[HN Gopher] What Goes Around Comes Around (2004) [pdf]
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       What Goes Around Comes Around (2004) [pdf]
        
       Author : wes-ton
       Score  : 16 points
       Date   : 2023-04-15 07:21 UTC (2 days ago)
        
 (HTM) web link (people.cs.umass.edu)
 (TXT) w3m dump (people.cs.umass.edu)
        
       | sonic-martin wrote:
       | 2023 version with the title ' M. Stonebraker, et al., What Goes
       | Around Comes Around... And Around' is in the works.
       | 
       | See https://15721.courses.cs.cmu.edu/spring2023/schedule.html
        
       | genjii931 wrote:
       | Abstract This paper provides a summary of 35 years of data model
       | proposals, grouped into 9 different eras. We discuss the
       | proposals of each era, and show that there are only a few basic
       | data modeling ideas, and most have been around a long time. Later
       | proposals inevitably bear a strong resemblance to certain earlier
       | proposals. Hence, it is a worthwhile exercise to study previous
       | proposals. In addition, we present the lessons learned from the
       | exploration of the proposals in each era. Most current
       | researchers were not around for many of the previous eras, and
       | have limited (if any) understanding of what was previously
       | learned. There is an old adage that he who does not understand
       | history is condemned to repeat it. By presenting "ancient
       | history", we hope to allow future researchers to avoid replaying
       | history. Unfortunately, the main proposal in the current XML era
       | bears a striking resemblance to the CODASYL proposal from the
       | early 1970's, which failed because of its complexity. Hence, the
       | current era is replaying history, and "what goes around comes
       | around". Hopefully the next era will be smarter.
        
       | TachyonicBytes wrote:
       | There doesn't seem to be much discussion here. The interesting
       | thing for me is actually that this paper is a part of the larger
       | "Readings in Databse Systems"[1], a book composed of thin
       | chapters discussing certain "mandatory" papers that you must
       | read, if you want to have a deeper understanding of database
       | systems.
       | 
       | It has been posted a lot on HN[2], but never quite got attention.
       | [1] http://www.redbook.io/ch1-background.html       [2]
       | https://news.ycombinator.com/item?id=15436647
        
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