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Books on the topic 'Database disaster recovery'

Author: Grafiati

Published: 5 June 2025

Last updated: 2 August 2025

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Consult the top 17 books for your research on the topic 'Database disaster recovery.'

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1

Elizabeth, O'Neil, ed. Database--principles, programming, and performance. 2nd ed. Morgan Kaufmann Publishers, 2001.

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2

Witten, I. H. Data mining: Practical machine learning tools and techniques with Java implementations. Morgan Kaufmann, 2000.

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3

Redbooks, IBM. Sap R/3 on DB2 for Os/390: Disaster Recovery. Ibm, 1999.

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4

Redbooks, IBM. Disaster Recovery With DB2 Udb for Z/os. IBM.Com/Redbooks, 2004.

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5

High availability and disaster recovery options for DB2 on Linux, Unix, and Windows / by Whei-Jen Chen ... [et al.]. 2nd ed. IBM, 2009.

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6

Virtualization for security: Including sandboxing, disaster recovery, high availability. Syngress Pub., 2009.

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7

Hoopes, John. Virtualization for Security: Including Sandboxing, Disaster Recovery, High Availability, Forensic Analysis, and Honeypotting. Elsevier Science & Technology Books, 2009.

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8

Database--principles, programming, performance. Morgan Kaufmann Publishers, 1994.

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9

O'Neil, Elizabeth, and Patrick O'Neil. Database: Principles, Programming, and Performance, Second Edition (The Morgan Kaufmann Series in Data Management Systems). 2nd ed. Morgan Kaufmann, 2000.

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10

Stern, Kent. Disaster Recovery for Exchange 2003 Databases. CodeCenters Training Press, 2006.

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11

Witten, Ian H., and Eibe Frank. Data Mining: Practical Machine Learning Tools and Techniques with Java Implementations (The Morgan Kaufmann Series in Data Management Systems). Morgan Kaufmann, 1999.

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12

Witten, Ian H., and Eibe Frank. Data Mining: Practical Machine Learning Tools and Techniques with Java Implementations. Elsevier Science & Technology Books, 1999.

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13

Witten, Ian H., and Eibe Frank. Data Mining: Practical Machine Learning Tools and Techniques, Second Edition. Elsevier Science & Technology Books, 2005.

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14

Witten, Ian H., Eibe Frank, Hall Mark A, and Christopher Pal. Data Mining: Practical Machine Learning Tools and Techniques. Elsevier Science & Technology Books, 2016.

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15

Data Mining: Practical Machine Learning Tools and Techniques. Elsevier Science & Technology Books, 2011.

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16

Kumar, YV Ravi. Oracle High Availability, Disaster Recovery, and Cloud Services: Explore RAC, Data Guard, and Cloud Technology. Apress, 2019.

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17

Cougias, Dorian, E. L. Heiberger, and Karsten Koop. The Backup Book: Disaster Recovery from Desktop to Data Center. Schaser-Vartan Books, 2003.

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