0

Explore Products

Best Sellers

New Releases

Books

Videos

Audiobooks

Free Learning

Oracle Goldengate 12c Implementers Guide

You're reading from Oracle Goldengate 12c Implementers Guide Leverage the power of real-time data access for designing, building, and tuning your GoldenGate Enterprise

Product type Paperback

Published in Jul 2015

Publisher

ISBN-13 9781785280474

Length 422 pages

Edition 1st Edition

Languages

Perl

Tools

GoldenGate

Concepts

Database Administration

Author (1):

John P Jeffries

View More author details

Table of Contents (16) Chapters

Preface

1. Getting Started FREE CHAPTER

2. Installing and Preparing GoldenGate

3. Design Considerations

4. Configuring Oracle GoldenGate

5. Configuration Options

6. Configuring GoldenGate for HA

7. Advanced Configuration

8. Managing Oracle GoldenGate

9. Performance Tuning

10. Troubleshooting GoldenGate

11. The Future of GoldenGate

A. GGSCI Commands

B. GoldenGate Installed Components

C. Acronyms

Index

Appendix B. GoldenGate Installed Components

GoldenGate is architecturally a simple product with relatively few installed components. This is one of the main reasons for its performance and flexibility. If you ever need to work with Oracle support, the following information will help you understand the individual elements of the GoldenGate architecture. Let's take a look at the software bundle that is installed on both the source and target database servers.

The following table lists the files and directories that make up the GoldenGate Home:

Sub-directories	Description
`deinstall`	This offers support for OUI
`diagnostics`	This offers support for OUI
`dirbdb`	This stores the GoldenGate datastore files
`dirchk`	This stores the GoldenGate checkpoint files
`dircrd`	This stores the GoldenGate Credential Store files
`dirdat`	This stores the GoldenGate trail files
`dirdef`	This stores the GoldenGate definition mapping files
`dirdmp`	This stores the GoldenGate process...

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 (1)

John P Jeffries

John P Jeffries

John P Jeffries has worked in many countries around the world, consulting on the Oracle technology. He is interested in different cultures and enjoys teaching others. At present, John lives and works in Singapore and is employed as a subject matter expert at a global bank, delivering enterprise-wide infrastructure design solutions, particularly in the database private cloud and data replication space. Since he wrote his first book, Oracle GoldenGate 11g Implementer's Guide, he has been heavily focused on leveraging Oracle's Fusion Middleware products (including GoldenGate) to address performance, data migration, and data delivery issues. With over 15 years of experience in Oracle, John has worked for a number of global organizations, such as BT, Siebel Systems, Dell, Thomson Reuters, and Oracle Corporation, to name a few. At Oracle, he worked in advanced customer services on key accounts as a senior principal consultant and became the UK data replication expert, often publishing articles on his own website (http://oracle11ggotchas.com/). John is an Oracle Certified Professional and a GoldenGate specialist. He gives presentations at ODTUG conferences and continues to share his real-life hands-on experience through his work. Known for his ability to provide robust, effective solutions and workarounds, John delivers his knowledge, tips, and tricks in his new book, Oracle GoldenGate 12c Implementer's Guide.

See other products by John P Jeffries

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

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

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

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

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

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