Database Archiving: How to Keep Lots of Data for a Very Long Time
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
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Establishing a Database Archiving Project
Designing Database Archiving Applications
Database Archiving Application Software
Administration of the Database Archive
Generic Archiving Checklist
activities amount of data application programs archive administrator archive analyst archive data store archive database archive extract archive objects archive repository archive store archive stream archiving project archiving system audit trail authority backup business intelligence business objects chapter column complete component copies created custom archive DBMS data archiving data archivist data elements data management data model data objects data quality data source data structures data volumes data warehouse database administrator database archiving application database data DBMSs definition deleted determine discard policy disk storage documents ensure enterprise example execution external indexes extractor Figure function identify impact implemented important inactive data JDBC keep data lawsuit metadata break multiple normally old data operational database operational environment operational systems problem protection records reference relational database request retention period rows selection criteria specific strategy tion transaction UNLOAD files update vendor