Book Image

Oracle SQL Developer

By : Susan Harper
Book Image

Oracle SQL Developer

By: Susan Harper

Overview of this book

At times, DBAs support 100s of databases at work. In such scenarios, using a command-line tool like putty adds to the difficulty, while SQL Developer makes the life of a developer, DBA, or DB architect easier by providing a graphical user interface equipped with features that can bolster and enhance the user experience and boost efficiency. Features such as DBA panel, Reports, Data Modeler, and Data Miner are just a few examples of its rich features, and its support for APEX, REST Services, timesten, and third-party database drivers demonstrate its extensibility. You may be a newbie to databases or a seasoned database expert, either way this book will help you understand the database structure and the different types of objects that organize enterprise data in an efficient manner. This book introduces the features of the SQL Developer 4.1 tool in an incremental fashion, starting with installing them, making the database connections, and using the different panels. By sequentially walking through the steps in each chapter, you will quickly master SQL Developer 4.1.
Table of Contents (21 chapters)
Oracle SQL Developer
Credits
About the Author
About the Reviewer
www.PacktPub.com
Preface
11
Working with Application Express
Index

Data source node


As a first step, to invoke the data miner tool within SQL Developer, the next screenshot explains the data miner architecture diagrammatically. Data Miner by default is integrated into SQL Developer since version 2.0 and when invoked from Tools | Data Miner, it checks for the Data Miner repository.

As a prerequisite, Oracle Enterprise Edition is required to hold the Data Miner Repository under the schema called ODMRS.

  • Oracle Database Enterprise Edition will have all the services required to support Oracle Data Miner.

  • Oracle Data Miner is a part of Oracle Advanced Analytics option to Oracle Database EE. Oracle Data Miner helps us in model building, testing, and scoring capabilities for Data Miner.

  • Oracle XML DB provides services to manage the Data Miner repository metadata, such as the details of the workflow specifications.

  • Oracle Scheduler provides the engine for scheduling the Data Miner workflows.

  • Oracle Text provides the necessary services required to support Text Mining.

    Tip...