The Average number of operating systems used was only 1.2, and 67% of users only used one OS. Operating System for your typical data mining job is: Next poll question was on operating system. We see that the bulk (~ 78%) of data mining analysis is done within a PC-style range, with up to 16GB of memory and up to 16 cores. The most common memory size is 5 to 16 GB, and most common CPU size is 3-4 cores.
Circle size corresponds to the number of responces. Data Mining Computing Resource Distribution: Processors (cores) vs Memory (GB). Median memory size is in 5-16 GB range (say 8GB), also doubleĢ010 Computer configuration poll, which was 3GB.įig 2. How much memory your typical data mining job actually uses: We see that the median number of cores only doubled, to 3-4 in 2015 from 2 in 2010. Which probably corresponds to the number of cores in the CPU (many popular laptops/PCs now have 4 cores), but I doubt that data mining jobs are so well parallelized that they actually use all 4 cores.Ĭomparing with a similar poll 2010 KDnuggets poll:Ĭomputer configuration for your main Analytics / Data Mining machine, Since the most common answer is 3-4 cores How many processors/cores your typical data mining job actually uses?Īlthough my note on the poll said "if you have 8-core processor but your job only uses 1, choose 1", I suspect most voters ignored this, Next poll question was on processing power. The average data miner in this poll used 1.4 platforms.ĥ4% used only PC/laptop, 9% used only dept server, and 5% only the cloud.Īmong those that used cloud computing, 59% of them used private cloud, Interestingly, PC remains the most popular platform for data mining and analytics work, although a significant part is also done in the cloud and on a server.įig 1: Platform Popularity for Analytics / Data Mining: PC vs Server vs Cloud. The Venn diagram below shows the relative popularity of PC/Laptop (85%), Server (30%), and Cloud platforms (24%), and also the overlaps. The tables below summarize the results of KDnuggets Poll:Ĭomputing resources for your analytics, data mining, data science work or research, based on 282 voters.
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