Monday, April 8, 2013

Database Archiving: How to Keep Lots of Data for a Very Long Time (The MK/OMG Press)

Database Archiving: How to Keep Lots of Data for a Very Long Time (The MK/OMG Press)

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Product Description

With the amount of data a business accumulates now doubling every 12 to 18 months, IT professionals need to know how to develop a system for archiving important database data, in a way that both satisfies regulatory requirements and is durable and secure. This important and timely new book explains how to solve these challenges without compromising the operation of current systems. It shows how to do all this as part of a standardized archival process that requires modest contributions from team members throughout an organization, rather than the superhuman effort of a dedicated team.

* Exhaustively considers the diverse set of issues� legal, technological, and financial� affecting organizations faced with major database archiving requirements.

* Shows how to design and implement a database archival process that is integral to existing procedures and systems.

* Explores the role of players at every level of the organization� in terms of the skills they need and the contributions they can make.

* Presents its ideas from a vendor-neutral perspective that can benefit any organization, regardless of its current technological investments.

* Provides detailed information on building the business case for all types of archiving projects

Database Archiving: How to Keep Lots of Data for a Very Long Time (The MK/OMG Press) Review

For me, this book does not work.

First off, this book is very repetitive. The author keep repeating an explaining what he has already pointed out before.

The book is advertised as: "Presents its ideas from a vendor-neutral perspective that can benefit any organization". That is certainly correct. However, the lack of any vendor-specific technical detail condemns the book to being very abstract. That makes it less readable.

The author should have chosen a different approach. For example, he should have used anecdotes about what goes wrong. Then, he could have generalized from these anecdotes to his theory.

Sadly, the author has chosen to simply sum up his Theory of Database Archiving. That theory, by the way, is little more than stating the obvious ...

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