Read e-book online Database archiving: how to keep lots of data for a very long PDF

By Jack E. Olson

ISBN-10: 0123747201

ISBN-13: 9780123747204

With the quantity of knowledge a enterprise accumulates now doubling each 12 to 18 months, IT pros want to know the way to increase a process for archiving very important database info, in a fashion that either satisfies regulatory requisites and is sturdy and safe. this significant and well timed new e-book explains the best way to clear up those demanding situations with no compromising the operation of present structures. It indicates tips on how to do all this as a part of a standardized archival method that calls for modest contributions from staff contributors all through a company, instead of the superhuman attempt of a devoted workforce.

* Exhaustively considers the varied set of issues―legal, technological, and financial―affecting companies confronted with significant database archiving requirements.

* exhibits the best way to layout and enforce a database archival approach that's indispensable to latest systems and systems.

* Explores the position of gamers at each point of the organization―in phrases of the abilities they want and the contributions they could make.

* offers its principles from a vendor-neutral viewpoint which could gain any association, despite its present technological investments.

* presents exact details on construction the enterprise case for every type of archiving initiatives

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Additional info for Database archiving: how to keep lots of data for a very long time

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They can spend an increasing amount of their time dealing with technical short-term solutions such as partitioning data in ever more partitions, reallocating space, redesigning data structures, and other approaches that work but which all have a disruptive cost and carry a risk of an unwanted outage. 3 Data Volume Issues An alternative is for the application manager to implement a sound database archiving solution that will almost always clean out enough data to make the current physical architecture of the application’s operational database sufficient for years to come.

To do most extracts, the process requires a scan (reading of the entire database). It just takes longer the larger the database. Although load functions might not need to touch every data page, the process is slowed by having to find free space. In addition, you often want to create an image copy of a database after each load execution. This will cost more time, space, and money if the database has significant amounts of inactive data. Recovery from system failures System failures that require restoring an image copy and then playing the log forward from that point to get a consistent state will certainly take a larger database more time to recover from than a smaller one.

Event stop times A second category of retention times is expressed in terms of a stopping event—for example, if you are saving documentation on a purchase of a home and subsequent home improvements made and paid for, in the event you sell your home. The retention period may be expressed as seven years after the sale of the home. This gives you time to file any tax forms for the capital gain (or loss) plus the period up to the IRS “doesn’t care anymore” time. If you are in the business of buying and selling homes for profit, this would be a good statement of when you can destroy documentation.

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Database archiving: how to keep lots of data for a very long time by Jack E. Olson


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