Fifty Years of Databases (2012)
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Fifty Years of Databases (2012)
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Re: Fifty Years of Databases (2012)
#2 IDS: The first NoSQL data store? In 1962 (sigmod.org)
1 point by yorp 3 minutes ago | flag | cached | share | discuss
Fifty Years of Databases (2012)Re: Fifty Years of Databases (2012)
#3IDS: The first NoSQL data store? In 1962 (sigmod.org) 1 point by yorp 3 minutes ago | flag | cached | share | discuss NoSQL doesn't appear anywhere on that page. The title should be Fifty Years of Databases (2012)
Right. We changed it back.
Submitters: please don't editorialize in titles.
Re: Fifty Years of Databases (2012)
#4IDS: The first NoSQL data store? In 1962 (sigmod.org) 1 point by yorp 3 minutes ago | flag | cached | share | discuss NoSQL doesn't appear anywhere on that page. The title should be Fifty Years of Databases (2012)
Right. We changed it back. Submitters: please don't editorialize in titles.
Thanks.
I flag submissions with questionable titles. I believe this is the right thing to do, but what about after the title is changed? Does it still show up in a queue? Should I unflag submissions if I notice the title is changed?
Re: Fifty Years of Databases (2012)
#5>> In addition, IDS and other network systems encoded what we now think of as the “joins” between different kinds of records as part of the database structure rather than specifying them in each query.
--
This is basically Neo4j and other graph databases.
See: http://maxdemarzidotcom.files.wordpress.com/2012/08/screen-s...
Those "R1", "R2"s in the picture... those are your "joins".
Re: Fifty Years of Databases (2012)
#6"the origins of the standard architecture for OLTP, which is row-based, and says it’s no longer optimal for any of the use cases that it is applied to. He proceeds to describe some research he has done, showing that row-based databases spend about 90 percent of their time acquiring and releasing locks, buffer management, and other activities that could be characterized as overhead in comparison to main task of reading and writing data. These results, which in Stonebraker’s view are intrinsic to the row-based architecture, require a new architecture to overcome. The discussion proceeds to a new database architecture, known as “NewSQL” or “NewOLTP,” which is single-threaded, lock-free, doesn’t require disk I/O in the critical path, and can scale out to a large multiple node cluster. Stonebraker criticizes the eventual consistency model that some NoSQL distributed systems employ and he defends the ACID guarantees as a superior model."
http://www.se-radio.net/2013/12/episode-199-michael-stonebra...
Re: Fifty Years of Databases (2012)
#7IDS: The first NoSQL data store? In 1962 (sigmod.org) 1 point by yorp 3 minutes ago | flag | cached | share | discuss NoSQL doesn't appear anywhere on that page. The title should be Fifty Years of Databases (2012)
So noSQL was absoleted by relational databases in '80
Re: Fifty Years of Databases (2012)
#8Earlier quoted context omitted.
Right. We changed it back. Submitters: please don't editorialize in titles.
Thanks. I flag submissions with questionable titles. I believe this is the right thing to do, but what about after the title is changed? Does it still show up in a queue? Should I unflag submissions if I notice the title is changed?
Sure, if the reason why you flagged a story gets fixed, unflagging it is a good idea.
Re: Fifty Years of Databases (2012)
#9"the origins of the standard architecture for OLTP, which is row-based, and says it’s no longer optimal for any of the use cases that it is applied to. He proceeds to describe some research he has done, showing that row-based databases spend about 90 percent of their time acquiring and releasing locks, buffer management, and other activities that could be characterized as overhead in comparison to main task of readin…
he's describing voltdb (that he built)
Re: Fifty Years of Databases (2012)
#10"the origins of the standard architecture for OLTP, which is row-based, and says it’s no longer optimal for any of the use cases that it is applied to. He proceeds to describe some research he has done, showing that row-based databases spend about 90 percent of their time acquiring and releasing locks, buffer management, and other activities that could be characterized as overhead in comparison to main task of readin…
he's describing voltdb (that he built)
plus MemSQL, a YC company =)