Database Archiving As A Vital Factor Of Information Lifecycle Management (ILM) Article

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Database archiving as a Vital Factor of Information Lifecycle Management (ILM)

In the face of exploding data filling up servers in the world over, information lifecycle management has become complicated to be implemented efficiently. Database archiving helps in managing data effectively; releasing data is rarely used or redundant to other cost-effective storage mediums.

Author: Hemal Shrimanker

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Information lifecycle management (ILM) has evolved to define an approach for data management and cost-effective storage medium over time, based on its value for business. Database archiving is also pivotal for ILM as it helps eliminate redundant data stored in the production server. Data kept in storage networks have a defined lifecycle which is associated with the way information travels through an organization from its beginning till its removal. Data is usually stored in structured relational databases, semi-structured databases (emails), and unstructured databases (documents and graphics). Huge databases pose some very definite problems for information lifecycle management.

Large enterprises today are neck-deep with information flooded from all directions in their respective storage mediums. Unused data is continually eating up resources, and gobbling up the organization’s profits. Megabytes gave way to gigabytes, gigabytes have acceded to terabytes, and in the near future, terabytes is sure to escalate to petabytes. The data is growing relentlessly with organizations waking up to the reality of data explosion. The latest data retention clauses for pharmaceutical companies are at least 20 years while nuclear facilities will have to hoard data for 50 years. Database archiving helps in reducing costs, retaining data, and also aids in complying with regulation procedures.

Database archiving plays an important role in implementing ILM in a complex relational database. Removal of rarely accessed data releases the processing power and improves application performance and efficiency. Purging of irrelevant data also helps in implementation of new applications in the present hardware itself, without adding to any or little overheads. Additionally scheduled archiving releases a huge amount of disk space which is then utilized for other uses saving millions in software or hardware upgrades. Archiving provides a worthwhile solution to the data explosion problem, while cutting on the Total Cost of Ownership (TCO).

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Database archiving as a Vital Factor of Information Lifecycle Management (ILM)