國立虎尾科技大學 |

Pro Oracle Database 23ai administration = manage and safeguard your organization's data /

紀錄類型:	書目-語言資料,印刷品 : Monograph/item
正題名/作者:	Pro Oracle Database 23ai administration/ by Michelle Malcher, Darl Kuhn.
其他題名:	manage and safeguard your organization's data /
作者:	Malcher, Michelle.
其他作者:	Kuhn, Darl.
出版者:	Berkeley, CA :Apress : : 2024.,
面頁冊數:	xxvi, 600 p. :ill. (some col.), digital ; : 24 cm.;
Contained By:	Springer Nature eBook
標題:	Database management. -
電子資源:	https://doi.org/10.1007/979-8-8688-1038-1
ISBN:	9798868810381

Pro Oracle Database 23ai administration = manage and safeguard your organization's data /
Malcher, Michelle.

Pro Oracle Database 23ai administrationmanage and safeguard your organization's data /[electronic resource] :by Michelle Malcher, Darl Kuhn. - Fifth edition. - Berkeley, CA :Apress :2024. - xxvi, 600 p. :ill. (some col.), digital ;24 cm.

1. Installing the Oracle Binaries -- 2. Creating a Database -- 3. Configuring an Efficient Environment -- 4. Tablespaces and Data Files -- 5. Managing Control Files, Online Redo Logs and Archivelogs -- 6. Users and Basic Security -- 7. Tables and Constraints -- 8. Indexes -- 9. Views, Duality Views and Materialized Views -- 10. Data Dictionary Fundamentals -- 11. Large Objects -- 12. Containers and Pluggables -- 13. RMAN Backups and Reporting -- 14. RMAN Restore and Recovery -- 15. External Tables -- 16. Automation and Troubleshooting -- 17. Migration to Multitenant and Fleet Management -- 18. Data Management.

Master Oracle Database administration in both on-premises and cloud environments. This new edition covers the tasks you'll need to perform to keep your databases tuned and performing, and includes new, important innovations with AI Vector Search, JSON Duality Views, and Select AI. Since Oracle Database 23ai offers a choice of platforms with on-premises and cloud, the book also includes administrative tasks specific to cloud environments, including the Oracle Autonomous Database running in the Oracle Cloud Infrastructure. New in this edition is help for DBAs who are becoming involved in data management, and a look at the idea of a converged database and what that means in handling various data types and workloads. The book covers some of the machine learning features now in Oracle and shows how the same SQL that you know for database administration also helps you with data management tasks. The information in this book helps you to apply the right solution at the right time, mitigating risk and making robust choices that protect your data and avoid midnight phone calls. Data management is increasingly a DBA function, and DBAs are often called upon for help in getting data loaded into analytics environments such as a data lakehouse or a data mesh. This book addresses this fast-growing new role for database administrators and helps you build on your existing knowledge to make the transition into a new skill set that is in high demand. You'll learn how to look at data optimization from the standpoint of data analysis and machine learning so that you can be seen as a key player in preparing your organization's data for those type of activities. You'll know how to pull back information from a combination of relational tables and JSON structures. You'll become familiar with the tools that Oracle Database provides to make analytics easier and more straightforward. And you'll learn simpler ways to manage time-based tables that eliminate the need for painfully creating triggers to track the history of row changes over time. This book builds your skills as an Oracle Database administrator with the aim of helping you to be seen as a key player in data management as your organization pivots toward cloud computing and a greater use of machine learning and analytics technologies. What You Will Learn Configure and manage Oracle 23ai databases both on-premises and in the cloud Meet your DBA responsibilities in the Oracle Cloud and with Database Cloud Services Leverage converged database capabilities to manage different workloads, structured and unstructured data Perform administrative tasks for Autonomous Database dedicated environments Perform DBA tasks and effectively use data management tools Migrate from on-premises to the Oracle Cloud Infrastructure Troubleshoot issues with Oracle 23ai databases and quickly solve performance problems Architect cloud, on-premises, hybrid, and multi-cloud database environments.

