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JDBC Programming with Java

Course content updated by LearnQuest
Price
1,170 USD
2 Days
EJJC-235
Classroom Training, Online Training
Oracle
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Date

  • Date: 9-Dec-2021 to 10-Dec-2021
    Time: 9AM - 5PM US Eastern
    Location: Virtual
    Language: English
    Delivered by: LearnQuest
    Price: 1,170 USD
  • Date: 17-Feb-2022 to 18-Feb-2022
    Time: 9AM - 5PM US Eastern
    Location: Virtual
    Language: English
    Delivered by: LearnQuest
    Price: 1,170 USD
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Course Description

Overview

This course is designed to provide students with the skills needed to develop solid Java applications using Java Data Base Connectivity (JDBC) to interact with relational databases such as Derby, DB2, Oracle, and Microsoft SQL Server. The default data base used for the class workshops is Derby.

This course can be delivered using Eclipse and MyEclipse Blue IDEs.

 

This course is one step in the following Learning Journey:

  1. Java - Core

Objectives

Upon completion of the JDBC Programming with Java course, students will be able to:
  • Use JDBC statements to process JDBC Result Sets
  • Manage JDBC exceptions
  • Use prepared statements
  • Call stored procedures
  • Understand how to configure type 2 and 4 JDBC drivers
  • Understand how enterprise Java works with JDBC

Audience

  • Java developers who need to read and update relational data bases using JDBC
  • Other IT personnel who need to interact with Java JDBC data base developers

Prerequisites

    • Basic Java programming skills
    • Basic understanding of relational databases
    • Basic understanding of Structured Query Language (SQL) statements
    • Basic understanding of Data Access Objects (DAOs) is helpful but not required

Topics

  • Introduction to Java Data Base Connectivity (JDBC)
    • What is JDBC?
    • JDBC versus Open Data Base Connectivity (ODBC)
    • JDBC Driver Types
    • How Does JDBC Work?
    • Using SQL Statements with JDBC
  • Connecting to a Data Base
    • The Driver Manager Class
    • Connecting to Data Bases Using JDBC
    • Data Base Connection Failures
    • Read-Only Connections
    • Closing the Connection
  • Executing SQL Part 1: Static SQL Statements
    • What Are Static SQL Statements?
    • Creating a Statement
    • Executing a Statement
    • Closing a Statement
  • JDBC Data Types
    • Mapping Data Types Between Java and the Data Base
    • Special SQL Data Types
    • Reading and Updating SQL Data
  • Result Sets Part 1: The Basics
    • What Are Result Sets?
    • When the Data Base Returns a Result Set
    • Positioning Within the Result Set
    • Reading Data from the Result Set
    • Returning Data Values from the Current Result Set Row
    • How to Check for Nulls
    • Closing a Result Set
  • Result Sets Part 2: More Features
    • Result Set Values
    • Fetching Data from Result Sets
    • Updating Data within Result Sets
  • Handling JDBC Exceptions
    • Catching SQL Errors
    • The SQL Exception
    • Handling SQL Warnings
    • Data Truncation when Reading, Writing, and Updating Data
  • Executing SQL Part 2: Prepared Statement Processing
    • What Are Prepared Statements?
    • Preparing a SQL Statement
    • Setting Input Parameters
    • Executing a Prepared Statement
    • Putting It All Together
    • What is Meta Data?
    • Reading Meta Data
    • Result Set Meta Data
    • Data Base Meta Data
    • JDBC Driver Meta Data
  • Escape Clauses
    • What are Escape Clauses?
    • JDBC Escape Clauses
    • Processing Escape Clauses
  • Executing SQL Part 3: Calling Stored Procedures
    • Calling Stored Procedures Using JDBC
    • Using Callable Statements
    • Stored Procedure Meta Data
  • JDBC Data Management
    • Data Management Issues
    • Maintaining Data Consistency
    • Handling Concurrent Threads
  • Executing SQL Part 4: More SQL Statement Features
    • What is Dynamic SQL?
    • Using Dynamic SQL
    • JDBC SQL Batch Processing
  • More on JDBC Drivers
    • Types of JDBC Drivers
    • Calling JDBC Drivers
    • Getting JDBC Driver Meta Data
    • Connection Timeouts
    • JDBC Trace Log
  • Enterprise JDBC
    • How JDBC Works with Enterprise Java
    • Defining Data Sources
    • Processing Row Sets
    • Connection Pooling
    • JDBC Events
  • 2020 Top 20 Training Industry Company - IT Training

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