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Practical Oracle SQL: Mastering the Full Power of Oracle Database
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Tecnologia
Support for regular expressions in SQL and PL/SQL is one of the most exciting features of Oracle Database 10G. Oracle has long supported the ANSI-standard LIKE predicate for rudimentary pattern matching, but regular expressions take pattern matching to a new level. They provide a powerful way to select data that matches a pattern, as well as to manipulate, rearrange, and change that data.This concise pocket guide is part tutorial and part quick-reference. It’s suitable for those who have never used regular expressions before, as well as those who have experience with Perl and other languages supporting regular expressions. The book describes Oracle Database 10G’s support for regular expressions, including globalization support and differences between Perl’s syntax and the POSIX syntax supported by Oracle 10G. It also provides a comprehensive reference, including examples, to all supported regular expression operators, functions, and error messages.O’Reilly’s Pocket References have become a favorite among developers and database administrators everywhere. By providing a wealth of important details in a concise, well-organized format, these handy books deliver just what you need to complete the task at hand. Whether you’re using regular expressions for the first time or applying your skills from other languages to the latest version of Oracle, the Oracle Regular Expressions Pocket Reference is the book to have close by. Pocket Reference (O’Reilly): Oracle Regular Expressions Pocket Reference (Paperback)
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Specifications Suggested Age: 22 Years and Up Number of Pages: 389 Genre: Computers + Internet Sub-Genre: Databases Format: Paperback Publisher: Apress Book theme: General Author: Alex Reprintsev Language: English Street Date : April 28, 2018 TCIN : 85230543 UPC : 9781484233719 Item Number (DPCI) : 247-66-4243 Origin : Made in the USA or Imported Description About the Book Tagline: Learn about analytic functions, the model clause, row pattern matching, and other powerful features in Oracle SQL Book Synopsis Part I: Features and Theory 1. Joins2. Query Transformations3. Analytic Functions4. Aggregate Functions5. Hierarchical Queries: CONNECT BY6. Recursive Subquery Factoring7. Model8. Row Pattern Matching: match_recognize9. Logical Execution Order of Query Clauses10. Turing Completeness Part II: PL/SQL and Patterns 11. When PL/SQL is Better12. Solving SQL Quizzes13. Appendix A: Useful Oracle Links From the Back Cover Write queries using little-known, but powerful, SQL features implemented in Oracle’s database engine. You will be able to take advantage of Oracle’s power in implementing business logic, thereby maximizing return from your company’s investment in Oracle Database products. Important features and aspects of SQL covered in this book include the model clause, row pattern matching, analytic and aggregate functions, and recursive subquery factoring, just to name a few. The focus is on implementing business logic in
pure SQL, with a comparison of different approaches that can be used to write SELECT statements to return results that drive good decision making and competitive action in the marketplace. This book covers features that are often not well known, and sometimes not implemented in competing products. Chapters on query transformation and logical execution order provide a grasp of the big picture in which the individual SQL features described in the other chapters are executed. Also included are a discussion on when to use the procedural capabilities from PL/SQL, and a series of examples showing different mixes of SQL features being applied in common types of queries that you are likely to encounter. What You Will Learn: Gain competitive advantage from Oracle SQL Know when to step up to PL/SQL versus staying in SQL Become familiar with query transformations and join mechanics Apply the model clause and analytic functions to business intelligence queries Make use of features that are specific to Oracle Database, such as row pattern matching Understand the pros and cons of different SQL approaches to solving common query tasks Traverse hierarchies using CONNECT BY and recursive subquery factoring About the Author Alex Reprintsev has more than 10 years of experience in database development using various databases, including Oracle, Microsoft SQL Server, MySQL, DB2, and modern SQL engines for Big Data such as Hive and Impala. He has successfully delivered applications for various customers covering different workload types such as OLTP, OLAP, and mixed workloads. During his journey, Alex has faced a number of challenges related to implementing business logic and tuning SQL for performance. He believes details really do matter, and that it is important to know and exploit the full feature set of whatever database engine you choose to build your business around. If the item details above aren’t accurate or complete, we want to know about it. Report incorrect product info.
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Design by Jonathan Calugi for Milton \u0026 King: Through simple visual works, Jonathan draws in viewers to a basic stand and cultivates appreciation the very epitome of the common phrase of \
Learn SQL
This part of the SQL tutorial includes the SQL cheat sheet. Here you will learn various aspects of SQL that are possibly asked in the interviews.
sql
Matching Games For Toddlers
Pattern Smart is a fast-paced pattern-recognition game that develops familiarity with patterns and shapes naturally. Players race against each other to create a pattern from a flip chart. Each Pattern Smart flip chart booklet has three levels: basic, intermediate, and advanced. The patterns become more difficult with each round of play. As players progress through the flip chart, they will increase math confidence, geometric aptitude, and critical thinking ability. Players will also become familiar with the properties of triangles, squares, rhombuses, trapezoids and hexagons intuitively, without traditional textbook-style memorization. Details: 1 game 1 to 3 players Ages 5+
