Get Free Shipping on orders over $79
JDBC : Practical Guide for Java Programmers - Gregory Speegle

JDBC

Practical Guide for Java Programmers

By: Gregory Speegle

Paperback | 1 August 2001

At a Glance

Paperback


$124.75

or 4 interest-free payments of $31.19 with

 or 

Ships in 15 to 25 business days

1 - Introduction to JDBC


1.1 An Analogy

1.2 Connection/Statement Example

1.3 Example Database

1.4 Analogy Continued

1.5 Simple Example
1.6 API Summary

1. 7 Going Beyond


2 - Presenting I nformation to Users

2.1 JTables

2.2 JTable Example with Abstract Table Model

2.3 JDBC 2.0 ResultSets

2.4 Serializing ResultSets

2.5 API Summary

2.6 Going Beyond


3 - Querying the Database

3.1 Prepar ed Statements

3.2 CallableStatements

3.3 Summary API

3.4 Goi ng Beyond


4 - Updating the Data base

4.1 Simple Updates
<BR id
Industry Reviews
"A highly useful reference for students, educators, and professionals alike, who are learning to use JAVA and JDBC for interconnecting and using databases. The real world analogies and JDBC examples presented throughout the text direct the reader to the essential elements required to make the Java database connection function seamlessly within a user's application. I found the book easy to read, informative, and a great addition to standard course texts." -- Dr. Paul J. Fortier, University of Massachusetts--Dartmouth

More in Web Programming

Building Microservices : Designing Fine-Grained Systems 2nd Edition - Sam Newman
Python All-in-One For Dummies : 3rd Edition - Alan Simpson

RRP $74.95

$55.75

26%
OFF
Web Engineering : Theory and Practice - Jeremiah Downey
The Art of SEO : Mastering Search Engine Optimization - Eric Enge
PHP, MySQL, & JavaScript All-In-One For Dummies : For Dummies - Richard Blum
Information Architecture : For the Web and Beyond : 4th Edition - Jorge Arango
Learning Go : An Idiomatic Approach to Real-World Go Programming - Jon Bodner
Python Cookbook : Recipes for Mastering Python : 3rd Edition - David Beazley
Developing Graphics Frameworks with Java and OpenGL - Lee Stemkoski
Python for Finance 2e : Mastering Data-Driven Finance - Yves Hilpisch