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Oracle SQL Developer

You're reading from   Oracle SQL Developer Learn Database design, development,and administration using the feature-rich SQL Developer 4.1 interface

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Product type Paperback
Published in Jan 2016
Publisher
ISBN-13 9781785281273
Length 344 pages
Edition 1st Edition
Languages
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Authors (2):
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Susan Harper Susan Harper
Author Profile Icon Susan Harper
Susan Harper
Ajith Narayanan Ajith Narayanan
Author Profile Icon Ajith Narayanan
Ajith Narayanan
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Toc

Table of Contents (16) Chapters Close

Preface 1. Getting Started with SQL Developer 4.1 FREE CHAPTER 2. Database Connections and SQL Worksheet 3. The Power of SQL Reports 4. Working with PL/SQL 5. SQL Developer for DBAs 6. SQL Developer Accessibility 7. Importing, Exporting, and Working with Data 8. Database Connections and JDBC Drivers 9. Introducing SQL Developer Data Modeler 10. Extending SQL Developer 11. Working with Application Express 12. Working with SQL Developer Migrations 13. Oracle Data Miner 4.1 14. REST Data Services and REST Development Index

Chapter 13. Oracle Data Miner 4.1

The data mining process just means extracting relevant information from the tons of available data in the database. The relevance of data is with respect to the problem statement of any particular project. Data miner in SQL Developer 4.1 has enhanced features, and though it is significant to touch upon the new features that can be useful for emerging technologies and the users, in this chapter we will be discussing all the new features provided with the Data Miner tool and also the general enhancements in and around the tool. One of the most relevant and significant additions to the data mining capability is the growing popularity of JSON data and its use in Big Data configuration. Data Miner now provides an easy-to-use JSON Query node. In this chapter, we will start off with data source node preparation.

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