ILM – Data archiving
Today I’ll share some of thoughts on data archiving in. if you are a newbie to data archiving then I hope the below will be useful 🙂
The big challenge for administrators is determining what data to keep and what to get rid of, before encountering problems such as data overflow, longer transaction processing times, and performance degradation.
So let me first say about the general concept of archive 😉 – archive its nothing but keeping your old/history data in to some place means like similar way of backup of data. In computer you will archive some of your data it was old/if you want that data for later retrieval you will copy to some hard disk storage.
If you are professional that definitely you could have done this , you have been using office outlook and some time your outlook pops up with the message says that your mailbox size is full. So what some of them will do they will delete some unwanted mails, and some thought no i need to preserve my data/mails in outlook. Then you are going for archiving your outlook, by archiving the old mail and keeping it as PST file in some location.
Goal of Data archiving 🙂
Most of the business have the challenge of determining what data to keep and what to get rid of, before encountering problems such as data overflow, longer transaction processing times, and performance degradation.
Data archiving is becoming an important business process that is used to keep enterprise systems functioning at by moving outdated data files from system to offline or near online data stores. The primary goal of data archiving is to preserve valuable data for later.
Prerequisites and action items: 😕
Below are some of the considerations,
- What is the stuff of archival and how long must the data be retained before deletion?
- What determines whether the data is current and must be kept live?
- How is storage architected in the enterprise, what growth plans are in place and
- What business continuity and recovery solutions are in place
- How to safe guard the data against unauthorized access?
- How the archived data will be retained after some upgrade to the system
- Time lines of archive data whether business wants to do it on daily, weekly, monthly or quarterly?
- At what location will the archive be stored on-site at the data center, off-site at a backup location or moved to cold storage elsewhere?
Successful implementation of data archiving 😀
Below are the certain criteria for that
- It Improve performance of the active transactional database system.
- Protect data from corruption, loss or unauthorized access.
- Reduce overall storage costs.
- Automate most of the process, reducing the administrative burden.
- Provide reporting capabilities for validation needs.
- Ease the retrieval of archived data.
- Handle application upgrades or changes that affect the archived dataset.
- Automatically retire data that is no longer needed.
I hope the below info is use full and in next blog i’ll share more technical ideas related to data archiving