Data Protection: Ensuring Data Availability, 2nd Edition

Data Protection: Ensuring Data Availability, 2nd Edition
By 作者: Preston de Guise
Pages 页数: 422 pages
Publisher Finelybook 出版社: Auerbach Publications; 2 edition (May 19, 2020)
Language 语言: English
ISBN-10 书号:0367474107
ISBN-13 书号:9780367474102
ISBN: 9780367256777

Book Description to Finelybook sorting
The second edition of Data Protection goes beyond the traditional topics including deduplication, continuous availability, snapshots, replication, backup, and recovery, and explores such additional considerations as legal, privacy, and ethical issues. A new model is presented for understanding and planning the various aspects of data protection, which is essential to developing holistic strategies. The second edition also addresses the cloud and the growing adoption of software and function as a service, as well as effectively planning over the lifespan of a workload: what the best mix of traditional and cloud native data protection services might be. Virtualization continues to present new challenges to data protection, and the impact of containerization is examined.
The book takes a holistic, business-based approach to data protection. It explains how data protection is a mix of proactive and reactive planning, technology, and activities that allow for data continuity. There are three essential activities that refer to themselves as data protection; while they all overlap in terms of scope and function, each operates as a reasonably self-contained field with its own specialists and domain nomenclature. These three activities are:

Data protection as a storage and recovery activity
Data protection as a security activity
Data protection as a privacy activity
These activities are covered in detail, with a focus on how organizations can use them to leverage their IT investments and optimize costs. The book also explains how data protection is becoming an enabler for new processes around data movement and data processing.
This book arms readers with information critical for making decisions on how data can be protected against loss in the cloud, on premises, or in a mix of the two. It explains the changing face of recovery in a highly virtualized datacenter and techniques for dealing with big data. Moreover, it presents a model for where data recovery processes can be integrated with IT governance and management in order to achieve the right focus on recoverability across the business.
Chapter 1 Introduction
Chapter 2 Contextualizing Data Protection
Chapter 3 Data Lifecycle
Chapter 4Elements of a Protection System
Chapter 5 IT Governance and Data Protection
Chapter 6 Monitoring and Reporting
Chapter 7 Business Continuity
Chapter 8 Data Discovery
Chapter 9 Security,Privacy,Ethical,and Legal Considerations
Chapter 10 Continuous Availability,Replication,and CDP
Chapter 11 Snapshots
Chapter 12 Backup and Recovery
Chapter 13 Deduplication
Chapter 14 The Cloud
Chapter 15 Protecting Virtual Infrastructure
Chapter 16 Big Data
Chapter 17 Protecting the Edge
Chapter 18 Data Storage Fault Tolerance
Chapter 19 Tape
Chapter 20 Converged Infrastructure
Chapter 21 Data Protection Service Catalogs
Chapter 22 Holistic Data Protection Strategies
Chapter 23 Making Data Protection Smarter
Chapter 24 Data Recovery
Chapter 25 Long-Term Retention Considerations
Chapter 26 Choosing Protection Infrastructure
Chapter 27 The Impact of Flash on Data Protection
Chapter 28 In Closing
Appendix A:Glossary of Terms
Appendix B:Notes on Self-Reflection


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