Tag Archives: archive
In my previous blog, I looked at the need among enterprises for application retirement. But, what kind of software solution is best for supporting effective application retirement?
It’s important to realise that retirement projects might start small, with one or two applications, and then quickly blossom into full-fledged rationalisation initiatives where hundreds of dissimilar applications are retired. So relying on individual applications or database vendors for tools and support can easily lead to a fragmented and uneven retirement strategy and archiving environment. In any event, some major application vendors offer little or even no archiving capabilities. (more…)
In a recent InformationWeek blog, “Big Data A Big Backup Challenge”, George Crump aptly pointed out the problems of backing up big data and outlined some best practices that should be applied to address them, including:
- Identifying which data can be re-derived and therefore doesn’t need to be backed up
- Eliminating redundancy, file de-duplication, and applying data compression
- Using storage tiering and the combination of online disk and tapes to reduce storage cost and optimize performance (more…)
I had the good fortune to work in the information services department at UMass Memorial Healthcare for several years prior to joining Informatica. It was pretty clear when I was there that the investments UMass Memorial was making in information systems was the future direction of healthcare everywhere, and that the lessons being learned there had applicability across the broader healthcare market. Since joining Informatica, I have had the opportunity to meet with a wide cross section of our healthcare customers and prospects, and I can confirm that this is in-fact absolutely true. A good case in point is the recent discussion I had with Karen Marhefka, Associate CIO at UMass Memorial, about the challenges of poor data quality and the adverse impact this can have on migrating existing data to new applications. (more…)
One aspect of an Information Lifecycle Management (ILM) project that often gets overlooked is deleting data. Once information has reached the end of its usefulness, delete it. It is the single-most cost effective task you can execute on an ILM project. If you don’t have the data, you don’t have to store it, manage it, or worry about it getting into the wrong hands. Delete it.