Kathi Kellenberger, Scott Shaw

Beginning T-SQL 2012 (eBook, PDF)

• Format: PDF

Produktbeschreibung

Beginning T-SQL 2012 is the first step toward learning the T-SQL language that underlies Microsoft's SQL Server database engine. T-SQL is essential in writing SQL statements to get data into and out of a database. T-SQL is the foundation for business logic embedded in the database in the form of stored procedures and functions. Beginning T-SQL 2012 starts you on the path to mastering T-SQL, with an emphasis on best practices and sound coding techniques.

Beginning T-SQL 2012 begins with an introduction to databases, normalization, and to SQL Server Management Studio. Each subsequent chapter teaches an aspect of T-SQL, building on the skills learned in previous chapters. Exercises in each chapter give readers an opportunity for the hands-on practice that leads to true learning and distinguishes the competent professional.

• Imparts best practices for writing T-SQL
• Helps you avoid common errors
• Shows how to write scalable code for good performance

---

Dieser Download kann aus rechtlichen Gründen nur mit Rechnungsadresse in A, B, BG, CY, CZ, D, DK, EW, E, FIN, F, GR, HR, H, IRL, I, LT, L, LR, M, NL, PL, P, R, S, SLO, SK ausgeliefert werden.

Produktdetails

• Verlag: Apress
• Seitenzahl: 456
• Erscheinungstermin: 14. September 2012
• Englisch
• ISBN-13: 9781430237051
• Artikelnr.: 43729600

Autorenporträt

strongKathi Kellenberger/strong is a consultant with Linchpin People. She enjoys writing and speaking on SQL Server topics, having written over two dozen articles, contributed to four books, and presented at many SQL Server events. In her spare time, Kathi enjoys spending time with family and friends, singing and cycling.

Inhaltsangabe

1. Getting Started
2. Writing Simple SELECT Queries
3. Using Functions and Expressions
4. Querying Multiple Tables
5. Grouping and Summarizing Data
6. Manipulating Data
7. Understanding T-SQL Programming Logic
8. Working with XML
9. Moving Logic to the Database
10. Working with Data Types
11. Writing Advanced Queries
12. Where to Go Next?