SQL in 24 Hours, Sams Teach Yourself
indgår i Sams Teach Yourself serien
- Indbinding:
- Paperback
- Sideantal:
- 624
- Udgivet:
- 26. februar 2022
- Udgave:
- 7
- Størrelse:
- 231x180x29 mm.
- Vægt:
- 1184 g.
- 4-7 hverdage.
- 8. januar 2025
På lager
Forlænget returret til d. 31. januar 2025
Normalpris
Abonnementspris
- Rabat på køb af fysiske bøger
- 1 valgfrit digitalt ugeblad
- 20 timers lytning og læsning
- Adgang til 70.000+ titler
- Ingen binding
Abonnementet koster 75 kr./md.
Ingen binding og kan opsiges når som helst.
- 1 valgfrit digitalt ugeblad
- 20 timers lytning og læsning
- Adgang til 70.000+ titler
- Ingen binding
Abonnementet koster 75 kr./md.
Ingen binding og kan opsiges når som helst.
Beskrivelse af SQL in 24 Hours, Sams Teach Yourself
The straightforward, step-by-step approach shows students how to work with database structures, objects, queries, tables, and more. In just hours, they will be applying advanced techniques, including views, transactions, web connections, and powerful Oracle and SQL Server extensions. Every lesson builds on what students have already learned, giving them a rock-solid foundation for real-world success. Step-by-step instructions carefully walk students through the most common SQL tasks. Practical, hands-on examples show students how to apply what they learn. Quizzes and exercises help them test their knowledge and stretch their skills. Notes and tips point out shortcuts and solutions. Learn how toGǪ Define efficient database structures and objects GǣNormalizeGǥ raw databases into logically organized tables Edit relational data and tables with DML Manage transactions Write effective, well-performing queries Categorize, summarize, sort, group, and restructure data Work with dates and times Join tables in queries, use subqueries, and combine multiple queries Master powerful query optimization techniques Administer databases and manage users Secure databases and protect data Use views, synonyms, and the system catalog Extend SQL to the enterprise and Internet Master important Oracle and Microsoft extensions to ANSI SQL
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