0

Explore Products

Best Sellers

New Releases

Books

Videos

Audiobooks

Free Learning

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

Product type Paperback

Published in Jan 2016

Publisher

ISBN-13 9781785281273

Length 344 pages

Edition 1st Edition

Languages

SQL

Tools

SQL Developer

Concepts

Database Administration

Authors (2):

Susan Harper

Ajith Narayanan

View More author details

Table of Contents (16) Chapters

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

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.

Data source node

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...

The rest of the chapter is locked

Register for a free Packt account to unlock a world of extra content!

A free Packt account unlocks extra newsletters, articles, discounted offers, and much more. Start advancing your knowledge today.

Unlock this book and the full library FREE for 7 days

Get unlimited access to 7000+ expert-authored eBooks and videos courses covering every tech area you can think of

Start free trial

Renews at $19.99/month. Cancel anytime

Authors (2)

Susan Harper

Susan Harper

Sue Harper was a senior school mathematics and science teacher by profession. It was this teaching qualification that opened the door to Oracle in South Africa, where Sue started as a SQL, PL/SQL, SQL Forms, and Reports instructor in 1992. Before long she'd added Oracle Designer to her repertoire and soon left for the UK, to join the Designer curriculum development team. Sue was a course writer and then product manager for Oracle Designer for many years, traveling extensively meeting customers and training Oracle staff and instructors. Sue was later product manager for Oracle JDeveloper working with database and modeling tools in that product. Sue is currently product manager for Oracle SQL Developer, SQL Developer Data Modeler, and SQL Developer Migrations. Based at home, Sue works with her team, scattered around the world and customers, running web-based training sessions or helping with individual queries. She frequently attends conferences where she presents SQL Developer material and works with customers on their queries. Sue lives in West London, where she enjoys walking with her camera and her dog in the extensive local parks and further afield throughout the UK.

See other products by Susan Harper

Ajith Narayanan

Ajith Narayanan

Ajith Narayanan is the chief technology officer (CTO) of InfraStack-Labs in Bangalore, India, and has more than 11 years of work experience as an Oracle [apps] DBA and platform architect with expertise in infrastructure architecture, capacity planning, and performance tuning of medium to large e-business suite environments. He holds a postgraduate degree with PGDBA (finance) from Symbiosis, Pune, an M.S. (software systems) from BITS Pilani, a BE (electronics and communication) from Amrita Institute of Technology, and a diploma (computer technology) from Sree Narayana Guru Institute of Technology. He has worked in different technical positions as an Oracle DBA, APPS DBA, Oracle apps platform architect, and configuration management technical leader in companies such as GE, Dell, JP MorganChase, Oracle, and TCS. Ajith was at GE before joining InfraStack-Labs. He is also a regular speaker at national and international Oracle user group conferences such as SANGAM, NZOUG, DOAG, UKOUG, OTN APAC Tour, AIOUG Tech Days, and so on. His white papers have been published on the Oracle Technology Network in English, Portuguese, and Spanish. Ajith is currently serving the ORACLERACSIG board as the web seminar chair (from October 2015), and has previously served the board as the website chair (September 2011 to September 2013).

See other products by Ajith Narayanan

Personalised recommendations for you

Based on your interests and search pattern

Modern Computer Vision with PyTorch

Modern Computer Vision with PyTorch

This book provides a hands-on approach to solving over 30 prominent real-world computer vision problems using PyTorch 2.x on actual datasets. Here you'll learn to build a neural network from scratch and optimize hyperparameters, perform image classification, multi-object detection, segmentation, and more. You'll also explore facial expression manipulation and combining CV with NLP and RL techniques, build generative AI applications, and take your model to production on AWS. By the end of this book, you'll master modern NN architectures and confidently solve real-world CV problems.

Jun 2024 24h 52m

Modern Computer Vision with PyTorch

Modern Computer Vision with PyTorch

This book provides a hands-on approach to solving over 30 prominent real-world computer vision problems using PyTorch 2.x on actual datasets. Here you'll learn to build a neural network from scratch and optimize hyperparameters, perform image classification, multi-object detection, segmentation, and more. You'll also explore facial expression manipulation and combining CV with NLP and RL techniques, build generative AI applications, and take your model to production on AWS. By the end of this book, you'll master modern NN architectures and confidently solve real-world CV problems.

Jun 2024 24h 52m

Data Governance Handbook

Data Governance Handbook

This book provides a highly focused view of real business outcomes powered by data governance, that resonate with non-data executives such as CFOs and CEOs. You'll also find useful insights into how to implement data governance initiatives.

May 2024 13h 8m

Data Engineering with Databricks Cookbook

Data Engineering with Databricks Cookbook

This book shows you how to use Apache Spark, Delta Lake, and Databricks to build data pipelines, manage and transform data, optimize performance, and more. Additionally, you'll implement DataOps and DevOps practices, and orchestrate data workflows.

May 2024 14h 36m

Azure Data Engineer Associate Certification Guide

Azure Data Engineer Associate Certification Guide

Unlock the power of Azure data engineering with this certification guide, elevating your skills in data processing, storage, and security with the help of practical insights, hands-on exercises, and the latest advancements.

May 2024 18h 16m

Microsoft Power BI Cookbook

Microsoft Power BI Cookbook

Microsoft Power BI is the most sought-after platform for BI professionals' visualization needs. Explore the latest Power BI features, future AI enhancements, and integration with other Power Platform tools via new recipes in this updated edition.

Jul 2024 19h 56m

Python Data Cleaning Cookbook

Python Data Cleaning Cookbook

The book shows you how to clean, wrangle, and view data from multiple perspectives, including dataset and column attributes. You will cover common and not-so-common challenges that are faced while cleaning messy data for complex situations and learn to manipulate data to get it down to a form that can be useful for making the right decisions.

May 2024 16h 12m

Microsoft Azure AI Fundamentals AI-900 Exam Guide

Microsoft Azure AI Fundamentals AI-900 Exam Guide

This AI-900 study guide will help you prepare and practice for the certification exam. You'll delve into AI workloads, ML principles, computer vision, NLP, knowledge mining, and generative AI using Azure cloud services.

May 2024 9h 36m

Using Stable Diffusion with Python

Using Stable Diffusion with Python

This book shows you how to use Python to control Stable Diffusion and generate high-quality images. In addition to covering the basic usage of the diffusers package, the book provides solutions for extending the package for more advanced purposes.

Jun 2024 11h 44m

Getting Started with DuckDB

Getting Started with DuckDB

This hands-on book teaches you to analyze large datasets with blazing speed and ease. You will learn how to use DuckDB to quickly load, query, transform, analyze, and visualize data effectively through a series of practical examples.

Jun 2024 12h 44m

Databricks Certified Associate Developer for Apache Spark Using Python

Databricks Certified Associate Developer for Apache Spark Using Python

This guide gets you ready for certification with expert-backed content, key exam concepts, and topic reviews. Additionally, you'll be able to make the most of Apache Spark 3.0 to modernize workloads and more using specific tools and techniques.