When is data less valuable? How do you manage data as it becomes less valuable?

In the good old days the answer to these questions was easy; it was simply based on what the company was willing to pay for relatively expensive onsite disk space. So while a company might prefer to keep data around as long as possible, the realty was always more of what is the bare minimum the company could afford to keep and was willing to pay for space to house that data. Back then this was not a major tradeoff because we did not have data scientists or data analytics plus business intelligence was in its relative infancy. Below is a simple diagram of a data life cycle management schema that smart DBAs might have implemented. That was then.


Nowadays the businesses see data as a leading differentiator and worth its weight in gold. Hence they want to keep as much data accessible online as possible, within reasonable cost. With much lower disk costs these days plus tiered cloud storage options, the amount of data practically possible to maintain online is arguably near unlimited. Of course that’s not a very legitimate answer since we also need to maintain certain performance service level agreements (SLAs). But today a DBA might have to maintain four to ten times as much historical data to meet the new data driven business requirements, including regulatory and compliance needs. Undoubtedly the data life cycle management picture above is not the optimal solution. For example on Amazon Cloud you might implement something along these lines.

About the Author

Bert Scalzo

Bert Scalzo is a guest-blogger for Quest and a renowned database expert, Oracle® ACE, author, database technology consultant, and formerly a member of Dell Software’s TOAD dev team. With three decades of Oracle® database experience to draw on, Bert’s webcasts garner high attendance and participation rates. His work history includes time at both Oracle Education and Oracle Consulting. Bert holds several Oracle Masters certifications and has an extensive academic background that includes a BS, MS and Ph.D. in computer science, as well as an MBA, and insurance industry designations. Bert is a highly sought-after speaker who has presented at numerous Oracle conferences and user groups, including OOW, ODTUG, IOUG, OAUG, RMOUG and many others. Bert enjoys sharing his vast knowledge on data modeling, database benchmarking, database tuning and optimization, "star schema" data warehouses, Linux® and VMware®. As a prolific writer, Bert has produced educational articles, papers and blogs for such well-respected publications as the Oracle Technology Network (OTN), Oracle Magazine, Oracle Informant, PC Week (eWeek), Dell Power Solutions Magazine, The LINUX Journal, LINUX.com, Oracle FAQ, Ask Toad and Toad World.

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