Tag Archives: archive

What is In-Database Archiving in Oracle 12c and Why You Still Need a Database Archiving Solution to Complement It (Part 1)

What is the new In-Database Archiving in the latest Oracle 12c release?

On June 25, 2013, Oracle introduced a new feature called In-Database Archiving with its new release of Oracle 12.  “In-Database Archiving enables you to archive rows within a table by marking them as inactive. These inactive rows are in the database and can be optimized using compression, but are not visible to an application. The data in these rows is available for compliance purposes if needed by setting a session parameter. With In-Database Archiving you can store more data for a longer period of time within a single database, without compromising application performance. Archived data can be compressed to help improve backup performance, and updates to archived data can be deferred during application upgrades to improve the performance of upgrades.”

This is an Oracle specific feature and does not apply to other databases.

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Posted in Application ILM, Data Archiving, Data Governance, Governance, Risk and Compliance | Tagged , , , , , | Leave a comment

Application Retirement – Preserving the Value of Data (Part Two)

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…)

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Posted in Application ILM, Application Retirement, Data Archiving | Tagged , , , , | Leave a comment

Addressing the Big Data Backup Challenge with Database Archiving

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…)
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Posted in Application Retirement, Database Archiving, Financial Services, Governance, Risk and Compliance, Healthcare, Operational Efficiency, Public Sector, Telecommunications | Tagged , , , , | Leave a comment

I Don’t Like Rotten Applesauce

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…)

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Posted in Data Migration, Data Quality, Healthcare, Profiling | Tagged , , , , | Leave a comment

Keeping Too Much Data? Delete It!

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.

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Posted in Application ILM, Business/IT Collaboration, Data Governance, Data Warehousing, Database Archiving, Operational Efficiency | Tagged , , , , , , , , , , | Leave a comment