Structured Query Language For All Rdbms and Pl/Sql
Kriti Sinha
Sold by Gyan Books Pvt. Ltd., Delhi, India
AbeBooks Seller since March 9, 2011
New - Soft cover
Condition: New
Ships from India to U.S.A.
Quantity: Over 20 available
Add to basketSold by Gyan Books Pvt. Ltd., Delhi, India
AbeBooks Seller since March 9, 2011
Condition: New
Quantity: Over 20 available
Add to basketLanguage: English. ABOUT THE BOOK: Structured Query language for all RDBMS and PL/SQL (SQL, PL/SQL) book is indepth treatment of the SQL language for both technical and nontechnical users, programmers, IT Professionals or engineering students, who wants to do Oracle certification and want to understand the impact of SQL in computer market. This book offers a conceptual framework for understanding of PL/SQL. It will show you, stepbystep, how to use SQL and PL/SQL features, with many illustrations and realistic examples to clarify SQL and PL/SQL concepts. The book also compares SQL products from leading RDBMS vendors describing their advantages, benefits to help you select the right query (SQL Statement) for your application. So user can try them for themselves and gain actual experience in using major database products like Oracle, Microsoft SQL Server, My SQL, SQLLite, and MS Access. It has a chapter on "some important questions and answers" which will really help users to increase their knowledge and implement on Data base and also to face interviews. It has also a chapter on "Practice Set doing Oracle certification "which will really help user to increase their knowledge to do Oracle certification. ABOUT THE AUTHOR: Kriti Sinha is an Oracle certified DBA and IT Professional with 8+ years of work experience on Oracle, Microsoft SQL server and PL/SQL along with over 10 + years of experience in Teaching and training to IT professionals for SQL and PL/SQL. She is having Masters of Computer Application along with Oracle Certification for DBA and advanced PL/SQL programming. She is working on database SQL Server and Oracle since last 14 years". She likes reading books and keeps herself busy. CONTENTS: ?Acknowledgment and Dedications 11 Chapter 1 Introduction of RDBMS What is RDBMS? 13 1.1 RDBMS 1.2 Table 1.2.1 Max limit for number of column for single table 1.2.2 Properties of the Relational Tables 1.3 Field 1.4 Rows 1.5 Column Chapter 2 Normalization 17 2.1 Types of Normalization 2.1.1 First Normalization form 2.1.2 Second Normalization 2.1.3 Third Normalization 2.1.4 Boyce Codd Normal form 2.2 Benefit Of normalization 2.3 Drawbacks of Normalization 2.4 Relational Types Chapter 3 Introduction of Structured Query Language (SQL) 27 3.1 SQL revisions 3.2 SQL Process 3.3 Type of SQL 3.3.1 Data definition language 3.3.2 Data Manipulation language 3.3.3 Data control language 3.3.4 Transaction Control Language 3.3.5 Data Query Language Chapter 4 Data Types for Various RDBMS 33 4.1 Microsoft Access Data Types 4.2 MY SQL data Types 4.3 SQL server Data Types 4.4 Oracle Data Types Chapter 5 Data Definition Language 45 5.1 Create Table, 5.1.1 Syntax for My SQL 5.1.2 Syntax for SQL Server 5.1.3 Syntax for Microsoft Access 5.1.4 Syntax for Oracle 5.1.5 Creating table from an existing table 5.2 Alter 5.2.1 Alter Table, Column, Data Type and constraints 5.3 Drop 5.3.1 Drop table 5.3.2 Drop a Default constraint 5.4 Truncate Chapter 6 Integrity Constraints 59 6.1 Types of Integrity Constraints 6.2 Default Constraints Chapter 7 Data Manipulation Language 65 7.1 Insert 7.1.1 Insert Into 7.1.2 Insert Data only in specific Columns 7.1.3 Insert into remote data base 7.2 Update 7.3 Delete 7.3.1 Delete specific Data 7.3.2 Delete all data 7.3.3 Modifier for My SQL Delete statement 7.4 Merge Chapter 8 Synonymous 77 8.1 Types of synonyms Chapter 9 Data Control Language 81 9.1 Grant and Revoke. Chapter 10 Transaction Control Language 85 10.1 commit 10.2 Savepoint 10.3 Rollback Chapter 11 Data Query Language 89 11.1 Select 11.2 Order by 11.3 Group By 11.4 Having 11.5 Subquery 11.6 Subqueries with the insert statement 11.7 Subqueries with the Update statement 11.8 Subqueries with the Delete statement 11.9 Subqueries with EXISTS and NOT EXISTS 11.10 Correlated Sub Query Chapter 12 Functions 113 12.1 Aggregate functions 12.2 BuiltIn scalar functions 12.3 Numeric Functions 12.4 EXTRACT Function 12.5 MY SQL Date Parts Functions 12.6 String Functions 12.7 Vacuum 12.
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