks
Describes the stepwise thought process and evolution that are needed to build various bits of SQL into complete solutions to business problems
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.
Erscheinungsjahr: | 2020 |
---|---|
Genre: | Informatik |
Rubrik: | Naturwissenschaften & Technik |
Medium: | Taschenbuch |
Inhalt: |
xxiii
460 S. 72 s/w Illustr. 460 p. 72 illus. |
ISBN-13: | 9781484256169 |
ISBN-10: | 1484256166 |
Sprache: | Englisch |
Ausstattung / Beilage: | Paperback |
Einband: | Kartoniert / Broschiert |
Autor: | Berg Hansen, Kim |
Auflage: | 1st ed. |
Hersteller: |
Apress
Apress L.P. |
Maße: | 254 x 178 x 27 mm |
Von/Mit: | Kim Berg Hansen |
Erscheinungsdatum: | 20.02.2020 |
Gewicht: | 0,902 kg |