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Oracle Autonomous Database in Enterprise Architecture

You're reading from Oracle Autonomous Database in Enterprise Architecture Utilize Oracle Cloud Infrastructure Autonomous Databases for better consolidation, automation, and security

Product type Paperback

Published in Dec 2022

Publisher Packt

ISBN-13 9781801072243

Length 294 pages

Edition 1st Edition

Languages

SQL

Tools

Oracle E-Business Suite

Concepts

Databases

Authors (3):

Krishnakumar KM

Rashmi Panda

Bal Mukund Sharma

View More author details

Table of Contents (13) Chapters

Preface

1. Part 1 – Understanding Autonomous Database in OCI

2. Chapter 1: Introduction to Oracle's Autonomous Database FREE CHAPTER

3. Chapter 2: Autonomous Database Deployment Options in OCI

4. Part 2 – Migration and High Availability with Autonomous Database

5. Chapter 3: Migration to Autonomous Database

6. Chapter 4: ADB Disaster Protection with Autonomous Data Guard

7. Chapter 5: Backup and Restore with Autonomous Database in OCI

8. Chapter 6: Managing Autonomous Databases

9. Part 3 – Security and Compliance with Autonomous Database

10. Chapter 7: Security Features in Autonomous Database

11. Index

Why subscribe?

12. Other Books You May Enjoy

Autonomous database actions

Let’s start by exploring all the options on the autonomous database Overview page. Log in to the OCI portal using your own credentials, then click the Oracle Database option, and then Autonomous Database, as shown in Figure 6.1. Choose either Autonomous Transaction Processing, Autonomous Data Warehouse, or Autonomous JSON Database.

Figure 6.1 – Oracle Cloud database options

The autonomous database details are shown in Figure 6.2. This details page shows information such as Database Name, OCPU Count, and Storage, and it also has options to manage the database, starting with Start or Stop (depending on the database’s current status), and options for managing the database. We will be exploring each option in detail in this chapter.

Figure 6.2 – Autonomous database overview

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Authors (3)

Sharma

Sharma

Tushar Sharma has a master's degree specializing in data science from the International Institute of Information Technology, Bangalore. He works as a data scientist with Intel. In his previous job he used to work as a research engineer for a financial consultancy firm. His work involves handling big data at scale generated by the massive infrastructure at Intel. He engineers and delivers end to end solutions on this data using the latest machine learning tools and frameworks. He is proficient in R, Python, Spark, and mathematical aspects of machine learning among other things. Tushar has a keen interest in everything related to technology. He likes to read a wide array of books ranging from history to philosophy and beyond. He is a running enthusiast and likes to play badminton and tennis.

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Panda

Panda

Abinash Panda has been a data scientist for more than 4 years. He has worked at multiple early-stage start-ups and helped them build their data analytics pipelines. He loves to munge, plot, and analyze data. He has been a speaker at Python conferences. These days, he is busy co-founding a start-up. He has contributed to books on probabilistic graphical models by Packt Publishing.

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Krishnakumar KM

Krishnakumar KM

K M Krishna Kumar is a database administrator with 14 years of experience with Oracle Database (8i to 12c). He started his career in 2004 as an Oracle database administrator and has been working with Oracle Corporation for the last eight plus years. He has expertise in Oracle Database installation, patching, upgrades, migration, backup and recovery and high availability. He is also proficient in Oracle public, private and Hybrid cloud environments. He has performed many real-time production database installations, upgrades, and migrations and has delivered sessions on database upgrades through various channels. He is certified in Oracle 12c administration and has been a speaker in Oracle Open World, AIOUG and Sangam

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