ISBN: 9798868810381

Standard No.: 10.1007/979-8-8688-1038-1doiSubjects--Uniform Titles:

Oracle (Computer file)
Subjects--Topical Terms:

557799
Database management.

LC Class. No.: QA76.9.D3

Dewey Class. No.: 005.74

Pro Oracle Database 23ai administration = manage and safeguard your organization's data /
LDR:04647nam a2200337 a 4500 001 1154195
003 DE-He213
005 20241227115243.0
006 m d
007 cr nn 008maaau
008 250619s2024 cau s 0 eng d
020 $a 9798868810381 $q (electronic bk.)
020 $a 9798868810374 $q (paper)
024 7 $a 10.1007/979-8-8688-1038-1 $2 doi
035 $a 979-8-8688-1038-1
040 $a GP $c GP
041 0 $a eng
050 4 $a QA76.9.D3
072 7 $a UN $2 bicssc
072 7 $a COM021000 $2 bisacsh
072 7 $a UN $2 thema
082 0 4 $a 005.74 $2 23
090 $a QA76.9.D3 $b M242 2024
100 1 $a Malcher, Michelle. $3 1104426
245 1 0 $a Pro Oracle Database 23ai administration $h [electronic resource] : $b manage and safeguard your organization's data / $c by Michelle Malcher, Darl Kuhn.
250 $a Fifth edition.
260 $a Berkeley, CA : $b Apress : $b Imprint: Apress, $c 2024.
300 $a xxvi, 600 p. : $b ill. (some col.), digital ; $c 24 cm.
505 0 $a 1. Installing the Oracle Binaries -- 2. Creating a Database -- 3. Configuring an Efficient Environment -- 4. Tablespaces and Data Files -- 5. Managing Control Files, Online Redo Logs and Archivelogs -- 6. Users and Basic Security -- 7. Tables and Constraints -- 8. Indexes -- 9. Views, Duality Views and Materialized Views -- 10. Data Dictionary Fundamentals -- 11. Large Objects -- 12. Containers and Pluggables -- 13. RMAN Backups and Reporting -- 14. RMAN Restore and Recovery -- 15. External Tables -- 16. Automation and Troubleshooting -- 17. Migration to Multitenant and Fleet Management -- 18. Data Management.
520 $a Master Oracle Database administration in both on-premises and cloud environments. This new edition covers the tasks you'll need to perform to keep your databases tuned and performing, and includes new, important innovations with AI Vector Search, JSON Duality Views, and Select AI. Since Oracle Database 23ai offers a choice of platforms with on-premises and cloud, the book also includes administrative tasks specific to cloud environments, including the Oracle Autonomous Database running in the Oracle Cloud Infrastructure. New in this edition is help for DBAs who are becoming involved in data management, and a look at the idea of a converged database and what that means in handling various data types and workloads. The book covers some of the machine learning features now in Oracle and shows how the same SQL that you know for database administration also helps you with data management tasks. The information in this book helps you to apply the right solution at the right time, mitigating risk and making robust choices that protect your data and avoid midnight phone calls. Data management is increasingly a DBA function, and DBAs are often called upon for help in getting data loaded into analytics environments such as a data lakehouse or a data mesh. This book addresses this fast-growing new role for database administrators and helps you build on your existing knowledge to make the transition into a new skill set that is in high demand. You'll learn how to look at data optimization from the standpoint of data analysis and machine learning so that you can be seen as a key player in preparing your organization's data for those type of activities. You'll know how to pull back information from a combination of relational tables and JSON structures. You'll become familiar with the tools that Oracle Database provides to make analytics easier and more straightforward. And you'll learn simpler ways to manage time-based tables that eliminate the need for painfully creating triggers to track the history of row changes over time. This book builds your skills as an Oracle Database administrator with the aim of helping you to be seen as a key player in data management as your organization pivots toward cloud computing and a greater use of machine learning and analytics technologies. What You Will Learn Configure and manage Oracle 23ai databases both on-premises and in the cloud Meet your DBA responsibilities in the Oracle Cloud and with Database Cloud Services Leverage converged database capabilities to manage different workloads, structured and unstructured data Perform administrative tasks for Autonomous Database dedicated environments Perform DBA tasks and effectively use data management tools Migrate from on-premises to the Oracle Cloud Infrastructure Troubleshoot issues with Oracle 23ai databases and quickly solve performance problems Architect cloud, on-premises, hybrid, and multi-cloud database environments.
630 0 0 $a Oracle (Computer file) $3 569317
650 0 $a Database management. $3 557799
650 0 $a Relational databases. $3 555903
650 0 $a Artificial intelligence. $3 559380
650 1 4 $a Database Management. $3 669820
700 1 $a Kuhn, Darl. $3 792342
710 2 $a SpringerLink (Online service) $3 593884
773 0 $t Springer Nature eBook
856 4 0 $u https://doi.org/10.1007/979-8-8688-1038-1
950 $a Professional and Applied Computing (SpringerNature-12059)