Abstract
What is "big data" anyway? Gigabytes? Terabytes? Petabytes? A brief personal memory may provide some perspective. In the late 1980s at Columbia University I had the chance to play around with what at the time was a truly enormous "disk": the IBM 3850 MSS (Mass Storage System). The MSS was actually a fully automatic robotic tape library and associated staging disks to make random access, if not exactly instantaneous, at least fully transparent. In Columbia’s configuration, it stored a total of around 100 GB. It was already on its way out by the time I got my hands on it, but in its heyday, the early to mid-1980s, it had been used to support access by social scientists to what was unquestionably "big data" at the time: the entire 1980 U.S. Census database.
Publisher
Association for Computing Machinery (ACM)
Reference11 articles.
1. A relational model of data for large shared data banks
2. IBM 3850 Mass Storage System; http://www.columbia.edu/acis/history/mss.html. IBM 3850 Mass Storage System; http://www.columbia.edu/acis/history/mss.html.
3. IBM Archives: IBM 3380 direct access storage device; http://www-03.ibm.com/ibm/history/exhibits/storage/storage_3380.html. IBM Archives: IBM 3380 direct access storage device; http://www-03.ibm.com/ibm/history/exhibits/storage/storage_3380.html.
4. Kimball R. 1996. The Data Warehouse Toolkit: Practical Techniques for Building Dimensional Data Warehouses. New York: John Wiley & Sons. Kimball R. 1996. The Data Warehouse Toolkit: Practical Techniques for Building Dimensional Data Warehouses. New York: John Wiley & Sons.
5. What does the eye tell the brain?: Development of a system for the large-scale recording of retinal output activity
Cited by
50 articles.
订阅此论文施引文献
订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献